Latest news with #Kubernetes-native
Business Wire
5 days ago
- Business
- Business Wire
Build, Operate and Optimize AI and ML Infrastructure at Scale with Industry's First Reference Architecture to Support AI Workloads
CAMPBELL, Calif.--(BUSINESS WIRE)-- Mirantis, the Kubernetes-native AI infrastructure company enabling enterprises to build and operate scalable, secure, and sovereign AI infrastructure across any environment, today announced the industry's first comprehensive reference architecture for IT infrastructure to support AI workloads. The Mirantis AI Factory Reference Architecture, built on Mirantis k0rdent AI, provides a secure, composable, scalable, and sovereign platform for building, operating, and optimizing AI and ML infrastructure at scale. Share The Mirantis AI Factory Reference Architecture, built on Mirantis k0rdent AI, provides a secure, composable, scalable, and sovereign platform for building, operating, and optimizing AI and ML infrastructure at scale. It enables: AI workloads to be deployed within days of hardware installation using k0rdent AI's templated, declarative model for rapid provisioning; Faster prototyping, iteration, and deployment of models and services to dramatically shorten the AI development lifecycle; Curated integrations (via the k0rdent Catalog) for AI/ML tools, observability, CI/CD, security, and more, which leverage open standards. 'We've built and shared the reference architecture to help enterprises and service providers efficiently deploy and manage large-scale multi-tenant sovereign infrastructure solutions for AI and ML workloads,' said Shaun O'Meara, chief technology officer, Mirantis. 'This is in response to the significant increase in the need for specialized resources (GPU and CPU) to run AI models while providing a good user experience for developers and data scientists who don't want to learn infrastructure.' With the reference architecture, Mirantis addresses complex issues related to high-performance computing that include remote direct memory access (RDMA) networking, GPU allocation and slicing, sophisticated scheduling requirements, performance tuning, and Kubernetes scaling. The architecture can also integrate a choice of AI Platform Services, including Gcore Everywhere Inference and the NVIDIA AI Enterprise software ecosystem. Cloud native workloads, which are typically designed for scale-out and multi-core operations, are quite different from AI workloads, that can require turning many GPU-based servers into one single supercomputer with aggregated memory that requires RDMA and ultra-high performance networking. The reference architecture leverages Kubernetes and supports multiple AI workload types (training, fine-tuning, inference) across: dedicated or shared servers; virtualized environments (KubeVirt/OpenStack); public cloud or hybrid/multi-cloud; and edge locations. It addresses the novel challenges related to provisioning, configuration, and maintenance of AI infrastructure and supporting the unique needs of workloads, including high-performance storage, and ultra-high-speed networking (Ethernet, Infiniband, NVLink, NVSwitch, CXL) to keep up with AI data movement needs. They include: Fine-tuning and configuration, which typically take longer to implement and learn than traditional compute systems; Hard multi-tenancy for data security and isolation, resource allocation, and contention management; Data sovereignty of AI and ML workloads that are typically data-driven or contain unique intellectual property in their models, which makes it critical to control how and where this data is used; Compliance with regional and regulatory requirements; Managing scale and sprawl because the infrastructure used for AI and ML is typically comprised of a large number of compute systems that can be highly distributed for edge workloads; Resource sharing of GPUs and other vital compute resources that are scarce and expensive and thus must be shared effectively and/or leveraged wherever they are available; Skills availability because many AI and ML projects are run by data scientists or developers who are not specialists in IT infrastructure. The Mirantis AI Factory Reference Architecture is designed to be composable so that users can assemble infrastructure from reusable templates across compute, storage, GPU, and networking layers tailored to their specific AI workload needs. It includes support for NVIDIA, AMD, and Intel AI accelerators. Access the complete reference architecture document, along with more information. About Mirantis Mirantis is the Kubernetes-native AI infrastructure company, enabling organizations to build and operate scalable, secure, and sovereign infrastructure for modern AI, machine learning, and data-intensive applications. By combining open source innovation with deep expertise in Kubernetes orchestration, Mirantis empowers platform engineering teams to deliver composable, production-ready developer platforms across any environment - on-premises, in the cloud, at the edge, or in data centers. As enterprises navigate the growing complexity of AI-driven workloads, Mirantis delivers the automation, GPU orchestration, and policy-driven control needed to cost-effectively manage infrastructure with confidence and agility. Committed to open standards and freedom from lock-in, Mirantis ensures that customers retain full control of their infrastructure strategy. Mirantis serves many of the world's leading enterprises, including Adobe, Ericsson, Inmarsat, PayPal, and Societe Generale. Learn more at
