…Agentic AI and reinforcement learning at scale The NVIDIA Vera CPU rack integrates up to 256 NVIDIA Vera CPUs in a dense, liquid-cooled rack to provide scalable, energy-efficient capacity. A…
…Silent failures or performance regressions are introduced by mismatches between libraries, drivers, and hardware Each category requires specific tools and techniques. A mature ecosystem of solutions exists, and applying them systematically can…
…Instead of relying on dynamic hardware schedulers at runtime, the compiler relies on plesiosynchronous, chip-to-chip protocol in hardware that cancels natural clock drift and aligns hundreds of LPU accelerators to…
…Developers can use various runtimes on a GPU or fall back to a CPU depending on available hardware for seamless integration of neural network features in real-time graphics workflows. This blog…
…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…
…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…
…frameworks such as SGLang , NVIDIA TensorRT-LLM , and vLLM to utilize kernels optimized for NVIDIA hardware. Build with NVIDIA endpoints Developers can use GPU-accelerated endpoints available through build.nvidia.com for…
…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…
…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…
…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…