Latest news with #GPU
Yahoo
17 hours ago
- Yahoo
Nvidia RTX 5050 GPU leaks suggest a generational leap at a budget price
When you buy through links on our articles, Future and its syndication partners may earn a commission. The RTX 5050 Mobile is Nvidia's upcoming entry-level GPU for laptops. Based on new leaks, this GPU looks far more capable than its 'budget' tier would suggest. Though Nvidia hasn't officially announced its specs, the chip has already appeared in product pages from Acer, HP, and Lenovo, with models like the Acer Nitro 5, HP Victus 16, and Lenovo Legion 5i all slated to include it. The RTX 5050 Mobile is built on the new Blackwell architecture, marking a clean break from the RTX 4050 Mobile's Ada Lovelace foundation. While the RTX 5050 shares the same CUDA ("Compute Unified Device Architecture") core count as its predecessor (2,560), everything else -- from the memory configuration to the clock speeds -- suggests this new chip represents a generational leap in capability. And this generational jump is available for an affordable price. The specs were accidentally leaked by the German IT company Kiebel (via momomo_us). Those specs point to two distinct RTX 5050 Mobile variants. Most laptops will ship with an 8GB GDDR6 configuration running at up to 100W TGP. However, a second version reportedly pairs the same core GPU with 8GB of faster GDDR7 memory. This version appears in a handful of higher-end laptops, including the Asus ROG Strix G16 and Lenovo Legion 5 Pro engineering builds. It may allow for improved bandwidth and power efficiency in demanding workloads, but for now, take all that with a pinch of salt. According to the leaked specs, which surfaced in a retailer listing, the RTX 5050 is expected to include 20 RT cores, 80 Tensor cores, 8GB of GDDR6 memory on a 128-bit bus, and clock speeds up to 2.52GHz. Power draw ranges from 60W to 100W, depending on the chassis. It also gains access to Nvidia's latest Max-Q 4.0 power optimization stack. That's the same efficiency-boosting tech used in the higher-end 5070 and 5090 mobile chips. The 50-class tier has traditionally been where Nvidia cuts corners, often stripping memory, limiting bus widths, and dialing down RT performance. That made previous 'entry-level' GPUs like the RTX 3050 or 4050 tough sells, especially for gamers looking to push modern titles with ray tracing enabled or DLSS turned on. But the RTX 5050 changes that equation. Thanks to Blackwell's improved power management and architectural upgrades, Nvidia is delivering more performance in the same power envelope, or less. It's a smarter GPU, not just a faster one. Thanks to Blackwell's improved power management and architectural upgrades, Nvidia is delivering more performance in the same power envelope, or less. Early analysis suggests the 5050 offers a ~45% uplift over the 4050 in raw FP32 compute power, aided by its wider memory bus (128-bit vs 96-bit), higher clock speeds, and more VRAM. With 8GB of GDDR6, it avoids the memory bottlenecks that hampered the 6GB RTX 4050 in some games and creative apps. More importantly, Blackwell's efficiency translates into real-world advantages. Frame generation, DLSS 4, ray-traced lighting, and AI-assisted game logic all benefit from the updated Tensor cores and 4th-gen RT units, even in a chip this size. While we don't have official benchmarks yet, we know enough to put the RTX 5050 Mobile in context. It's faster than the RTX 4050 Mobile in nearly every metric that matters. It runs cooler, clocks higher, and offers significantly better bandwidth. Thanks to DLSS 4 and increased memory headroom, games that struggled to hold 60 fps at 1080p on the 4050, especially with ray tracing enabled, should fare far better on the 5050. In some cases, it could even approach RTX 4060 Mobile performance levels, especially in thin-and-light laptops where the 4060 is power-constrained. When configured at 100W in larger machines like the Legion 5 or Nitro 18, the 5050 may even outperform a 4060 running at 65W. GPU Architecture Cores Memory Bus TGP RTX 4050 Mobile Ada Lovelace 2560 6GB GDDR6 96-bit 35–65W RTX 5050 G6 Mobile Blackwell 2560 8GB GDDR6 128-bit 60–100W RTX 4060 G7 Mobile Blackwell 2560 8GB GDDR7 128-bit 80–115W RTX 4060 Mobile Ada Lovelace 3072 8GB GDDR6 128-bit 60–115W That's not to say it's a 4060 killer — it isn't. The 4060 still has more CUDA cores (3,072 vs. 2,560) and a higher theoretical ceiling. However, the gap is much smaller than the model numbers imply. And in real-world gaming at 1080p, especially with DLSS and frame generation, the 