TensorWave Secures $100 Million Series A Funding Co-Led by Magnetar and AMD Ventures
LAS VEGAS--(BUSINESS WIRE)-- TensorWave, the emerging leader in AMD-powered AI infrastructure solutions, today announced it has raised $100 million in Series A funding. Magnetar and AMD Ventures led the round, with continued support from Maverick Silicon, Nexus Venture Partners, and new investor Prosperity7. This funding builds on the company's earlier SAFE round and positions TensorWave to capitalize on the growing demand for next-gen AI compute infrastructure.
Funding Fuels Rapid Deployment of Massive AMD Instinct MI325X GPU Training Cluster and Supports Scaling for Surging AI Infrastructure Needs
Share
The investment aligns with TensorWave's deployment of over 8,000 AMD Instinct™ MI325X GPUs for a dedicated training cluster, establishing the company as a key player in the AI infrastructure ecosystem. TensorWave is on track to close the year with a revenue run rate exceeding $100 million — a 20x year-over-year increase.
"This $100M funding propels TensorWave's mission to democratize access to cutting-edge AI compute," said Darrick Horton, CEO of TensorWave. "Our 8,192 Instinct MI325X GPU cluster marks just the beginning as we establish ourselves as the emerging AMD-powered leader in the rapidly expanding AI infrastructure market.'
The new capital will fuel TensorWave's operational growth, team expansion, and the accelerated deployment of its Instinct MI325X-powered training cluster. This growth comes at a pivotal moment, as demand for AI computing resources continues to outstrip supply and organizations seek alternatives to limited infrastructure options.
'The $100 million we've secured will transform how enterprises access AI computing resources," said Piotr Tomasik, President of TensorWave. "Through careful cultivation of strategic partnerships and investor relationships, we've positioned TensorWave to solve the critical infrastructure bottleneck facing AI adoption. Our Instinct MI325X cluster deployment isn't just about adding capacity, it's about creating an entirely new category of enterprise-ready AI infrastructure that delivers both the memory headroom and performance reliability that next-generation models demand.'
'Our focus is to continue to expand the ecosystem and support developers with the tools, infrastructure, and performance they need to create, scale, and ship production-ready AI,' shares Jeff Tatarchuk, TensorWave's Chief Growth Officer.
AMD Ventures' strategic investment in TensorWave reinforces the commitment of AMD to expand its footprint in the AI infrastructure space and ensures its latest technologies are available in the cloud and at-scale for leading AI companies and enterprises.
'TensorWave is a key player in the growing AMD AI ecosystem,' said Mathew Hein, SVP Chief Strategy Officer & Corporate Development, AMD. 'Their expanding portfolio of AI and enterprise customers coupled with their expertise in deploying AMD compute infrastructure is driving demand for access to their cutting-edge AI compute services. We're excited to support their next phase of growth.'
'We continue to be highly impressed by what the TensorWave team has built in just a short period of time. TensorWave is not just bringing more compute but rather an entirely new class of compute to a capacity-constrained market. We think this will be highly beneficial to the AI infrastructure ecosystem writ large, and we're thrilled to continue our support of the company,' said Kenneth Safar, Managing Director at Maverick Silicon.
The funding comes at a time when the AI infrastructure market is experiencing unprecedented growth, with recent industry reports projecting the AI infrastructure market to exceed $400 billion by 2027. TensorWave's focus on technology-powered solutions and continued partnerships with firms like TECFusions positions the company to capture a significant portion of this expanding market.
For additional information please visit: https://tensorwave.com.
