…facilities, and plan future expansions around GPU capacity instead of storage overhead. To learn more about NVIDIA BlueField-4-powered CMX, see the press release and the solution overview . Watch NVIDIA GTC…
…NIXL Low-latency inference transfer library, moving KV cache and tensors between GPUs, memory tiers, and storage. Partner Libraries OpenCV GPU-accelerated open-source library for computer vision, image processing, and machine…
…Open datasets and QCalEval benchmark NVIDIA Ising Calibration 1 is built on real QPU data provided by partners and collaborators. A semantic quantum calibration benchmark has also been released to evaluate model…
…Native Kubernetes and GPU operator integration : Manage this stack using standard Kubernetes primitives and the NVIDIA GPU Operator, for a “lift-and-shift” deployment without rewriting the deployment manifests or the AI…
…13 releases, 400+ commits, and external contributions from engineers across NVIDIA partner companies. Key additions include GPU reset, Kubernetes object monitor, event exporter, preflight checks, Slinky drain support, and GB200/GB300 support…
…Users can also define a guaranteed minimum (Request) with a burstable upper bound (Limit), allowing workloads to consume additional GPU capacity when available and release it automatically when demand shifts. Intelligent workload…
…CUDA 13.1 or higher GPU architecture : NVIDIA Blackwell GPUs (for example, GeForce RTX 5080 ); previous GPU architectures will be enabled in upcoming CUDA releases Build from source When prerequisites are satisfied…
…on a single GPU or on across multiple CPUs and GPUs. Run and scale the pipeline on a single GPU : The FusedStage class is formed by “adding” two or more dynamics objects…
…Group jobs by total residue length Monitor GPU memory fragmentation Use asynchronous I/O to avoid disk bottlenecks 4. Making quality predictions accessible to the world In partnership with EMBL-EBI, the…
…In addition, TensorRT Model Optimizer can fit Llama 3.1 405B on only two GPUs using INT4 AWQ quantization. These TensorRT Model Optimizer improvements will be available in the next release, v0…