5050 could close that gap further. This is where the RTX 5050 gets interesting. OEMs aren't treating this like a bargain-bin GPU. Acer, HP, and Lenovo have all listed RTX 5050 configurations in laptops that span midrange to premium territory. That includes gaming-focused machines like the Nitro 5, Legion 5i, and Victus 16, but also prosumer ultrabooks like the LG Gram Pro 16 and IdeaPad Pro 5. These systems will mostly use the standard GDDR6 version, but we expect higher-tier designs to quietly adopt the GDDR7 variant as a performance differentiator. Acer's Nitro line-up confirms multiple RTX 5050 configurations, with some using a 60W TGP and others going as high as 100W. That's a critical detail. The 5050's performance will vary significantly depending on how much power it's allowed to draw. A 60W version will struggle to match a 4060. A 100W version might trade blows with it. Expect pricing in the $1,199 to $1,499 range at launch, though GDDR7-equipped models could push closer to the $1,600–$1,700 mark depending on CPU and chassis pairing. The RTX 5050 Mobile isn't a cut-down afterthought. It's not a recycled 4050. It's a thoughtfully tuned, architecture-first evolution that delivers next-gen features in laptops that won't require a second mortgage. Thanks to Blackwell's efficiency gains and smarter feature integration, Nvidia has finally given the 50-class a reason to exist beyond marketing. The RTX 5050 offers legitimate 1080p gaming chops, full ray tracing and DLSS 4 support, and enough VRAM to future-proof budget laptops. And with the GDDR7 variant waiting in the wings, this might be the most dynamic 50-class release Nvidia has ever shipped. Buyers will still need to shop carefully. Not every RTX 5050 laptop will unlock its full potential, and some may be priced too close to 5060 models for comfort. But in the right system, the RTX 5050 Mobile could be the best value GPU of 2025. The Nvidia GPU you actually want could launch next month AMD's Ryzen Z2 Extreme just brought AI to handhelds — should the competition be worried? I used the Asus ROG Strix G16 for a week, and it may be the best value in gaming laptops right now
Yahoo
21 hours ago
- Yahoo
New 3000W Asus PSU Handles 4 RTX 5090s in a Single PC
If you paid any attention to the launch of Nvidia's flagship GeForce RTX 5090 GPU, you know that some PSU connectors weren't up to handling the GPU's 575W power draw. Third-party cables were to blame for some of the melting incidents, but even cables and connectors from big names sometimes couldn't take the heat. But Asus thinks its new PSU is up to the task—and not just for one GPU. The Asus Pro WS Platinum power supply is meant to handle four RTX 5090s (or RTX Pro 6000s) simultaneously. Asus has a plan for preventing a very expensive meltdown: heavy-duty cables and connectors with gold-plated copper pins. The pins should make for lower connector temps by as much as 10°C (compared with standard connectors), according to Asus. The company also says that Pro WS Platinum's connectors have better socket pin contact for a more efficient draw. Credit: Asus As VideoCardz notes, Asus took care to help users connect the cables properly. The PCIe power cables for the graphics cards have purple connectors, while the CPU power cables have gray connectors. The cables are etched for better flexibility and—so long as you route them reasonably—can keep temperatures as low as 50°C under the max temp limit. The Pro WS Platinum is meant for professional workstations with heavy AI workloads rather than gaming PCs. It's available in three models: 1600W, which supports up to two RTX 5090s; 2200W, which supports up to four RTX 5080s; and a 3000W beast that runs up to four RTX 5090s. Asus says it beefed up the cooling for these PSUs with extruded aluminum heatsinks and fans that have dual-ball fan bearings. Other life-extending features include a moisture-resistant coating for the PCB and high-end capacitors. All three models are 80 Plus Platinum certified. And the PSU is just 6.89 inches long (again, for all three models), so it should fit comfortably in many workstation cases. Credit: Asus The RTX 50 series GPUs aren't the first to have the occasional cable/connector meltdown, but they have been dramatic. User error might be responsible for at least some of the melting issues, so MSI used special, yellow connectors for the GPU cables. The upgraded design was meant to help customers insert the cables correctly—and not to draw full power until they're firmly plugged in. The connector seems to have helped, though not entirely.