Hashtags
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Yahoo
3 hours ago
- Yahoo
3 Best Tech Stocks for the Second Half of 2025
Reddit's revenue stands at an incredible year-over-year growth rate of 61%. AMD's AI product improvements could inspire a new round of investor interest. Meta Platforms' decision to advertise on WhatsApp unlocks a new revenue stream. 10 stocks we like better than Meta Platforms › We're nearly halfway through 2025, and what a ride it's been for the stock market. As of this writing, the S&P 500, Nasdaq Composite, and Dow Jones Industrial Index are up 2%, up 1%, and down 1%, respectively, year to date. So, as attention turns to the second half of 2025, three contributing analysts have selected their top buys within the technology sector: Reddit (NYSE: RDDT), Advanced Micro Devices (NASDAQ: AMD), and Meta Platforms (NASDAQ: META). Here's why. (Reddit): 2025 has been an up-and-down year for Reddit stock. As of this writing, it's down 13% year to date. However, the stock has been extremely volatile throughout the year. It's been up as much as 37% and down by almost 46%. So, obviously, Reddit isn't a stock for every investor or investment portfolio. That said, growth-oriented investors willing to hold for years might want to take the stock's recent volatility as an opportunity to accumulate shares. Reddit is a social media stock. It boasts more than 108 million daily average users and is growing fast. As of its most recent quarterly report (for the three months ended on March 31), the company's revenue growth stood at 61%. The company makes money through selling ad space, like its much larger social media rival, Meta Platforms. While Meta's ad ecosystem has existed for more than a decade and now draws in about a half-billion dollars per day, Reddit's ad ecosystem remains in its infancy. This creates a possibility for investors. Meta has already proven that the social media advertising model works -- and works very well. Meta has ridden that model to a staggering market capitalization of $1.7 trillion. Reddit, on the other hand, has a market cap of only $26 billion. In a move that mirrors Meta, Reddit recently announced plans to integrate artificial intelligence (AI)-powered ad tools into its network. This strategy could help marketers increase return on investment (ROI) by improving ad targeting and content. With its large, increasing user base and blistering revenue growth, there's every reason to think Reddit's long-term prospects remain bright -- and its stock price will rise. Will Healy (Advanced Micro Devices): On the surface, Advanced Micro Devices might look more like a second-quarter than a second-half stock. Since reaching an intra-day low of $76.48 per share on April 8, the stock has risen by approximately 65% over the last six weeks. However, that increase could be just the beginning of what is gearing up to be a second-half comeback. On June 12, AMD released its development pipeline for its AI accelerators through 2027. Investor interest coalesced around its MI400 GPU, which it plans to release sometime in 2026. The MI400 should significantly improve upon the recently released MI350, offering double the compute power, 50% more memory capacity, and 2.5 times the bandwidth. Such advancements are on track to close most of its competitive gap with Nvidia, though Nvidia will almost certainly counter with its own improvements. Additionally, AMD will integrate the MI400 with its Helios rack system. This rack system will combine the MI400 with AMD's upcoming Venice CPU and Pensando Vulcano NICs, providing AMD with a unified AI rack-scale infrastructure for modeling and inference. This is occurring as AMD has begun to benefit from accelerating revenue growth. In the first quarter of 2025, its data center and client (PC) segments grew revenue by 57% and 68%, respectively, while revenue for the gaming and embedded segments declined at a slower rate. Thus, the overall annual revenue growth of 36% in Q1 is significantly faster than the 14% yearly increase in 2024. Moreover, while AMD trades at a higher P/E ratio than Nvidia, improving profitability places its forward P/E ratio at 32, slightly below that of its larger rival. Furthermore, AMD's 7.5 price-to-sales (P/S) ratio is far below Nvidia's sales multiple of 24, likely making the stock more attractive to value-oriented investors. Admittedly, AMD continues to play catch-up in the AI accelerator market. Nonetheless, with the chip company closing the gap, that low P/S ratio could easily persuade investors to bid AMD stock higher as they anticipate the MI400's release. Justin Pope (Meta Platforms): Oftentimes, winners keep winning. Shares of social media giant Meta Platforms have primarily moved in an upward direction since 2023, but I like the stock's chances to continue its run over the second half of this year. Most investors already