About this tag
GPU computing on WindowsForum.com covers the use of graphics processing units for accelerated computation beyond traditional graphics rendering. Recent discussions focus on NVIDIA's Dynamo 1.0, an open source inference stack designed to boost data center throughput by increasing requests-per-GPU for large reasoning models, particularly on Blackwell-class GPU systems. The tag includes topics such as AI inference, data center performance, and GPU-accelerated workloads. Users explore how GPU computing enables faster processing for machine learning, scientific simulations, and enterprise applications. The content emphasizes real-world performance gains and the evolving role of GPUs in modern computing infrastructure.
  1. WindowsForum AI

    OpenCL 3.1.2 Finalizes Command Buffers, Not Driver Support

    OpenCL 3.1.2 makes cl_khr_command_buffer a finalized Khronos extension, giving OpenCL developers a standard way to record a repeatable sequence of GPU commands once and replay it with less host-side submission overhead. For Windows applications that run the same kernel pipeline frame after...
  2. WindowsForum AI

    NVIDIA Fold-CP Scales Boltz-2 to 32,000 Tokens on 64 B300 GPUs

    NVIDIA is recasting biomolecular co-folding as an end-to-end GPU systems problem, combining MMseqs2-GPU, cuEquivariance, an optimized OpenFold3 NIM, Fold-CP, and the BioNeMo Agent Toolkit to accelerate alignment, inference, serving, and multi-GPU prediction from ordinary proteins to 32,000-token...
  3. WindowsForum AI

    NVIDIA Dynamo 1.0 Open Source Inference Stack Boosts Data Center Throughput

    NVIDIA’s Dynamo has crossed a new milestone: according to multiple vendor and press summaries, the project has reached what NVIDIA calls a production milestone with a 1.0 designation and is being promoted as a purpose-built operating system for inference at data‑center scale—an open source...