IOL News
4 days ago
- Business
- IOL News
Coalition governments - 'a year of unfulfilled promises'
File: President Cyril Ramaphosa with leaders of political parties that are signatories to the Government of National Unity (GNU) at Genadendal, the President's official residence in Cape Town on November 11, 2024. This month marks one year since the GNU was formed. Image: GCIS The coalition of political parties leading the country has failed to improve the living conditions of South Africans. This was the assessment of opposition parties outside the Government of National Unity (GNU) and the Government of Provincial Unity (GPU) that leads KwaZulu-Natal as the one-year anniversary of the coalition governments was marked this week. The two structures were formed last year after the African National Congress (ANC) failed to win the majority of the vote in the national government elections. The GNU is made up of close to 10 parties, while the GPU in KZN consists of the ANC, Inkatha Freedom Party (IFP), Democratic Alliance (DA), and the National Freedom Party (NFP). ActionSA was scathing in its criticism of the GNU, saying that it has been an expensive exercise for the country without any returns. Athol Trollip, ActionSA Parliamentary Leader, said the metrics have been poor since the GNU took over. He noted that the formation of the GNU saw the cabinet expand from 30 to 32 ministers and from 36 to 43 deputy ministers. Salaries, staff, and related perks for newly appointed ministers and deputy ministers alone have increased the cabinet's budget by almost R250 million each year, an outrageous financial burden placed on already overburdened taxpayers. 'Under the GNU, the expanded unemployment rate increased from 42.6% to 43.1%. According to the latest employment figures, nearly 300 000 people lost their jobs in the first quarter of 2025 alone. The painful truth is that in the GNU's first year, annual growth did not exceed the 1% ceiling, which is less than population growth. Even for the current financial year, National Treasury projects an overly optimistic, but still inadequate, growth rate of 1.4%. As long as growth remains this low, the heartbreak of joblessness is likely to persist. Video Player is loading. Play Video Play Unmute Current Time 0:00 / Duration -:- Loaded : 0% Stream Type LIVE Seek to live, currently behind live LIVE Remaining Time - 0:00 This is a modal window. Beginning of dialog window. Escape will cancel and close the window. 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Text Color White Black Red Green Blue Yellow Magenta Cyan Transparency Opaque Semi-Transparent Background Color Black White Red Green Blue Yellow Magenta Cyan Transparency Opaque Semi-Transparent Transparent Window Color Black White Red Green Blue Yellow Magenta Cyan Transparency Transparent Semi-Transparent Opaque Font Size 50% 75% 100% 125% 150% 175% 200% 300% 400% Text Edge Style None Raised Depressed Uniform Dropshadow Font Family Proportional Sans-Serif Monospace Sans-Serif Proportional Serif Monospace Serif Casual Script Small Caps Reset restore all settings to the default values Done Close Modal Dialog End of dialog window. Next Stay Close ✕ 'While isolated pockets of improvement may be cited in certain areas, they have yielded little to no tangible impact on the prevailing socio-economic conditions in South Africa. The data continues to tell a sobering story that over the past 12 months, this government has paraded itself as a project of renewal, while the facts point to an administration that has mastered the art of governance through a thin veil of public relations,' Trollip said. Speaking on the GNU, Makashule Gana of Rise Mzansi said, 'It has been a huge learning experience about one another and the necessary compromises needed to make the government work. A year in, it is clear that we need structures that get the wheels going. I am confident that the second year of the GNU will work better.' Assessing the GPU in KZN, EFF leader in the province, Mongezi Twala, said, 'The GPU appears to be collapsing in the province. We have never seen a situation where there is disruption in teaching and learning because the Department of Education has failed to pay money for norms and standards. We have never seen a situation where some hospitals are not functioning because supplies have not been paid. Add to that, the allegations of gender-based violence in the Premier's office that have forced the Director-General to resign. This is not a government of the people; it's a government that cares less about the people,' said Twala. Political analyst Syabonga Ntombela stated that the GNU has managed to stabilise the economy of South Africa, which could have been worse than it is currently. He added that the GNU had managed to curtail some of the government proposals, including the VAT increase that would have ordinarily passed if the ANC was still enjoying an outright majority. 'The GNU has shielded the ANC from the onslaught that began last year during the general elections in May. The evidence of this is demonstrated by the ANC's performance in the by-elections. So, the ANC will not suffer worse than most people think or wish because of the GNU's performance in some strategic areas of society and the economy,' he said.
Yahoo
4 days ago
- Business
- Yahoo
NBIS vs. AMZN: Which AI-Infra Stock Seems a Better Pick at the Moment?