know that Meta Platforms is a beast in digital advertising. It makes virtually all of its revenue and profits from advertising to the 3.43 billion people who use its family of apps each day. What investors may not realize is that for years, Facebook and Instagram have carried the company's advertising water. Meta generated approximately $160.6 billion of its $164.5 billion in total revenue last year from ads placed in Facebook, Messenger, Instagram, and third-party mobile apps. Missing from that list is WhatsApp, the wildly popular communications app with over 3 billion monthly active users. But that's changing. Meta recently announced that it will finally place ads in WhatsApp statuses and channel pages. That will open up an entirely new revenue stream for the company, which, given the massive ad revenue Facebook and Instagram produce, could drive significant growth as monetization ramps up over time. Analysts anticipate that Meta's earnings will grow at an average annual rate of 18% over the next three to five years. I wouldn't be surprised if WhatsApp's incremental ad revenue helps the company meet or exceed those estimates. Meta's price-to-earnings ratio has risen to 27, but, frankly, that's still reasonable for the growth you're likely to see over the coming years. Meta waited over a decade after acquiring WhatsApp to make this move, demonstrating just how well its CEO, Mark Zuckerberg, can play the long game. Investors would probably be wise to consider partnering with Meta as buy-and-hold investors at these prices. Before you buy stock in Meta Platforms, consider this: The Motley Fool Stock Advisor analyst team just identified what they believe are the for investors to buy now… and Meta Platforms wasn't one of them. The 10 stocks that made the cut could produce monster returns in the coming years. Consider when Netflix made this list on December 17, 2004... if you invested $1,000 at the time of our recommendation, you'd have $664,089!* Or when Nvidia made this list on April 15, 2005... if you invested $1,000 at the time of our recommendation, you'd have $881,731!* Now, it's worth noting Stock Advisor's total average return is 994% — a market-crushing outperformance compared to 172% for the S&P 500. Don't miss out on the latest top 10 list, available when you join . See the 10 stocks » *Stock Advisor returns as of June 9, 2025 Randi Zuckerberg, a former director of market development and spokeswoman for Facebook and sister to Meta Platforms CEO Mark Zuckerberg, is a member of The Motley Fool's board of directors. Jake Lerch has positions in Nvidia and Reddit and has the following options: long July 2025 $150 calls on Advanced Micro Devices. Justin Pope has no position in any of the stocks mentioned. Will Healy has positions in Advanced Micro Devices. The Motley Fool has positions in and recommends Advanced Micro Devices, Meta Platforms, and Nvidia. The Motley Fool has a disclosure policy. 3 Best Tech Stocks for the Second Half of 2025 was originally published by The Motley Fool
Yahoo
8 hours ago
- Yahoo
10 No-Brainer Artificial Intelligence (AI) Stocks to Buy Right Now
Nvidia, AMD, Broadcom, TSMC, and ASML are all strong plays on expanding AI infrastructure. Amazon, Alphabet, and Meta Platforms are three tech titans set to benefit from AI. Palantir and Salesforce are two leading software companies that have big AI opportunities ahead. These 10 stocks could mint the next wave of millionaires › Artificial intelligence (AI) is rapidly changing the world we live in, making it a must-invest sector. Let's look at 10 AI stocks to invest in right now. The king of AI, Nvidia's (NASDAQ: NVDA) graphic processing units (GPUs) have become the backbone of AI infrastructure due to their fast processing speeds. However, it's the company's CUDA software platform that has helped create a wide moat for the company. CUDA lets developers easily program its chips, while it's also built a collection of tools and libraries to optimize its GPUs to run AI tasks. In Q1, the company had a whopping 92% market share in the GPU space. As AI infrastructure continues to ramp up, Nvidia is well-positioned to continue benefiting. While a distant second to Nvidia in the GPU space, Advanced Micro Devices (NASDAQ: AMD) has become a leader in central processing units (CPUs), which act as the brains of the operation, within the data center. The company has also been able to carve out a niche for its GPUs with AI inference, which is less technically demanding than training AI models and where costs are a more important consideration. With inference eventually expected to become a much larger market than training, AMD has a big opportunity in front of it, even if it only takes some modest market share away from Nvidia. Broadcom (NASDAQ: AVGO) has been seeing strong momentum with its networking portfolio, which is becoming more valuable as AI clusters