Yahoo
10-06-2025
- Business
- Yahoo
Mirantis Adds to Leadership Team to Accelerate Revenue and Enhance Customer Engagement
Veteran executives Richard Borenstein and Jerry Ibrahim join Mirantis to strengthen partnerships and enhance technical sales execution CAMPBELL, Calif., June 10, 2025--(BUSINESS WIRE)--Mirantis, the Kubernetes-native AI infrastructure company enabling enterprises to build and operate scalable, secure, and sovereign AI infrastructure across any environment, today announced the appointments of two newly created roles – Richard Borenstein as senior vice president of business development and Jerry Ibrahim as chief technology officer, go-to-market (CTO, GTM). Borenstein will spearhead the company's growth strategy and evolution of its partner ecosystem, driving high-impact alliances and strategic expansion. Ibrahim will drive technical sales alignment and field engagement to ensure Mirantis delivers effective solutions that meet evolving market demands. "With expanding enterprise adoption of open source infrastructure, we're investing in leadership that can deepen partner collaboration and translate technical capability into business value," said Alex Freedland, CEO of Mirantis. "Richard and Jerry bring the kind of seasoned, results-oriented leadership that will help Mirantis accelerate growth at scale. Their experience building partnerships and driving technical alignment with customer goals is exactly what is needed to accelerate growth, improve engagement, and increase adoption of Mirantis' technologies." Borenstein brings decades of hands-on experience building and scaling high-impact strategic alliances and go-to-market initiatives with some of the world's leading technology companies. Most recently, as chief business development officer at RingCentral, he architected global partnerships that significantly expanded the company's brand presence and international reach. Ibrahim, a seasoned technology executive with more than 30 years of experience innovating and transforming large multi-national enterprises, will align technical strategy with customer priorities across Mirantis' go-to-market activities. He joins Mirantis after serving for the past year as an advisor to the company. Prior to that, Ibrahim was IT CTO at VMware, and has held executive roles at Tesla, Align Technology, and Juniper Networks. These new appointments support Mirantis' broader mission to help customers reduce cloud complexity and maintain control over their infrastructure. As demand grows for vendor-neutral solutions that can operate across clouds and at the edge, Mirantis is aligning its leadership to accelerate customer onboarding, expand service capabilities, and drive sustainable revenue growth. About Mirantis Mirantis is the Kubernetes-native AI infrastructure company, enabling organizations to build and operate scalable, secure, and sovereign infrastructure for modern AI, machine learning, and data-intensive applications. By combining open source innovation with deep expertise in Kubernetes orchestration, Mirantis empowers platform engineering teams to deliver composable, production-ready developer platforms across any environment – on-premises, in the cloud, at the edge, or in data centers. As enterprises navigate the growing complexity of AI-driven workloads, Mirantis delivers the automation, GPU orchestration, and policy-driven control needed to cost-effectively manage infrastructure with confidence and agility. Committed to open standards and freedom from lock-in, Mirantis ensures that customers retain full control of their infrastructure strategy. Mirantis serves many of the world's leading enterprises, including Adobe, Ericsson, Inmarsat, PayPal, and Societe Generale. Learn more at View source version on Contacts Joseph Eckert for Mirantisjeckert@ 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
Business Wire
10-06-2025
- Business
- Business Wire
Mirantis Adds to Leadership Team to Accelerate Revenue and Enhance Customer Engagement
CAMPBELL, Calif.--(BUSINESS WIRE)-- Mirantis, the Kubernetes-native AI infrastructure company enabling enterprises to build and operate scalable, secure, and sovereign AI infrastructure across any environment, today announced the appointments of two newly created roles – Richard Borenstein as senior vice president of business development and Jerry Ibrahim as chief technology officer, go-to-market (CTO, GTM). "With expanding enterprise adoption of open-source infrastructure, we're investing in leadership that can deepen partner collaboration and translate technical capability into business value," said Alex Freedland, CEO of Mirantis. Share Borenstein will spearhead the company's growth strategy and evolution of its partner ecosystem, driving high-impact alliances and strategic expansion. Ibrahim will drive technical sales alignment and field engagement to ensure Mirantis delivers effective solutions that meet evolving market demands. "With expanding enterprise adoption of open source infrastructure, we're investing in leadership that can deepen partner collaboration and translate technical capability into business value," said Alex Freedland, CEO of Mirantis. 