…Vijay’s career interests span the full-stack of AI, from frontier models to the platform and infrastructure stack. Prior to NVIDIA, Vijay was a Principal, Generative AI at Amazon Web Services…
…Maksim Khadkevich is a Senior Software Engineering Manager at NVIDIA, specializing in distributed inference systems and large language models. His work bridges cutting-edge AI research and scalable engineering, with a focus…
…Introduces Jetson agent skills helping build, configure, optimize and measure performance of the BSP and OSS AI models. Enables Multi-Instance GPU (MIG) on Jetson Thor T5000 as a technology preview feature…
…Relish in the opportunity to port your modern AI or scientific computing code base to a historically pivotal language while retaining the ability to run on the most powerful hardware available! Just…
…over previous GPU models for tools such as Minimap2, fq2bam, and DeepVariant, enabling faster and more accurate clinical decision-making in settings like oncology and NICUs. Advanced AI-driven methods like Openfold3…
…Developers can use NVIDIA AI Blueprints to build multimodal RAG pipelines. The RAG Blueprint is built on NVIDIA NeMo Retriever models for continuously indexing multimodal documents for fast and accurate semantic search…
…CUDA Tile C++ requires GPUs with compute capability 8.x or newer, NVIDIA Driver R580 or later, and CUDA Toolkit 13.3 or newer to utilize the tile programming model fully. AI…
…compute scale of X-ray science, enabling the preparation of massive datasets for AI training of material characterization models. Major technical impacts include computation speedup, system scaling, and I/O throughout optimizations…
…more revenue opportunity for trillion-parameter models relative to Blackwell. To learn more, see Inside NVIDIA Groq 3 LPX . NVIDIA Vera CPU rack: Agentic AI and reinforcement learning at scale The NVIDIA…
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