grow in size and require more high-throughput, low-latency interconnects. However, its biggest opportunity lies in custom AI chips, where the company is starting to help customers develop their own custom chips to handle specific AI workloads. After successfully helping Alphabet (NASDAQ: GOOGL) (NASDAQ: GOOG) develop its Tensor Processing Unit (TPU), it's been adding more custom chip customers. It sees its three furthest-along customers as having between a $60 billion to $90 billion serviceable market in fiscal 2027, and that doesn't even include new customers like Apple. This is a huge opportunity for Broadcom. While the above three companies design advanced AI chips, Taiwan Semiconductor Manufacturing (NYSE: TSM) is the one they hire to actually make them. As such, it benefits no matter who becomes the biggest AI chip winner. TSMC's scale and technological expertise have set it apart in the foundry space, as rivals have struggled. This has led the company to become an invaluable cog in the semiconductor supply chain. With growing manufacturing capacity and strong pricing power, TSMC is very well positioned to benefit from growing AI chip demand. While TSMC manufactures advanced chips, ASML (NASDAQ: ASML) is the company that makes the machines that make it possible to produce these chips. It has a virtual monopoly on extreme ultraviolet (EUV) lithography, which is the equipment used in advanced chip manufacturing. It also introduced its next-generation technology, high-NA (numerical aperture) EUV, that will allow for higher density chips. While TSMC has balked at the high price ($400 million) of these new machines, it cannot afford to get bypassed on the technological front by a competitor like Intel. As such, ASML should be a long-term winner as foundries continue to increase capacity and start looking toward even more advanced nodes (smaller, more powerful chips). While best known for its e-commerce business, Amazon (NASDAQ: AMZN) is also the largest cloud computing company in the world. In fact, Amazon Web Services (AWS) is its largest segment by profitability and its fastest growing, as it benefits from helping customers build their own AI models and apps and run them on its cloud infrastructure. The company is investing heavily in new data center infrastructure to keep up with AI demand. In addition, Amazon is using AI throughout its e-commerce operations to make its business more efficient and reduce costs. This combination bodes well for Amazon being a long-term AI winner. Alphabet is also a cloud computing giant, where it is benefiting from many of the same trends as Amazon. As an added benefit, Google Cloud just hit an inflection point, with its profitability now beginning to soar. While there is some worry about the impact of AI on its core Google search business, the company is embracing the technology and doing what it does best: connecting consumers with merchants. Meanwhile, the advantages that Alphabet's strong distribution and entrenched ad network give it should not be underestimated. Meta Platforms (NASDAQ: META) has been at the forefront of AI with its Llama large language model (LLM). The company is using AI to both keep users more engaged on its social media apps, as well as help advertisers create better campaigns and more precisely target potential customers. This is leading to more ad inventory and higher ad prices, since its ads are becoming more effective. In addition, the company has just started serving ads on its popular WhatsApp messaging app, and it is building out a new social media site, Threads. This should provide the company with a solid runway of growth ahead. Instead of building out its own models, Palantir Technologies (NASDAQ: PLTR) has taken a different approach to AI, essentially looking to become the orchestration layer, or operating system, for the technology. It does this by gathering data from a wide array of sources and structuring it into an ontology that connects digital assets with their real-world counterparts. This then allows its customers to use its platform to solve complex, real-world problems through the use of AI. The platform can be used for numerous applications across industries, which means Palantir has a huge opportunity ahead. After bringing the software-as-service (SaaS) model to the mainstream, Salesforce (NYSE: CRM) is now looking to become the leader in agentic AI, where AI agents will go out and perform tasks with little to no human interaction. The company is looking to help create a digital workforce by tightly integrating its Agentforce platform, Data Cloud solution, apps, and metadata framework. Together, it believes this will allow agents to better understand customer intent and perform tasks more effectively. As a consumption-based solution, AI agents are a huge opportunity for the company. Ever feel like you missed the boat in buying the most successful stocks? Then you'll want to hear this. On rare occasions, our expert team of analysts issues a 'Double Down' stock recommendation for companies that they think are about to pop. If you're worried you've already missed your chance to invest, now is the best time to buy before it's too late. And the numbers speak for themselves: Nvidia: if you invested $1,000 when we doubled down in 2009, you'd have $373,066!