Nebius Group N.V. NBIS is an upcoming player in the AI-infrastructure market, while Amazon AMZN is an established tech behemoth. NBIS is a GPU-focused cloud platform, while Amazon dominates the AI cloud space through Amazon Web Services or AWS, the world's leading cloud provider, integrating AI capabilities at scale. Per an IDC report, spending on AI infrastructure is expected to top $200 billion by 2028. This uptrend in spending benefits both Amazon and Nebius, but not equally. So, if an investor wants to make a smart buy in the AI infrastructure space, which stock stands out? Let's break down how each company is performing and which one looks like the better investment right now. Amsterdam-based Nebius is positioning itself as a specialized AI infrastructure company. NBIS also builds full-stack infrastructure for AI, like large-scale GPU clusters, cloud platforms, and tools and services for developers. Collaboration with Saturn Cloud and deeper NVIDIA integration boosts bodes well. NBIS is doubling down on AI infrastructure with an ambitious $2 billion capital expenditure plan for 2025, up from its earlier guidance of $1.5 billion. NBIS stated that the increase was primarily due to some planned fourth-quarter spending shifting into the early first quarter. Nebius is focusing on building a global footprint, with capacity in the United States, Europe and the Middle East amid accelerating demand for its AI-infrastructure services. It added three new regions, including a strategic data center in Israel, in the last reported quarter. In June 2025, NBIS announced private placement of $1 billion in convertible notes to capitalize on the AI-infrastructure boom and drive-up revenue opportunities in 2026. It recently announced the general availability of NVIDIA GB200 Grace Blackwell Superchip capacity for its customers in Europe. NBIS plans to build a data-center infrastructure pipeline that can offer scalability to more than 1 gigawatt ('GW') of capacity. With 1 GW of power, NBIS expects significantly higher revenues beyond its current guidance. To gain a larger share of the AI cloud compute market, NBIS is focusing on technical enhancements that increase reliability and reduce downtime to boost customer retention. In the first quarter, Nebius significantly upgraded its AI cloud infrastructure through improvements to its Slurm-based cluster and its object storage capabilities. The upgraded storage system ensures that big data sets can be easily accessed and saved quickly during model training, directly lowering time-to-result for end users. NBIS successfully graduated multiple platform services like MLflow and JupyterLab Notebook from beta to general availability. Nebius expanded integrations with external AI platforms like Metaflow, D Stack and SkyPilot, enabling customers to migrate tools with nominal friction. Nebius remains confident in achieving its full-year ARR guidance of $750 million to $1 billion. For 2025, the company also reaffirmed its overall revenue guidance of $500 million to $700 million. Nonetheless, the intense competition from behemoths remains a concern, along with profitability Management reaffirmed that adjusted EBITDA will be negative for the full year 2025. Though it added that adjusted EBITDA will turn positive at 'some point in the second half of 2025.' While NBIS is an early-stage player, Amazon is one of the dominant names in the AI cloud infrastructure space with its AWS platform. AWS revenues surged 17% year-over-year in the first quarter of 2025, with an annualized revenue run rate pegged at $117 billion. AWS backlog reached $189 billion with a 4.1-year weighted average life, offering forward revenue visibility. In the last reported quarter, AWS signed new agreements with major companies, including Ericsson, Adobe, Uber Technologies, Nasdaq, Fujitsu and many others. Amazon highlighted that more than 85% of global IT spending is still on-premises, suggesting immense growth potential for AWS. More significantly, Amazon's AI business segment now operates at a multi-billion-dollar annual revenue run rate with triple-digit percentage growth year over year. Amazon's strategy focuses on custom silicon development, particularly its Trainium 2 chips, which offer 30-40% better price performance compared to GPU-based instances. The company has also expanded its AI model offerings through Amazon Bedrock and introduced services like Amazon Nova foundation models. AMZN has added the latest foundation models in Amazon Bedrock, including Anthropic's Claude 3.7 Sonnet, Meta's Llama 4 family of models, DeepSeek's R1 and Mistral AI's Pixtral Large. AMZN is ramping up investment to boost its AI market share. It recently announced it plans to invest up to $20 billion in Pennsylvania to expand its data center infrastructure for AI and cloud computing. Before that, it allocated $10 billion in investments to expand cloud computing infrastructure in North Carolina. However, capacity constraints pose a challenge. Amazon has indicated that AI demand currently outstrips available capacity, suggesting the company could drive higher revenues with additional infrastructure. The intense competition from Microsoft's Azure and Google Cloud is concerning. Heavy capex spend could strain margins if AI returns do not materialize. AMZN shares have gained 2.9% while NBIS' stock has appreciated 25.5%. Image Source: Zacks Investment Research Valuation-wise, both Amazon and Nebius are overvalued, as suggested by the Value Score of D and the Value Score of F, respectively. Image Source: Zacks Investment Research In terms of Price/Book, NBIS shares are trading at 3.52X, lower than AMZN's 7.36X. Analysts have significantly revised their earnings estimates downward for NBIS' bottom line for the current year. Image Source: Zacks Investment Research For AMZN, there is marginal upward revision. Image Source: Zacks Investment Research NBIS and AMZN currently carry a Zacks Rank #3 (Hold) each. You can see the complete list of today's Zacks #1 Rank (Strong Buy) stocks here. NBIS is carving out a niche for itself in the AI infrastructure space, while AMZN is a force to be reckoned with. If investors are seeking an AI infrastructure stock with long-term growth potential, Amazon is a better pick. Want the latest recommendations from Zacks Investment Research? Today, you can download 7 Best Stocks for the Next 30 Days. Click to get this free report Inc. (AMZN) : Free Stock Analysis Report Nebius Group N.V. (NBIS) : Free Stock Analysis Report This article originally published on Zacks Investment Research ( Zacks Investment Research
Yahoo
4 days ago
- Business
- Yahoo
Nebius Just Posted 700% ARR Growth - But Can It Survive the GPU Price War?
