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Home/Models & Labs
Models & Labs

NVIDIA Launches Vera CPU for Agentic AI

NVIDIA Blog·May 18, 2026·high confidence

Why it matters

  • →Vera is designed specifically for agentic AI, addressing unique computational needs.
  • →It enhances AI infrastructure efficiency with custom cores and high memory bandwidth.
  • →NVIDIA's launch positions it as a leader in the next phase of AI hardware development.
NVIDIA Launches Vera CPU for Agentic AI
©NVIDIA Blog

NVIDIA has introduced its first custom CPU, Vera, aimed at supporting agentic AI workloads. The Vera CPU, featuring 88 custom Olympus cores, is designed to handle the complex demands of AI agents, which extend beyond traditional GPU capabilities. Initial deliveries have been made to top AI labs including Anthropic, OpenAI, and SpaceXAI. This development marks a significant advancement in AI infrastructure, as Vera is built to enhance the efficiency and speed of AI operations. NVIDIA's move underscores its commitment to leading the next phase of AI computing with specialized hardware.

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More from NVIDIA Blog

NVIDIA Wins COMPUTEX 2026 Best Choice Awards© NVIDIA Blog
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NVIDIA Wins COMPUTEX 2026 Best Choice Awards

NVIDIA has made a significant impact at COMPUTEX 2026, securing multiple Best Choice Awards for its innovations in AI and autonomous technology. The Vera Rubin NVL72 supercomputer stood out with its impressive scalability and energy efficiency, winning both a Golden Award and the Sustainable Tech Special Award. Meanwhile, the Jetson Thor platform and Alpamayo open platform were recognized for their advancements in edge AI and autonomous vehicle development, respectively. These awards highlight NVIDIA's continued leadership in pushing the boundaries of AI infrastructure and application, setting new standards for performance and sustainability.

NVIDIA Blog·May 21, 2026

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llama.cpp b9297 release enhances tensor support

The b9297 release of llama.cpp brings a notable enhancement with the introduction of NVFP4 MTP scale tensors, boosting its tensor processing capabilities. This update also integrates Qwen3.5 MTP tensors, which improves performance across a spectrum of hardware configurations, including Apple Silicon, Vulkan, and ROCm on Ubuntu, as well as CUDA on Windows. The release supports a wide array of architectures, from macOS to Linux and Windows, ensuring compatibility with both CPU and GPU setups. While there are no new model architectures, the inclusion of KleidiAI on Apple Silicon and ROCm 7.2 on Ubuntu highlights llama.cpp's commitment to optimizing for diverse environments. This update reinforces llama.cpp's role as a flexible inference runtime, catering to a broad range of hardware setups.

llama.cpp Releases·May 25, 2026
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llama.cpp b9309 release fixes integer overflows

The b9309 release of llama.cpp tackles significant integer overflow issues in its perplexity calculations, co-authored by Stanisław Szymczyk. This update is vital for enhancing the accuracy and reliability of the model's performance metrics, which are crucial for developers. By resolving these overflows, the release ensures that users can depend on precise data outputs. This fix is a testament to the ongoing efforts to improve the tool's robustness, allowing developers to trust the integrity of their AI computations. While it might seem like a minor adjustment, it plays a critical role in maintaining the tool's reliability.

llama.cpp Releases·May 25, 2026
OpenAI Achieves Math Breakthrough© The AI Daily Brief
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OpenAI Achieves Math Breakthrough

OpenAI has made a significant advancement in mathematical capabilities within its AI models.

The AI Daily Brief·May 24, 2026