NVIDIA DirectX
…AI Inference APIs DirectX Linear Algebra DirectX Linear Algebra accelerates tiny neural networks within shaders with Tensor Cores. This enables AI representations of textures and materials with higher visual fidelity and lower…
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Scaling Token Factory Revenue and AI Efficiency by Maximizing Performance per Watt | NVIDIA Technical Blog
…Recent SemiAnalysis InferenceX data shows that NVIDIA software optimizations and NVIDIA Blackwell Ultra GB300 NVL72 systems deliver up to 50x higher throughput per megawatt and 35x lower token cost than Hopper for…
Accelerate Clean, Modular, Nuclear Reactor Design with AI Physics | NVIDIA Technical Blog
…graph neural networks to diffusion and transformer-based models—that are designed to capture complex, continuous physical phenomena using state-of-the-art architectures. By integrating these architectures with optimized data pipelines…
SDK Manager
…Flexible Interface for Optimized Workflows Choose the interface that best suits your development style. SDK Manager offers an intuitive Graphical User Interface (GUI) for straightforward setup and a powerful Command-Line Interface…
Running AI Workloads on Rack-Scale Supercomputers: From Hardware to Topology-Aware Scheduling | NVIDIA Technical Blog
…Automatic topology detection with Topograph All of these approaches rely on accurate knowledge of the underlying hardware and network topology. For platform engineers, manually defining NVLink domains, rack boundaries, or network hierarchies…
Validate Kubernetes for GPU Infrastructure with Layered, Reproducible Recipes | NVIDIA Technical Blog
…It publishes optimized, validated, and reproducible Kubernetes configurations as recipes you can deploy onto your clusters. How AI Cluster Runtime works To support GPU clusters across cloud and on-premises AI factories…
Run Autonomous, Self-Evolving Agents More Safely with NVIDIA OpenShell | NVIDIA Technical Blog
…The NVIDIA Agent Toolkit, meanwhile, provides the full deployment stack —models, tools, evaluation, and runtimes—for building, testing, and optimizing long-running agents that can plan tasks; work across applications and enterprise…
NVIDIA Ising Introduces AI-Powered Workflows to Build Fault-Tolerant Quantum Systems | NVIDIA Technical Blog
…In this post, we dive into how NVIDIA Ising delivers starting points for users to select base models, train their own, fine-tune, quantize, and deploy optimized inference workflows wherever needed, improving…
CUDA Python
…This repository provides the latest Numba releases, detailed documentation, and a variety of examples to help you get started with GPU-accelerated computing and optimize your applications for high performance. Starter Kits…
Run Key Genomics and Protein Folding Workloads Faster with NVIDIA RTX PRO 4500 Blackwell | NVIDIA Technical Blog
…DeepVariant is Google’s deep-learning based variant caller for germline variants (i.e., inherited diseases). Parabricks achieves significant speedups across GPU architectures and is continuously optimized for ongoing acceleration. For sequence…