openai, nvidia and apple Updates

OpenAI is forging a path toward greater control over its AI infrastructure through a significant multi-year partnership with Broadcom. This collaboration aims to develop and deploy 10 gigawatts of custom AI accelerators, with initial rollouts planned for late 2026. By co-developing these specialized chips and utilizing Broadcom's Ethernet networking systems, OpenAI seeks to reduce its reliance on providers like Nvidia and optimize hardware for its AI models. This move is part of a broader strategy to build its own AI ecosystem, akin to Apple's approach to its smartphone platform, and ensure greater flexibility and interoperability in AI data centers. OpenAI's efforts also include acquiring consumer hardware startup Humane, further solidifying its control over the AI experience. Meanwhile, the broader cloud computing market is experiencing a surge in AI investment, with major players like Microsoft, Google, AWS, and Meta boosting spending on GPUs, data centers, and custom AI chips. This trend is projected to drive cloud AI investment from $420 billion in 2025 to over $520 billion in 2026. Microsoft is also contributing to AI's evolution in cybersecurity with its new open-source tool, ExCyTIn-Bench, designed to evaluate AI performance in simulated cyberattack scenarios. In healthcare, Mayo Clinic is nurturing AI innovation through its Platform_Accelerate program, supporting startups developing AI-driven healthcare solutions. Harrison.ai has received FDA breakthrough designations for its AI imaging tools, highlighting AI's growing role in medical diagnostics. Google is integrating AI features into its Search and Discover platforms, while Meta is advancing open networking hardware for AI through contributions to the Open Compute Project. BlackRock CEO Larry Fink emphasizes the critical need for substantial investment in AI infrastructure, including power and cooling, for the U.S. to maintain global leadership.

Key Takeaways

  • OpenAI is partnering with Broadcom to develop and deploy 10 gigawatts of custom AI accelerators, with deployments starting in late 2026.
  • This collaboration aims to give OpenAI more control over its AI hardware and reduce reliance on companies like Nvidia.
  • Global cloud service providers are projected to increase AI investment from $420 billion in 2025 to over $520 billion in 2026, driven by demand for AI servers.
  • Microsoft has launched ExCyTIn-Bench, an open-source tool to evaluate AI performance in cybersecurity testing.
  • Meta is contributing to open hardware for AI through the Open Compute Project, focusing on disaggregated network platforms and Ethernet switches.
  • Mayo Clinic is supporting health tech startups using AI to develop and validate healthcare solutions through its Platform_Accelerate program.
  • Harrison.ai has received three FDA breakthrough device designations for its AI imaging tools for triage and prioritization.
  • Google is adding AI-powered features and collapsible ads to its Search and Discover platforms.
  • BlackRock CEO Larry Fink stresses the importance of massive AI infrastructure investment for U.S. global leadership.
  • OpenAI's strategy includes building its own AI ecosystem and acquiring consumer hardware startup Humane.

OpenAI builds AI ecosystem with Broadcom chip deals

OpenAI is creating its own AI ecosystem, similar to how Apple built its smartphone platform. The company is partnering with Broadcom to develop custom AI chips and infrastructure. This deal allows OpenAI to control its hardware and software from development to distribution. OpenAI CEO Sam Altman believes this approach will lead to more efficient and powerful AI models. The company is also investing in consumer hardware and has acquired the startup Humane. These moves aim to give OpenAI greater control over the AI experience.

OpenAI and Broadcom team up for major AI accelerator project

OpenAI and Broadcom have announced a multi-year partnership to create 10 gigawatts of custom AI accelerators. These specialized chips are designed to improve AI performance and will begin deployment in late 2026. The collaboration aims to meet the growing demand for AI computing power. Sam Altman, CEO of OpenAI, stated that this partnership is crucial for building the necessary AI infrastructure. Hock Tan, CEO of Broadcom, called it a pivotal moment for advancing artificial intelligence.

OpenAI partners with Broadcom for custom AI chips

OpenAI is collaborating with Broadcom to design and deploy custom AI chips, aiming for 10 gigawatts of power by 2026. This partnership allows OpenAI to reduce its reliance on companies like Nvidia and optimize hardware for its AI models. The deal involves co-developing and deploying racks of these chips, with initial rollouts expected in late 2026. This move is part of OpenAI's broader strategy to secure computing resources and control its technological ecosystem. The company has also recently made deals with AMD and Nvidia.

OpenAI and Broadcom alliance focuses on open AI infrastructure

OpenAI and Broadcom are partnering to develop and deploy custom AI processors and Ethernet-based networking systems, starting in 2026. This collaboration aims to create 10 gigawatts of AI accelerators and signals a move towards more open and scalable AI infrastructure. By using Broadcom's Ethernet fabric instead of Nvidia's InfiniBand, OpenAI seeks greater flexibility and interoperability. This approach could influence how future AI data centers are built and scaled, potentially challenging Nvidia's dominance in high-performance AI workloads.

OpenAI and Broadcom join forces for AI accelerator deployment

OpenAI and Broadcom have agreed to a multi-year collaboration to design and deploy 10 gigawatts of custom AI accelerators. This partnership combines OpenAI's chip design expertise with Broadcom's networking technology to build large-scale AI infrastructure. Deployments are set to begin in the second half of 2026 and conclude by the end of 2029. This initiative aims to meet global demand for advanced AI computation and strengthen Broadcom's role in AI networking, while giving OpenAI more control over its technology.

