AI Infrastructure for Autonomous Vehicles
…Before getting started, make sure you have the latest NVIDIA products (e.g. DGX) and the corresponding drivers for your NVIDIA GPU(s). Step 1: Data Preprocessing and Extract, Transform, and Load…
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NVIDIA Streamline SDK 2.4
…Is DLSS Frame Generation compatible with HDR? A: Yes, DLSS Frame Generation is compatible with HDR. However, DLSS Frame Generation currently does not support FP16 pixel format and scRGB color space. Q…
Building NVIDIA Nemotron 3 Agents for Reasoning, Multimodal RAG, Voice, and Safety | NVIDIA Technical Blog
…She has previously worked for Meta and Adobe, focusing on product strategy, product development, and go-to-market strategy. Moon holds an MBA degree from Duke University’s Fuqua School of Business…
Advancing GPU Programming with the CUDA Tile IR Backend for OpenAI Triton | NVIDIA Technical Blog
…A simple environment variable configuration switches the compilation pipeline from PTX backend to the CUDA Tile IR backend, unlocking improved performance and future-proof architecture compatibility. Triton users will be able to…
NVIDIA Vera CPU Delivers High Performance, Bandwidth, and Efficiency for AI Factories | NVIDIA Technical Blog
…More than ever, compute must scale efficiently to maximize token production and improve productivity for model creators and users. Modern GPUs operate at peak capacity, pushing throughput higher every generation, but system…
Add a Specialized Deep Research Skill to Agent Harnesses | NVIDIA Technical Blog
…To ensure compatibility with Claude, manually link the AI-Q skill to a workspace using these two commands: mkdir -p .claude/skills ln -s ../../.agents/skills/aiq-research .claude/skills/aiq-research…
Build with Kimi K2.5 Multimodal VLM Using NVIDIA GPU-Accelerated Endpoints | NVIDIA Technical Blog
…NVIDIA NIM microservices , containers for production inference, are coming soon. You can also use the NVIDIA-hosted model through the API , free with registration in the NVIDIA Developer Program. import requests invoke…
Using Accelerated Computing to Live-Steer Scientific Experiments at Massive Research Facilities | NVIDIA Technical Blog
…Developing accelerated mathematical kernels and functions which are widely compatible with the Python ecosystem when existing solutions do not already exist. CuPy offers GPU-compatible NumPy and SciPy interfaces to enable parallelism…
Evaluate Clinical ASR Models Faster with Agent Skills and NVIDIA Nemotron Speech | NVIDIA Technical Blog
…The final output is a NeMo-compatible JSONL manifest. Each line links an audio file to its transcript and metadata: { "audio_filepath": "data/audio/audio_Acetaminophen_3c7a1f02.wav", "text": "The nurse administered…
Running Large-Scale GPU Workloads on Kubernetes with Slurm | NVIDIA Technical Blog
…Finally, we share lessons from running Slinky in production at NVIDIA on clusters with over 1,000 GPU worker nodes and 8,000+ GPUs. How does Slinky slurm-operator work? Slinky slurm…