VibeTensor from NVIDIA Is Vibe Coding for the GPU Stack скачать в хорошем качестве

VibeTensor from NVIDIA Is Vibe Coding for the GPU Stack

This video breaks down VibeTensor — an AI-generated deep learning runtime built from scratch in C++20 with its own tensor core, dispatcher, autograd engine, CUDA runtime, and multi-language frontends. We explore how VibeTensor spans Python and Node.js bindings, TensorImpl/Storage design, a schema-lite dispatcher, reverse-mode autograd, a stream-ordered CUDA caching allocator, CUDA graph capture, Triton integration, dynamic operator plugins, and experimental multi-GPU primitives. This isn’t about AI writing functions — it’s about whether AI can sustain real systems architecture. If you’re a systems engineer, ML infra developer, or CUDA programmer, this is a technical deep dive into AI-generated infrastructure and what it teaches us about architectural coherence. 👇 Can AI hold a full runtime stack together? 👍 Like and subscribe for more deep dives into real AI systems. 🎯 Primary Search Keywords (Front-Loaded) Vibe Tensor, Nvidia, GPU Programming, vibe coding, gpu coding, nvidia vibetensor , openai codex, nvidia merlin, introducing , claude code, 🔗 Hashtags #vibetensor #AIgeneratedVideo #nvidia #elevenlabs #vibecoding #claudecode #AIExplained #gpu