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With AI introducing an unprecedented pace of technological innovation, staying ahead means keeping your skills up to date. The NVIDIA Developer Program gives…

With AI introducing an unprecedented pace of technological innovation, staying ahead means keeping your skills up to date. The NVIDIA Developer Program gives you the tools, training, and resources you need to succeed with the latest advancements across industries. We’re excited to announce the following five new technical courses from NVIDIA, free to new members. Join now to get hands-on…

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NVIDIA today announced Nemotron-4 340B, a family of open models that developers can use to generate synthetic data for training large language models (LLMs) for commercial applications across healthcare, finance, manufacturing, retail and every other industry. High-quality training data plays a critical role in the performance, accuracy and quality of responses from a custom LLM
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NVIDIA DOCA GPUNetIO is a library within the NVIDIA DOCA SDK, specifically designed for real-time inline GPU packet processing. It combines technologies like…

NVIDIA DOCA GPUNetIO is a library within the NVIDIA DOCA SDK, specifically designed for real-time inline GPU packet processing. It combines technologies like GPUDirect RDMA and GPUDirect Async to enable the creation of GPU-centric applications where a CUDA kernel can directly communicate with the network interface card (NIC) for sending and receiving packets, bypassing the CPU and excluding it…

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NVIDIA Omniverse is a platform that enables you to build applications for complex 3D and industrial digitalization workflows based on Universal Scene…

NVIDIA Omniverse is a platform that enables you to build applications for complex 3D and industrial digitalization workflows based on Universal Scene Description (OpenUSD). The platform’s modular architecture breaks down into core technologies and services, which you can directly integrate into tools and applications, customizing as needed. This approach simplifies integration…

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Set sail for adventure, pirates. Sea of Thieves makes waves in the cloud this week. It’s an adventure-filled GFN Thursday with four new games joining the GeForce NOW library. Plus, members are sharing their favorite locations they can access from the cloud. Follow along all month on @NVIDIAGFN social media accounts and post your own
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SANTA CLARA, Calif., June 12, 2024 — NVIDIA today announced it will hold its 2024 Annual Meeting of Stockholders online on Thursday, June 26, at 9 a.m. PT. The meeting will …

The latest release of NVIDIA cuBLAS library, version 12.5, continues to deliver functionality and performance to deep learning (DL) and high-performance…

The latest release of NVIDIA cuBLAS library, version 12.5, continues to deliver functionality and performance to deep learning (DL) and high-performance computing (HPC) workloads. This post provides an overview of the following updates on cuBLAS matrix multiplications (matmuls) since version 12.0, and a walkthrough: Grouped GEMM APIs can be viewed as a generalization of the batched…

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Accelerated computing is transforming data processing and analytics for enterprises, declared NVIDIA founder and CEO Jensen Huang Wednesday during an on-stage chat with Databricks cofounder and CEO Ali Ghodsi at the Databricks Data + AI Summit 2024. “Every company’s business data is their gold mine,” Huang said, explaining that every company has enormous amounts of
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AI is transforming every industry, addressing grand human scientific challenges such as precision drug discovery and the development of autonomous vehicles, as…

AI is transforming every industry, addressing grand human scientific challenges such as precision drug discovery and the development of autonomous vehicles, as well as solving commercial problems such as automating the creation of e-commerce product descriptions and extracting insights from legal contracts. Today, every enterprise is exploring the potential of large language models (LLMs) to…

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The full-stack NVIDIA accelerated computing platform has once again demonstrated exceptional performance in the latest MLPerf Training v4.0 benchmarks. NVIDIA more than tripled the performance on the large language model (LLM) benchmark, based on GPT-3 175B, compared to the record-setting NVIDIA submission made last year. Using an AI supercomputer featuring 11,616 NVIDIA H100 Tensor Core
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