CUDA Python 1.0: Stable APIs, One Foundation, Full Platform Access

Stable, NVIDIA-maintained Python APIs to the CUDA platform mean GPU-level work no longer requires a C++ extension and a hand-maintained binding layer, with predictable deprecation to build libraries against.

• articleLower the Cost of Building and Running Visual AI Agents with NVIDIA VSS Blueprint 3.3
• articleHow SWE-Serve Exposes the Gap Between Local Tests and Live Serving
• articleHow to Evaluate AI Agents From Tool Calls to Task Completion
• articleTurn Your Latest Observations Into Timely Weather Decisions With NVIDIA Earth-2

• articleCUDA Toolkit 13.4 Adds Windows on Arm Support and Greater Control over Shared GPUsJonathan Bentz
• articleIntroducing CUDA Rust: Two Tracks for Writing GPU KernelsElizabeth Goodman
• postReading the CUDA Programming Guide for LLM inference speedwafer_ai

Checking sign-in…

Loading comments…