* Apple: if you invested $1,000 when we doubled down in 2008, you'd have $38,158!* Netflix: if you invested $1,000 when we doubled down in 2004, you'd have $664,089!* Right now, we're issuing 'Double Down' alerts for three incredible companies, available when you join , and there may not be another chance like this anytime soon.*Stock Advisor returns as of June 9, 2025 John Mackey, former CEO of Whole Foods Market, an Amazon subsidiary, is a member of The Motley Fool's board of directors. Suzanne Frey, an executive at Alphabet, is a member of The Motley Fool's board of directors. Randi Zuckerberg, a former director of market development and spokeswoman for Facebook and sister to Meta Platforms CEO Mark Zuckerberg, is a member of The Motley Fool's board of directors. Geoffrey Seiler has positions in Alphabet and Salesforce. The Motley Fool has positions in and recommends ASML, Advanced Micro Devices, Alphabet, Amazon, Apple, Intel, Meta Platforms, Nvidia, Palantir Technologies, Salesforce, and Taiwan Semiconductor Manufacturing. The Motley Fool recommends Broadcom and recommends the following options: short August 2025 $24 calls on Intel. The Motley Fool has a disclosure policy. 10 No-Brainer Artificial Intelligence (AI) Stocks to Buy Right Now was originally published by The Motley Fool Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Yahoo
13 hours ago
- Yahoo
What Are the 5 Best Bargain Artificial Intelligence (AI) Stocks to Buy Right Now?
Looking for low PEG ratios can be one way to find stocks that are currently on sale. AMD, Broadcom, and Nvidia are all cheap chip stocks given their projected growth. Salesforce and Adobe are two SaaS companies riding the AI wave that have fallen into the bargain bin. 10 stocks we like better than Nvidia › In a fast-growing segment like artificial intelligence (AI), it's not always easy to spot bargains; however, they can be found. One of the best ways to find bargains in a hot sector is to look beyond stocks' price-to-earnings (P/E) ratios and instead look at their price/earnings-to-growth (PEG) ratios, as this metric takes into consideration their earnings growth. Stocks with PEGs under 1 are generally considered undervalued, and based on this metric, five of the best values in the AI space are Advanced Micro Devices (NASDAQ: AMD), Broadcom (NASDAQ: AVGO), Salesforce (NYSE: CRM), Nvidia (NASDAQ: NVDA), and Adobe (NASDAQ: ADBE). Let's look at why these bargain AI stocks could be great buys. With a forward PEG of only 0.2 based on its projected 2026 growth, AMD is one of the cheapest stocks in the AI space -- if it can live up to its growth expectations. The company has already been seeing solid growth, with its overall revenue climbing by 36% last quarter to $7.44 billion, while its data center segment revenue surged 57% to $3.7 billion. The growth is being led by the company's strong positioning within server central processing units (CPUs) and solid growth from its graphics processing units (GPUs). The former acts as the brain for computers, while the latter provides the processing power. While the market for CPUs is not nearly as robust as the one for GPUs in the data center space, it is still a nice, growing market, and AMD has been taking share. However, the company's biggest opportunity will come when the AI market shifts from training more toward inference, which is expected to eventually be the much larger market. Inference is less technically demanding than training AI models, and things such as latency, power consumption, and cost come much more into play. This should allow AMD to take some market share in the GPU space, which would fuel a lot of growth moving forward. Broadcom is another cheap chip stock with a big opportunity in front of it. The company is seeing solid growth, with revenue jumping 25% last quarter to $14.9 billion, led by a 70% surge in its networking revenue. However, it is its foray into custom AI chips that has the potential to really drive growth higher. The company has seen strong success with its first custom AI chip customer, Alphabet, which has led to it winning additional customers. It sees its three furthest-along custom AI chip customers being a $60 billion to $90 billion serviceable market opportunity in its fiscal year 2027 (ending October 2027). If it can capture much of this opportunity, then the stock has a lot of potential upside from here. Notably, that number does not include more recent custom chip customer