The explosion of artificial intelligence has sparked a race to build the cloud infrastructure that powers AI models. Two emerging competitors, Nebius Group (NASDAQ:NBIS) and CoreWeave (NASDAQ:CRWV), have stepped onto this stage as alternatives to the traditional hyperscalers, Amazon AWS (NASDAQ:AMZN), Microsfot (NASDAQ:MSFT) Azure, Google (NASDAQ:GOOG) (NASDAQ:GOOGL). Both focus on GPU-centric cloud services built for AI, but they differ sharply in strategy, geography, and financial structure. In this article, I will break down Nebius's business model, technology stack, and expansion roadmap and evaluates how it stacks up against CoreWeave and the broader GPUaaS market. Nebius Group emerged in 2024 following the breakup of Russia's Yandex. The Amsterdam-based firm was rebranded from Yandex N.V. (Yandex's Dutch parent) after it divested its Russian operations for $5.4 billion. At its core, Nebius delivers cloud-based graphics processing unit (GPU) compute, primarily using Nvidia (NASDAQ:NVDA) hardware, for AI model training and inference. In essence, Nebius offers Nvidia GPU clusters on demand, along with a suite of AI development tools. But Nebius isn't just about raw compute. The company offers an integrated AI platform, supporting Nvidia's AI Enterprise suite and machine learning operations (MLOps) tooling. In June 2025, it partnered with Saturn Cloud to launch an AI-first MLOps cloud, reinforcing its ambition to build an end-to-end ecosystem. While 75% of revenue stems from its core AI cloud, Nebius has three other segments: Toloka, a data-labeling platform backed by Bezos Expeditions, TripleTen, an edtech coding bootcamp, and Avride, an autonomous driving software effort. These units may not yet move the financial needle, but they provide vertical integration and long-term optionality. Source: Nebius The company targets AI-native startups, labs, and enterprises seeking scalable infrastructure, similar to rivals like Lambda and CoreWeave. Nebius has highlighted partnerships and pilot customers rather than naming large established clients so far. Saturn Cloud is a good example: it bundles Nebius's compute with user-friendly dev tools. Another example is Nebius's Toloka platform, which secured an investment from Bezos Expeditions (the personal venture fund of Jeff Bezos) in May 2025 a signal that Nebius's ecosystem (in this case, an AI data labeling service) has caught the attention of major tech investors. That approach also gives Nebius a very different customer mix than CoreWeave. While CoreWeave generated 77% of its 2024 revenue from just two clients (Microsoft alone accounted for 62%), Nebius has no such concentration. Its customer base is broader. On the technology stack, Nebius is betting heavily on Nvidia hardware and associated software. Nebius offers Nvidia's top-tier GPUs such as the A100 and H100 today, and it has announced early access to next-generation chips like the Nvidia H200 and Blackwell GPUs in its pipeline. In fact, Nebius claimed to be the first in Europe to deliver general availability of Nvidia's Blackwell architecture, signaling a close partnership with Nvidia. The cloud platform itself includes compute instances with Nvidia GPUs, high-performance networking, and distributed storage. The explosion in generative models like ChatGPT, Stable Diffusion, and enterprise LLMs has triggered a global GPU arms race. Training or fine-tuning these models requires thousands of high-end GPUs, like the H100 or Blackwell, each priced upwards of $30,000. But GPUs alone aren't enough. Running them efficiently requires liquid cooling, low-latency networking, high-throughput storage, and technical talent that most organisations can't afford. Enter GPU-as-a-Service (GPUaaS). This model allows companies to lease high-performance GPUs on demand, avoiding the upfront capital and infrastructure burden. GPUaaS enables startups, researchers, and enterprises to scale workloads elastically, whether training models from scratch, fine-tuning open-source architectures, or running inference at scale. It's cost-efficient, scalable, and strategic. But why use Nebius or CoreWeave instead of simply calling OpenAI or Anthropic? The answer lies in control, cost, and flexibility. Using OpenAI's APIs locks users into a black box (limited customisation, no control over latency or inference logic, and costs that scale poorly at volume). GPUaaS providers like Nebius unlock a different path. One where companies can train or fine-tune their own models, maintain full IP ownership, and optimise performance for their specific workloads. It's the difference between renting pre-packaged software versus owning your tech stack. For AI-native startups, research institutions, and even mid-size enterprises with proprietary data, that control is critical. Since mid-2024, Nebius has been executing on ambitious expansion plans, especially across Europe. The company announced it will invest over $1 billion by mid-2025 to build out AI infrastructure in Europe. Nebius already operates a major data center in Finland (a holdover from Yandex Cloud). In 2024, Nebius began expanding the Finland facility to increase capacity. It also signed letters of intent for two additional data centers in Europe. One concrete project is a new GPU cluster in Paris, France, which Nebius says will offer Nvidia GPUs to European customers. This Paris region gives Nebius a presence in Western Europe's heart, likely aiming to attract EU-based AI startups and