'Richard and Jerry bring the kind of seasoned, results-oriented leadership that will help Mirantis accelerate growth at scale. Their experience building partnerships and driving technical alignment with customer goals is exactly what is needed to accelerate growth, improve engagement, and increase adoption of Mirantis' technologies." Borenstein brings decades of hands-on experience building and scaling high-impact strategic alliances and go-to-market initiatives with some of the world's leading technology companies. Most recently, as chief business development officer at RingCentral, he architected global partnerships that significantly expanded the company's brand presence and international reach. Ibrahim, a seasoned technology executive with more than 30 years of experience innovating and transforming large multi-national enterprises, will align technical strategy with customer priorities across Mirantis' go-to-market activities. He joins Mirantis after serving for the past year as an advisor to the company. Prior to that, Ibrahim was IT CTO at VMware, and has held executive roles at Tesla, Align Technology, and Juniper Networks. These new appointments support Mirantis' broader mission to help customers reduce cloud complexity and maintain control over their infrastructure. As demand grows for vendor-neutral solutions that can operate across clouds and at the edge, Mirantis is aligning its leadership to accelerate customer onboarding, expand service capabilities, and drive sustainable revenue growth. About Mirantis Mirantis is the Kubernetes-native AI infrastructure company, enabling organizations to build and operate scalable, secure, and sovereign infrastructure for modern AI, machine learning, and data-intensive applications. By combining open source innovation with deep expertise in Kubernetes orchestration, Mirantis empowers platform engineering teams to deliver composable, production-ready developer platforms across any environment – on-premises, in the cloud, at the edge, or in data centers. As enterprises navigate the growing complexity of AI-driven workloads, Mirantis delivers the automation, GPU orchestration, and policy-driven control needed to cost-effectively manage infrastructure with confidence and agility. Committed to open standards and freedom from lock-in, Mirantis ensures that customers retain full control of their infrastructure strategy. Mirantis serves many of the world's leading enterprises, including Adobe, Ericsson, Inmarsat, PayPal, and Societe Generale. Learn more at
Yahoo
09-06-2025
- Business
- Yahoo
CoreWeave, Inc. (CRWV): A Bull Case Theory
We came across a bullish thesis on CoreWeave, Inc. (CRWV) on Outperforming the Market's Substack by Simple Investing. In this article, we will summarize the bulls' thesis on CRWV. CoreWeave, Inc. (CRWV)'s share was trading at $ 135.05 as of 5th June. A scientist at a computer station, surrounded by a neural network of artificial intelligence code. CoreWeave's IPO has become one of the most closely watched in recent memory, offering a rare inside look into the infrastructure powering today's AI revolution. Originally founded as The Atlantic Crypto Corporation in 2017, the company pivoted from crypto mining to GPU-based cloud computing in 2022, just as demand for accelerated AI workloads began to explode. This well-timed shift has fueled explosive growth, with revenue soaring from $20 million in 2022 to $1.9 billion in 2024. CoreWeave now operates 32 data centers with over 250,000 Nvidia GPUs and more than 360 MW of active power, enabling it to serve top-tier clients such as OpenAI, Microsoft, Meta, Cohere, and Mistral. Its vertically integrated, Kubernetes-native platform is purpose-built for AI and delivers significantly higher performance, including up to 20% better Model FLOPS Utilization than legacy hyperscalers. Deeply tied to Nvidia—its largest partner and shareholder with a 5% stake—CoreWeave is often first to bring new GPU architectures like the H200 and GB200 NVL72 to market. While this relationship gives CoreWeave a competitive edge, it also presents concentration risks, as all current customer contracts mandate Nvidia hardware. Its business model centers on long-term, take-or-pay contracts averaging four years in duration, with 96% of 2024 revenue underpinned by these commitments. Customers prepay before CoreWeave installs capacity, derisking its growth. Now publicly listed, CoreWeave represents a compelling lens into the evolving AI infrastructure stack, combining purpose-built architecture, strategic alignment with Nvidia, and financial predictability, making it a cornerstone player in the AI economy. While CrowdStrike (CRWD) faces scrutiny over its elevated valuation and operational headwinds, CoreWeave (CRWV) offers a contrasting AI infrastructure bet rooted in explosive growth and Nvidia alignment. Both are central to the AI narrative—CRWD on the security front and CRWV on the compute backbone—but CoreWeave's take-or-pay