…The newest generation improves both efficiency and accuracy, making these general-purpose models well-suitable for a wide range of common tasks: Reasoning: Strong performance on complex problem-solving tasks. Coding: Code…
…vLLM has already adopted MTP, but is receiving additional optimizations that improve inference performance by 2.6x. These include better BF16 kernel selection for MoE models and reduced runtime overhead through improvements…
…point your agent at NVIDIA-verified skills built into Claude Code, Codex, and Hermes Skills Hub with the full catalog published on skills.sh for use across Cursor, Gemini CLI, GitHub Copilot…
…integration makes NVSHMEM accessible to high-level frameworks without requiring code changes Performance benefits scale with sequence length, with dramatic improvements for sequences ≥ 256K tokens Multinode deployments see the largest gains, making…
…Debug shader code with the Vulkan Shader Debugger, which exposes shader source in your render pipeline in real-time so you can quickly make fixes directly to the code. Profile Ray-Tracing…
…Other bug fixes and stability improvements Get Started With NVIDIA SDK Manager The SDK Manager empowers developers to work seamlessly across platforms—whether you're coding on Linux, Docker, or Windows. Linux…
…creation of comprehensive AI model documentation in Model Card++ format, improving transparency and regulatory compliance by extracting information directly from source code and associated files. The MCG pipeline operates in three stagesIngestion…
…Some Julia language features (notably iterator-based ‘for’ loops) aren’t supported in kernels or generate inefficient code The integration with CUDA.jl needs to improve to facilitate coexistence with SIMT kernels…
…Evaluation demonstrates significant accuracy gains (from ~20% to ~60%) for incident summary prediction and root-cause resolution, with ongoing robustness improvements via tool-calling benchmarks, LLM-as-a-judge safety checks, controlled…
…Host-side code Now let’s look at the host-side code that launches the kernel: import torch from math import ceil def tile_fmha(q, k, v, sm_scale=None, is…