One Search, Two Layers: Compiler Controls Inside PyTorch Helion using NVIDIA CompileIQ
With Helion’s release last year, it aimed at enabling developers to write GPU kernels in PyTorch-native Python and let its powerful autotuner do the work that used to require hand-written... The post One Search, Two Layers: Compiler Controls Inside PyTorch Helion using NVIDIA CompileIQ appeared fir…
Read the full story at PyTorch Blog ↗
Timeline · 1 report
- 2026-10-19 15:45 · PyTorch Blog
One Search, Two Layers: Compiler Controls Inside PyTorch Helion using NVIDIA CompileIQ
More stories
- Amazon launches TorchNeuron, an open-source framework that lets developers run PyTorch code on Amazon's Trainium chips with no rewriting needed, in public beta — Techmeme
- NVIDIA Advances Agentic Security for Media, From European Public Service Broadcasting to Global Content Production — NVIDIA Blog
- Nvidia launches new open models to run agents in the enterprise and on PCs — TechCrunch AI
- Qwen 27B (IQ4_XS, Q8/Q4 KV) at full 262k context on a 16GB RX 9070 XT: 80+ t/s decode with Adaptive KV Streaming — r/LocalLLM
- RTX Spark Ignites Global Celebration as New Windows PCs Arrive — NVIDIA Blog
- Markets Brace for Inflation, Tech Earnings — Bloomberg AI
- Nvidia unveils new open AI models for business and computing — DEV Community — Machine Learning
- AI infrastructure startup Modal says it plans to start using Nvidia's Vera CPUs for the first time for hosting agents, alongside its current Intel and AMD chips — Techmeme
Get the daily brief of stories like this at 6:30 every morning →