enterprises that prefer their data to stay within EU borders. In June 2025, after Nvidia CEO Jensen Huang said the United Kingdom (UK) is in a Goldilocks circumstance and he would invest there. After that, Nebius officially launched its services in the UK, marking its entry into the British market. As part of the UK launch, Nebius highlighted that it's bringing the latest Nvidia Blackwell Ultra GPU systems to British soil. By offering the newest GPUs (even before many competitors), Nebius is courting the UK's AI developers who need top-tier compute. The UK expansion also likely involves setting up a local office and partnerships to integrate into Britain's AI ecosystem. With Nvidia announcing several commitments and increasing awareness about the UK AI infrastructure, and helping Nebius to deploy new facilities in the country will be a great opportunity for Nebius. Nebius isn't stopping at Europe. The company has quietly begun expanding into North America as well. In early 2025, it opened its first U.S. GPU cluster in Kansas City to meet surging AI compute demand. Nebius will compete in the home market of CoreWeave, AWS, and other American providers, leveraging perhaps a cost advantage or available capacity to carve out a niche. Its Finnish data centre is being scaled to support up to 60,000 GPUs, while its new U.S. site in Kansas City could host up to 35,000 more. These clusters are optimised for AI compute, using NVIDIA H100s, H200s, and the upcoming Blackwell line. Of course, expansion at this scale requires immense capital. Nebius's spending plans include $600 million to $1.5 billion of capital expenditures in the near term to increase capacity in Finland, build out France, and also move into North America. To fund this, Nebius has tapped its cash reserves and raised new funds. In late 2024, Nebius secured $700 million in a private placement from investors including Nvidia and Accel, issuing new shares at $21 each. And in June 2025, it raised an additional $1 billion via convertible notes to bolster its liquidity. Nebius's most direct rival is CoreWeave, the U.S.-based cloud provider that has carved out a strong position as a specialist in GPU computing. Both companies are GPU-native infrastructure providers built from the ground up to serve AI developers, and both emerged outside the hyperscaler ecosystem. But beyond that shared DNA, their strategies diverge sharply. CoreWeave started in 2017 and pivoted from cryptocurrency mining to GPU cloud services. Since then, it has ridden the generative AI wave to astonishing heights. Revenue surged from just $25 million in 2022 to $229 million in 2023 and $1.92 billion in 2024. This 8 annual growth in 2024 reflects CoreWeave's key role in supplying compute to AI firms. For instance, it reportedly secured a major contract to provide infrastructure to OpenAI in 2023, stepping in to fill capacity gaps left by the hyperscalers. At one point, spot-market GPU prices reached $8/hour for top chips. CoreWeave capitalised on that spike by procuring hardware at any cost, including used GPUs from crypto miners and massive forward orders of H100s. Nebius, by contrast, entered the market in 2024 but with unique advantages. Rather than building from scratch, it inherited Yandex's cloud platform, engineering talent, and a sizable capital base following the $5.4 billion divestment of its Russian business. While CoreWeave raised over $2.3 billion in equity and secured more than $10 billion in debt facilities to finance growth, Nebius has a stronger balance sheet from the outset. With that being said, Nebius can afford to undercut on pricing and invest heavily without immediate pressure to generate profits, whereas CoreWeave, while also growth-focused, carries significant debt and will eventually need higher margins to service it. Both companies rent out GPU-heavy compute instances via the cloud, but Nebius's model is slightly more holistic. In addition to bare compute, it offers a full stack of cloud services (storage, networking, managed databases) and is building partnerships to make its platform more attractive to AI teams. CoreWeave, by contrast, emphasises flexibility and raw performance. It offers virtual machines or containers with GPUs, targeting advanced AI labs that require massive training clusters and already have in-house infrastructure expertise. Source: Nebius In GPUaaS, where infrastructure is increasingly commoditised, price and availability matter. Nebius recently slashed on-demand rates. Its H100 dropped from $4.85/hour to $2.95/hour pay-as-you-go, with further discounts for long-term commitments. CoreWeave's on-demand H100 pricing remains around $4.25/hour, although it offers up to 60% discounts for committed usage. This 45% discount is meaningful, and such a price difference can be very compelling for cost-sensitive customers like AI startups burning investor cash to train models. Source: CoreWeave Interestingly, both companies count NVIDIA as a strategic backer. NVIDIA invested $350 million for a 7% stake in CoreWeave and also participated in Nebius's funding round. This dual alignment signals NVIDIA's intention to support multiple GPU-native cloud providers and maintain high downstream demand for its hardware. That backing also gives both firms early access to next-gen chipsan edge in securing performance-sensitive workloads. Neither Nebius nor CoreWeave builds its own chips (unlike AWS with Trainium or Google with TPUs), but both are innovating in