…descriptors, and pluggable backend plugins, and it is already integrated with major inference frameworks including NVIDIA Dynamo, NVIDIA TensorRT LLM, vLLM, and LMCache, with comprehensive benchmarking tools like NIXLBench and KVBench supporting…
…It includes tools for training, finetuning, retrieval-augmented generation, guardrailing, and toolkits, data curation tools, and pretrained models, offering enterprises an easy, cost-effective, and fast way to adopt generative AI . After…
…NVIDIA Earth-2 A comprehensive family of open models, libraries, and frameworks that democratize global access to professional-grade weather and climate AI. Quantum Computing Libraries Enabling simulation, HPC integration and AI…
…Every tray integrates eight LPU accelerators, a host processor, and fabric expansion logic in a cableless design that simplifies rack-scale deployment and tightly couples compute with communication. LPU chip-to-chip…
…They are straightforward to integrate with optimization or training workflows while remaining interoperable with frameworks like PyTorch, JAX, and NumPy for use cases spanning simulation, robotics, perception, and geometry processing. This post…
…To address this bottleneck, we developed multithreading support for HDF5 and integrated it with cuPyNumeric. This work is currently available in a public branch and is actively being prepared for merge into…
…Requirements Operating System Windows, Linux and Mac OS Development Environment C++ Compiler MDL SDK 2025.0.5 The MDL SDK API is a comprehensive C++ API for integration and customization tasks, which…
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