contracts and visibility into future revenues provide a level of financial derisking not currently seen in CRWD's high-multiple, sentiment-sensitive profile. Previously, we covered a on CrowdStrike (CRWD) by Stock Whisperer on Substack in May 2025, pointing to bearish technicals, workforce reductions, and sentiment risk. While both highlight valuation concerns, Stock Whisperer adds near-term catalysts for caution, framing CRWD as vulnerable despite its long-term strength. Viewed together, CRWD and CRWV offer a study in contrasting AI exposure—mature cybersecurity versus hyper-growth infra. CoreWeave, Inc. (CRWV) is not on our list of the 30 Most Popular Stocks Among Hedge Funds. As per our database, 36 hedge fund portfolios held CRWV at the end of the first quarter which was 0 in the previous quarter. While we acknowledge the risk and potential of CRWV as an investment, our conviction lies in the belief that some AI stocks hold greater promise for delivering higher returns and have limited downside risk. If you are looking for an extremely cheap AI stock that is also a major beneficiary of Trump tariffs and onshoring, see our free report on the best short-term AI stock. READ NEXT: 8 Best Wide Moat Stocks to Buy Now and 30 Most Important AI Stocks According to BlackRock. Disclosure: None. This article was originally published at Insider Monkey. Sign in to access your portfolio
Yahoo
09-06-2025
- Business
- Yahoo
CoreWeave, Inc. (CRWV): A Bull Case Theory
We came across a bullish thesis on CoreWeave, Inc. (CRWV) on Outperforming the Market's Substack by Simple Investing. In this article, we will summarize the bulls' thesis on CRWV. CoreWeave, Inc. (CRWV)'s share was trading at $ 135.05 as of 5th June. A scientist at a computer station, surrounded by a neural network of artificial intelligence code. CoreWeave's IPO has become one of the most closely watched in recent memory, offering a rare inside look into the infrastructure powering today's AI revolution. Originally founded as The Atlantic Crypto Corporation in 2017, the company pivoted from crypto mining to GPU-based cloud computing in 2022, just as demand for accelerated AI workloads began to explode. This well-timed shift has fueled explosive growth, with revenue soaring from $20 million in 2022 to $1.9 billion in 2024. CoreWeave now operates 32 data centers with over 250,000 Nvidia GPUs and more than 360 MW of active power, enabling it to serve top-tier clients such as OpenAI, Microsoft, Meta, Cohere, and Mistral. Its vertically integrated, Kubernetes-native platform is purpose-built for AI and delivers significantly higher performance, including up to 20% better Model FLOPS Utilization than legacy hyperscalers. Deeply tied to Nvidia—its largest partner and shareholder with a 5% stake—CoreWeave is often first to bring new GPU architectures like the H200 and GB200 NVL72 to market. While this relationship gives CoreWeave a competitive edge, it also presents concentration risks, as all current customer contracts mandate Nvidia hardware. Its business model centers on long-term, take-or-pay contracts averaging four years in duration, with 96% of 2024 revenue underpinned by these commitments. Customers prepay before CoreWeave installs capacity, derisking its growth. Now publicly listed, CoreWeave represents a compelling lens into the evolving AI infrastructure stack, combining purpose-built architecture, strategic alignment with Nvidia, and financial predictability, making it a cornerstone player in the AI economy. While CrowdStrike (CRWD) faces scrutiny over its elevated valuation and operational headwinds, CoreWeave (CRWV) offers a contrasting AI infrastructure bet rooted in explosive growth and Nvidia alignment. Both are central to the AI narrative—CRWD on the security front and CRWV on the compute backbone—but CoreWeave's take-or-pay contracts and visibility into future revenues provide a level of financial derisking not currently seen in CRWD's high-multiple, sentiment-sensitive profile. Previously, we covered a on CrowdStrike (CRWD) by Stock Whisperer on Substack in May 2025, pointing to bearish technicals, workforce reductions, and sentiment risk. While both highlight valuation concerns, Stock Whisperer adds near-term catalysts for caution, framing CRWD as vulnerable despite its long-term strength. Viewed together, CRWD and CRWV offer a study in contrasting AI exposure—mature cybersecurity versus hyper-growth infra. CoreWeave, Inc. (CRWV) is not on our list of the 30 Most Popular Stocks Among Hedge Funds. As per our database, 36 hedge fund portfolios held CRWV at the end of the first quarter which was 0 in the previous quarter. While we acknowledge the risk and potential of CRWV as an investment, our conviction lies in the belief that some AI stocks hold greater promise for delivering higher returns and have limited downside risk. If you are looking for an extremely cheap AI stock that is also a major beneficiary of Trump tariffs and onshoring, see our free report on the best short-term AI stock. READ NEXT: 8 Best Wide Moat Stocks to Buy Now and 30 Most Important AI Stocks According to BlackRock. Disclosure: None. This article was originally published at Insider Monkey. Sign in to access your portfolio