Microsoft launches new AI tool for cybersecurity testing

Microsoft has released ExCyTIn-Bench, an open-source tool to evaluate AI performance in cybersecurity investigations. This tool simulates realistic cyberattack scenarios within a simulated security operations center. It helps leaders assess how AI language models handle complex threats and data. Unlike older benchmarks, ExCyTIn-Bench tests AI's ability to investigate, adapt, and explain findings in real-world situations. Microsoft uses this tool internally and collaborates with other security product providers to improve AI security features.

Cybersecurity training evolves with AI and CTEM

The cybersecurity landscape is rapidly changing due to AI-powered threats, making traditional training methods insufficient. A new approach called Continuous Threat Exposure Management (CTEM) is proposed, focusing on daily, threat-informed practice rather than occasional simulations. CTEM involves atomic, context-aware exercises that test specific techniques relevant to an organization's threat landscape. Real-time breach simulations and detailed analytics are crucial for identifying weaknesses and improving defensive strategies. This shift aims to build resilient, cross-functional teams prepared for the evolving threat environment.

Cloud AI investment surges, reshaping provider strategies

Global cloud service providers are significantly increasing investments in AI, driven by the growing demand for AI servers. Companies like Google, AWS, Meta, and Microsoft are boosting spending on NVIDIA GPUs, data centers, and custom AI chips. This trend is projected to increase from $420 billion in 2025 to over $520 billion in 2026. Cloud providers are focusing on securing GPU capacity and developing their own AI chips to optimize performance and reduce reliance on external vendors, transforming the cloud computing market.

Cloud AI investment surge reshapes provider strategies

Global cloud service providers are significantly increasing investments in AI, driven by the growing demand for AI servers. Key players like Google, AWS, Meta, and Microsoft are boosting spending on NVIDIA GPUs, data centers, and custom AI chips. This investment is expected to grow from $420 billion in 2025 to over $520 billion in 2026. Companies are innovating with rack-scale solutions and custom AI chips, leading to transformative growth and increased competitiveness in the AI cloud computing market.

Mayo Clinic selects new AI health tech startups

Mayo Clinic Platform_Accelerate has announced its latest group of 11 health tech startups for its 30-week program. These companies will use AI to develop and validate healthcare solutions. Participants gain access to mentors, technology, and millions of de-identified clinical records. The program connects startups with Mayo Clinic physicians and scientists to create real-world healthcare solutions. The selected startups are working on diverse areas like cancer detection, personalized treatment, and mental health.

Meta advances open networking hardware for AI

Meta is contributing new disaggregated network platforms to the Open Compute Project (OCP) to advance open hardware for AI. They are evolving their Scheduled Fabrics (DSF) to support larger AI clusters and introducing a new Non-Scheduled Fabric (NSF) architecture using Ethernet switches. Meta is also adding the Minipack3N switch, based on NVIDIA's Spectrum-4 ASIC, to its portfolio. These efforts aim to create more flexible, scalable, and efficient AI infrastructure by opening up designs for racks, servers, and other components.

Lone Mountain Travel uses Moove AI for bookings

Lone Mountain Travel is partnering with Moove to use its AI-powered platform for organizing flights. This collaboration will benefit Big Sky resorts and ranches. Moove's artificial intelligence tool aims to streamline the booking process for travel arrangements.

Harrison.ai receives FDA breakthrough designations for AI imaging tools

Imaging artificial intelligence firm Harrison.ai has received three breakthrough device designations from the U.S. Food and Drug Administration (FDA). These designations are for its Comprehensive Care triage and prioritization solution for obstructive hydrocephalus. This AI product is among the few FDA breakthrough devices to also receive 510(k) marketing authorization and eligibility for Medicare's New Technology Add-on Payment. Harrison.ai's technologies support over 1,000 customer sites globally.

Google Search and Discover get AI features and collapsible ads

Google is updating its Search and Discover pages with new AI-powered features and the ability to collapse ads. Users can now hide sponsored results on Google Search, though the ads remain accessible. The updates also include a 'What's New' button for sports searches and AI-driven trending topic previews in the Discover feed. These changes aim to improve navigation and keep users informed about trending topics across various publishers.

BigBear.ai provides AI solutions for national security

BigBear.ai (BBAI) is a provider of AI-powered decision intelligence solutions, primarily for government and national security. Their technology analyzes complex data using predictive analytics and machine learning. Key applications include biometric airport control for streamlined travel, edge AI orchestration for remote decision-making, and a platform called 'Orient' for data organization and trend prediction. BBAI partners with companies like Palantir to extend its forecasting capabilities.

BlackRock CEO: AI investment vital for US global leadership

BlackRock CEO Larry Fink stated that massive investments in artificial intelligence are crucial for the United States to maintain its global leadership. He emphasized that AI requires significant investment not just in chips but also in infrastructure like power grids and cooling systems. Fink believes this build-out is necessary to achieve a sustained 3% annual economic growth rate and manage national deficits. He highlighted companies like Meta, Alphabet, Microsoft, Oracle, and Broadcom as key players in this AI infrastructure development.

Sources

NOTE:

This news brief was generated using AI technology (including, but not limited to, Google Gemini API, Llama, Grok, and Mistral) from aggregated news articles, with minimal to no human editing/review. It is provided for informational purposes only and may contain inaccuracies or biases. This is not financial, investment, or professional advice. If you have any questions or concerns, please verify all information with the linked original articles in the Sources section below.

AI infrastructure AI accelerators Custom AI chips OpenAI Broadcom Partnerships AI ecosystem Cloud computing AI investment Data centers NVIDIA GPUs Cybersecurity AI in healthcare AI imaging FDA breakthrough designations Google Search AI features Decision intelligence National security AI for business AI networking Open networking hardware Meta AI performance AI models AI development AI solutions AI technology AI applications AI strategy AI market

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