deployment. Nebius, for instance, secured early access to Blackwell GPUs in Europe, likely aided by its speed of execution and strategic positioning. Similarly, CoreWeave was among the first to offer H100s at scale in 2023. Both aim to stay on the bleeding edge of NVIDIA's roadmapand attract customers accordingly. A critical piece of the analysis for any cloud provider is unit economics. How profitable (or not) each unit of service is, and what the cost drivers are. In the context of Nebius and its peers, the unit is often one GPU hour of computation. On the revenue side of a GPU-hour, as noted, Nebius cut its on-demand H100 GPU price to $2.95/hour or even lower with long-term commitments. For comparison, AWS charges around $12.29/hour for an on-demand H100 80GB (depending on region). Now, on the cost side, providing one hour of H100 time involves several components: depreciation or lease costs for the GPU hardware, electricity, cooling, infrastructure overhead, and some share of staffing and maintenance. Assuming a $30,000 price tag for an Nvidia H100 80GB and a 3-year capital recovery period, that's $833 per month. At 730 hours/month (247 uptime), that equates to $1.14 per hour just to break even on the hardware. In practice, utilisation isn't 100% (there will be some idle or reserved time), and there are significant power/cooling costs. An H100 can draw 300 to 400 watts under load. At $0.05$0.10 per kWh, electricity costs range from $0.15 to $0.30/hour. Add cooling and networking overhead ($0.10/hour), and total operational costs sit between $0.20 and $0.40/hour. Server CPUs, memory, and networking per GPU add further costs, though relatively minor on a per-hour basis. Bringing this together: if Nebius averages $2.20/hour per H100 (blended between on-demand and committed use) and runs at 80% utilisation, it generates $1.76/hour. With $0.32 in variable opex and $1.14 in depreciation, that leaves $0.30 of gross margin per available hour. Over a year (8,760 hours), this adds up to $15,400 in revenue and $12,600 in gross cash flow, enough to recoup the GPU investment in just under 2.5 years, excluding staff and overhead. At CoreWeave's $4.25/hour, the math looks different. At 80% utilisation, it earns $3.40/hour, about $22,500 annually per GPU. That allows for a 1.3-year payback, assuming similar cost assumptions. But I would expect the higher price tag may reduce utilisation. From a capex efficiency standpoint, Nebius may have structural advantages. First, its balance sheet: it holds $1.4 billion in net cash, while CoreWeave carries $6.2 billion in net debt. CoreWeave's debt-servicing costs add to its effective GPU-hour cost. Second, Nebius can build where costs are lowest. For example, its Finnish data centre benefits from ambient air cooling and access to low-cost nuclear and hydro power. Finland's industrial electricity rates (0.05 to 0.07/kWh) are highly competitive, even versus many U.S. regions. Further Nordic or Eastern European expansion could enhance this edge. Crusoe, for example, takes this to the extreme, placing data centres at oil wells to tap into otherwise flared gas. Another factor in unit economics is utilization rate. One challenge for Nebius is to attract enough workloads to keep tens of thousands of new GPUs busy. However, the company's latest disclosures show extremely strong uptake. By April 2025, Nebius's Annualized Run-Rate Revenue (ARR) reached $310 million, up from $249 million in March. This implies that newly added GPUs were getting filled with work rapidly. Nebius's ARR was growing 684% year-on-year (YoY) as of Q1 2025, indicating that as soon as Nebius deploys more capacity (e.g., a new cluster online), it's seeing customers take it up, likely attracted by the combination of availability and price. GPU mix also plays a role. While H100s are the flagship, Nebius offers older and mid-range GPUs too, like A100s, L40s, or A10s. Many of these were acquired second-hand from miners. A GPU like the A10, which costs $3,500, might rent at $0.75/hour. At 80% utilisation, it brings in $5,200/year, allowing the investment to be recouped in less than 12 months. These legacy GPUs offer higher ROI and subsidise thinner margins on cutting-edge chips. CoreWeave and Lambda Labs use similar strategies. Older GPUs like the A6000 or RTX 3090 have long since paid for themselves, but still rent out at attractive rates. These high-margin units improve blended economics and cushion the break-even curve on H100s or Blackwells. Nebius's revenues are starting from a relatively small base but are growing at an extraordinary pace. In Q1 2025, the company reported revenue of $55.3 million, up 385% year over year, while ARR surged nearly 700% YoY, reaching $310 million by April 2025. This growth, however, comes at a cost: Nebius remains in investment mode and is still loss-making as it builds out infrastructure. In Q1 2025, it posted an adjusted EBITDA loss of $62.6 million and a net loss from continuing operations of $113.6 million. That's wider than the $80.5 million loss in the same period last year, driven by increased operating expenses and depreciation. Still, there are early signs of operating leverage: opex as a percentage of revenue improved from an unsustainable 827% in Q1 2024 to 334% in Q1 2025, an indication that Nebius is gaining scale efficiency even as absolute costs rise. Cash burn remains high. Operating cash outflow reached $197.8 million in Q1 2025 alone. But Nebius's balance sheet is