Nsight Systems - Get Started
…CUDA Hardware Trace is now default – Hardware-based tracing is now default when supported, and fallback to software for various conflicts or unsupported situations. Use --trace=cuda-sw to force to software…
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Building Autonomous Vehicles That Reason with NVIDIA Alpamayo | NVIDIA Technical Blog
…AlpaSim leverages a scalable, microservice-based architecture with modular APIs and pipeline parallelism, allowing efficient closed-loop simulation, flexible integration of user-defined policies, and high-throughput evaluation of end-to-end…
Job Statistics with NVIDIA Data Center GPU Manager and SLURM | NVIDIA Technical Blog
…To integrate DCGM with SLURM, a DCGM group is created to include all GPUs, and job statistics are enabled and recorded using the SLURM job ID as a unique identifier. The integration…
Using Accelerated Computing to Live-Steer Scientific Experiments at Massive Research Facilities | NVIDIA Technical Blog
…Using cuPyNumeric, programmers are able to utilize a single programming model that works both on traditional systems and utilizes the modern hardware features. Towards full workflow automation : Both facilities move beyond batch…
NVIDIA Ising Introduces AI-Powered Workflows to Build Fault-Tolerant Quantum Systems | NVIDIA Technical Blog
…The pre-trained models deliver top performance out of the box, and because everything is open, users can also specialize for their own hardware and noise characteristics while keeping proprietary QPU data…
Build AI-Ready Knowledge Systems Using 5 Essential Multimodal RAG Capabilities | NVIDIA Technical Blog
…Metadata, such as author, date, category, and security tags, has always been integral to enterprise data. In RAG pipelines, metadata filters can be leveraged to narrow the search space and align retrieved…
How to Accelerate Protein Structure Prediction at Proteome-Scale | NVIDIA Technical Blog
…Enabled proteome-scale, interaction-aware structure prediction by integrating STRING-derived interaction data, GPU-accelerated computation, and robust quality calibration, making high-confidence protein complex structures accessible through AFDB for downstream applications…
NVIDIA Platform Delivers Lowest Token Cost Enabled by Extreme Co-Design | NVIDIA Technical Blog
…Substantial performance improvements were realized through continuous co-optimization of hardware and open-source software, notably with advancements in NVIDIA TensorRT-LLM and Dynamo frameworks; techniques such as kernel fusion, optimized attention…
CUDA-X
…NVIDIA Video Codec SDK Hardware-accelerated video encode and decode on Windows and Linux. NVIDIA Optical Flow SDK Exposes the latest hardware capability of NVIDIA GPUs dedicated to computing the relative motion…
LLM Inference Benchmarking: How Much Does Your LLM Inference Cost? | NVIDIA Technical Blog
…By using the latency constraint and peak requests per second, developers can calculate the required number of model instances and servers, and then build a TCO calculator to estimate hardware and software…