Developer Tools & Techniques Cut Checkpoint Costs with About 30 Lines of Python and NVIDIA nvCOMP Apr 09, 2026 By Wenqi Glantz , Eugene Zhidkov and Makan Taghavi Discuss (0) Discuss (0) L T…
…By leveraging RTX GPUs across desktops, laptops, and workstations, TensorRT for RTX accelerates workloads such as rendering, language, speech, and animation while maintaining strong performance on consumer hardware. In practice, developers can…
…Add CloudXRKit as a dependency in your Xcode project, initialize a streaming session pointed at your server, and the framework handles hardware-accelerated video decoding, spatial tracking via ARKit, and local scene…
…Generative AI can accelerate that work – compressing tasks that once took hours of manual effort into automated, repeatable pipelines. ComfyUI is an open-source, node-based creative tool that runs locally on…
…and hardware-in-the-loop testing—across heterogeneous compute environments. 2. Does OSMO replace simulators or training frameworks? No. OSMO orchestrates these components; it doesn’t replace them. It runs tools like…
…AI agent architecture research with a focus on accelerating agent performance through a co-designed software and hardware stack. Benjamin also works on accelerating software development velocity through the design and deployment…
…Learn more As AI models grow in scale and complexity, realizing the full performance of modern accelerated infrastructure depends as much on how workloads are placed as on the hardware itself. NVIDIA…
Simulation / Modeling / Design Build Accelerated, Differentiable Computational Physics Code for AI with NVIDIA Warp Mar 12, 2026 By Sheel Nidhan , Eric Shi , Neil Ashton , Zach Corse and Mohammad Mohajerani Discuss (0) Discuss…
…Her teams deliver Fleet Intelligence, capacity management tools, and infrastructure and cloud services enabling GPU hardware attestation. Previously, Gail was Heroku CTO at Salesforce and has held senior engineering leadership roles at…
…In addition, some tools for scientific visualisation of data will be presented. Secondly, the focus shifts to how to make use of profiling tools to analyse GPU accelerated applications to identify bottlenecks…