strong. It holds $1.5 billion in cash and cash equivalents against just $6.2 million in debt, providing a solid funding runway. Management has guided for full-year 2025 revenue of $500 to $700 million, potentially 5 higher than 2024 levels, with ARR approaching $1 billion. Longer term, the company targets a 30% adjusted EBIT margin, with room for additional upside as utilisation and gross margins improve. When Nebius re-listed on Nasdaq in October 2024, shares initially traded around $20, giving the company a market capitalization of roughly $4 billionabout where Yandex N.V. had been pre-suspension. At that price, with 2024 revenue at $118 million, Nebius was valued at an eye-watering 34 trailing price-to-sales (P/S). Even on a forward basissay, $600 million in projected 2025 revenue, that implied a 7 forward P/S. A modest multiple for a company growing at 400%+. Investors, drawn by the company's hypergrowth and AI focus, quickly bid up the stock in 2025. Today, Nebius trades at $47, giving it a market cap of $11 billion. At this price, the forward P/S climbs to 18. The EV/Revenue multiple is slightly lower, thanks to Nebius' $1.5 billion in net cash, which brings enterprise value down to $9.7 billion, equating to 16 2025E revenue. Another lens is ARR. At $310 million in April 2025, Nebius trades at 35 ARR. This multiple reflects the market's expectation of sustained exponential growth, justified, to some extent, by its 684% YoY ARR growth at last disclosure. CoreWeave, by comparison, has $2.7 billion in trailing revenue and is valued at around $71 billion, implying a trailing P/S of 26 and a forward P/S closer to 14. GPU count provides another useful valuation reference. Nebius currently has 30,000 GPUs and plans to add up to 60,000 in Finland and another 35,000 in Kansas City. At today's EV, that works out to $324,000 per GPU. CoreWeave, with an enterprise value of $76.9 billion and 250,000 Blackwell GPUs allocated, trades at $307,000 per GPU. On a per-GPU basis, Nebius looks slightly more expensive. However, that spread may be justified by Nebius's capital structure. Unlike CoreWeave, which is heavily levered, Nebius is deploying GPUs primarily through cash, implying less financial risk and potentially better long-term margins. In that context, investors could rationally pay more per GPU for Nebius. It's also worth noting: this valuation assumes Nebius's market cap reflects only its AI Studio business. If you assign any value to Toloka, TripleTen, or Avride, Nebius's implied EV per GPU drops below CoreWeave's. In that sense, the headline multiple overstates how richly Nebius is valued for its core cloud operations alone. Finally, Nebius isn't just attracting retail momentumseveral institutional investors and well-known funds are getting behind the story. In the most recent quarter, John Hussman (Trades, Portfolio), Jefferies Group (Trades, Portfolio), and Paul Tudor Jones (Trades, Portfolio) all increased their stakes in the company, suggesting rising institutional confidence in Nebius's long-term positioning. While Nebius offers a compelling avenue to participate in the AI compute boom, the path from promise to profit is far from guaranteed. The first hurdle is execution. Scaling the fleet from ~30,000 GPUs to more than 60,000 across Finland, the U.K., and a new U.S. cluster will require flawless logistics, uninterrupted chip supply, and enterprise-grade reliability. That leads into a second, more fundamental concern: utilisation risk. Nebius's economic model depends on sustaining high GPU usagetypically around 80%to make the unit economics viable. But that level of utilisation isn't assured. CoreWeave, AWS, Google Cloud, and niche players like Lambda Labs are all aggressively competing for GPU workloads. Pricing pressure, customer churn, or simple overbuild could impair Nebius's ability to monetise its fleet efficiently. Finally, Investors should also be aware that many view Nebius and its peers as AI compute landlords, by essentially renting GPUs like digital REITs. However, there's a key distinction. While REITs benefit from physical assets that depreciate slowly over decades, GPU hardware becomes obsolete within two to three years. The capital turnover is faster, the risk of stranded assets is higher, and the need to reinvest in cutting-edge chips like Blackwell or H200 is constant. Nebius isn't just another AI infrastructure play. It's a true challenger in a market long dominated by hyperscalers. Its explosive growth, capital-light balance sheet, and global-first strategy set it apart from competitors like CoreWeave and Lambda. It also offers some diversification through its other business segments. While its GPU fleet is smaller for now, Nebius's cost advantages and platform breadth provide a credible path to scale. If management executes and demand for AI compute continues to accelerate, today's $12 billion valuation could prove to be a stepping stone, not a ceiling. Ultimately, the AI gold rush won't reward every miner. The winners will be infrastructure providers that combine scale, capital efficiency, and customer-focused design. Nebius is building toward that vision, and it's already secured a seat at the table. I believe Nebius could be a market-beater over the long term. This article first appeared on GuruFocus. Error while retrieving data Sign in to access your portfolio Error while retrieving data Error while retrieving data Error while retrieving data Error while retrieving data