wins, including Apple. With a PEG of around 0.4 based on fiscal 2026 earnings, Broadcom has some serious upside potential. The biggest risk for it, as well as AMD, would be a slowdown in AI infrastructure spending. Given their recurring revenue model, software-as-as-service (SaaS) stocks typically trade at premium valuations, but that is not currently the case with Salesforce. With a forward PEG of around 0.5, the stock is in the bargain bin. However, the company has strong data-center and AI opportunities ahead. It's been seeing strong momentum with its Data Cloud solution, which helps customers unify their data into a single source, while it is also looking to be an agentic AI leader with its Agentforce platform. Last quarter, its Data Cloud annual recurring revenue (ARR) soared 120% year over year to more than $1 billion, while its Agentforce platform reached ARR of $100 million after only being launched last fall. The company is looking to tightly integrate Data Cloud and Agentforce with its apps, such as Tableau and Slack, to help spark a new era of digital labor. Meanwhile, it recently introduced a new flexible Agentforce consumption-based pricing model more aligned with outcomes to increase customer satisfaction and drive adoption. While there is always a risk its strategy will not work, at its current valuation, there is not much downside if it doesn't and a lot of upside if it does. It's sometimes hard to believe investors can get the preeminent AI growth stock at a forward PEG of only 0.7 times. However, based on fiscal 2026 projections, that's Nvidia's current valuation. The company has grown its data center revenue ninefold over the past two years, and more growth is ahead. While competitors are trying to make inroads, Nvidia is still the dominant market share leader when it comes to AI chips. It had an incredible 92% market share in the GPU space in Q1. Nvidia's secret sauce remains its CUDA software platform, which it developed to help expand the use of its chips beyond their original purpose of speeding up graphics rendering in video games. It has since layered a collection of libraries and tools on top of CUDA that enhance the performance of its chips in AI tasks. Nvidia's newest chips remain in high demand, and the company is well positioned to continue to be one of the biggest beneficiaries of the current AI data center buildout. An AI infrastructure spending slowdown is a risk, but the stock is far from being priced for perfection, giving it solid upside potential from here. Adobe isn't a high-growth stock, but with a PEG of 0.8, it's fallen into the category of growth at a reasonable price (GARP). While AI isn't helping accelerate revenue growth, it has helped it settle in a nice, high-single-digit, low-double-digit range. The company is using AI to help drive results within its creative software solutions, as well as its products aimed more toward business professionals. At the heart of its strategy is its Firefly generative AI model. Using just natural language prompts, FireFly can help users generate images, video, audio, and vector content that they can further manipulate with Adobe's creative tools, such as Photoshop, all while ensuring intellectual property protection. Document Cloud and Express have also incorporated FireFly into their platform and can handle everything from summarizing documents in Document Cloud to text-to-video generation in Express. All in all, the stock is inexpensive, and it looks like AI should continue to help power Adobe's results moving forward. Before you buy stock in Nvidia, consider this: The Motley Fool Stock Advisor analyst team just identified what they believe are the for investors to buy now… and Nvidia wasn't one of them. The 10 stocks that made the cut could produce monster returns in the coming years. Consider when Netflix made this list on December 17, 2004... if you invested $1,000 at the time of our recommendation, you'd have $659,171!* Or when Nvidia made this list on April 15, 2005... if you invested $1,000 at the time of our recommendation, you'd have $891,722!* Now, it's worth noting Stock Advisor's total average return is 995% — a market-crushing outperformance compared to 172% for the S&P 500. Don't miss out on the latest top 10 list, available when you join . See the 10 stocks » *Stock Advisor returns as of June 9, 2025 Suzanne Frey, an executive at Alphabet, is a member of The Motley Fool's board of directors. Geoffrey Seiler has positions in Alphabet and Salesforce. The Motley Fool has positions in and recommends Adobe, Advanced Micro Devices, Alphabet, Apple, Nvidia, and Salesforce. The Motley Fool recommends Broadcom. The Motley Fool has a disclosure policy. What Are the 5 Best Bargain Artificial Intelligence (AI) Stocks to Buy Right Now? was originally published by The Motley Fool Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
