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The newest update to the CUDA Toolkit, version 13.0, features advancements to accelerate computing on the latest NVIDIA CPUs and GPUs. As a major release, it…

The newest update to the CUDA Toolkit, version 13.0, features advancements to accelerate computing on the latest NVIDIA CPUs and GPUs. As a major release, it lays the foundation for all future developments coming to the full CUDA 13.X software lineup. You can access these new features now. This post highlights some of the new features and enhancements included with this release…

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Virtualization has long promised efficiency and scalability. However, challenges persist due to the increasing demands of graphics and compute workloads, along…

Virtualization has long promised efficiency and scalability. However, challenges persist due to the increasing demands of graphics and compute workloads, along with the need to find cost-effective solutions to improve user density. The NVIDIA RTX PRO 6000 Blackwell Series offers the first NVIDIA Multi-Instance GPU (MIG)-enabled GPUs designed to accelerate both graphics and compute workloads.

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Two new open-weight AI reasoning models from OpenAI released today bring cutting-edge AI development directly into the hands of developers, enthusiasts, enterprises, startups and governments everywhere — across every industry and at every scale. NVIDIA’s collaboration with OpenAI on these open models — gpt-oss-120b and gpt-oss-20b — is a testament to the power of community-driven
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In collaboration with OpenAI, NVIDIA has optimized the company’s new open-source gpt-oss models for NVIDIA GPUs, delivering smart, fast inference from the cloud to the PC. These new reasoning models enable agentic AI applications such as web search, in-depth research and many more. With the launch of gpt-oss-20b and gpt-oss-120b, OpenAI has opened cutting-edge models
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NVIDIA and OpenAI began pushing the boundaries of AI with the launch of NVIDIA DGX back in 2016. The collaborative AI innovation continues with the OpenAI gpt-oss-20b and gpt-oss-120b launch. NVIDIA has optimized both new open-weight models for accelerated inference performance on NVIDIA Blackwell architecture, delivering up to 1.5 million tokens per second (TPS) on an NVIDIA GB200 NVL72 system.
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NVIDIA and OpenAI began pushing the boundaries of AI with the launch of NVIDIA DGX back in 2016. The collaborative AI innovation continues with the OpenAI…

NVIDIA and OpenAI began pushing the boundaries of AI with the launch of NVIDIA DGX back in 2016. The collaborative AI innovation continues with the OpenAI gpt-oss-20b and gpt-oss-120b launch. NVIDIA has optimized both new open-weight models for accelerated inference performance on NVIDIA Blackwell architecture, delivering up to 1.5 million tokens per second (TPS) on an NVIDIA GB200 NVL72 system.

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NVIDIA GPUs are at the heart of modern computing. They’re used across industries—from healthcare and finance to scientific research, autonomous systems, and AI infrastructure.  NVIDIA GPUs are embedded into CT scanners and MRI machines, DNA sequencers, air traffic RADAR tracking systems, city traffic management systems, self-driving cars, supercomputers, TV broadcasting systems to casino machines and
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Many CUDA kernels are bandwidth bound, and the increasing ratio of flops to bandwidth in new hardware results in more bandwidth bound kernels. This makes it…

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If you’ve used the NVIDIA CUDA Compiler (NVCC) for your NVIDIA GPU application recently, you may have encountered a warning message like the following: nvcc…

If you’ve used the NVIDIA CUDA Compiler (NVCC) for your NVIDIA GPU application recently, you may have encountered a warning message like the following: What does this mean exactly, and what actions should you take? In this post, we’ll explain how the NVIDIA CUDA Toolkit and NVIDIA Driver work together to support GPUs The software stack for programming GPUs is divided into two…

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