AI Pulse by Inblix

Topic: PyTorch

12 articles

Explore our coverage of PyTorch — 12 curated articles, summaries, and related resources from the Inblix archive.

NVIDIA's FP8 Transformer Engine slashes GPU memory in custom GPTs by over 30% — Inblix summary
AI News

NVIDIA's FP8 Transformer Engine slashes GPU memory in custom GPTs by over 30%

MarkTechPost · Aug 1, 2026 · 2 min read

Training transformers on consumer or older server GPUs has always been a memory game you're destined to lose. But NVIDI...

OpenAI goes all-in on PyTorch, calling it the future of research — Inblix summary
Product

OpenAI goes all-in on PyTorch, calling it the future of research

OpenAI Blog · Jul 19, 2026 · 2 min read

OpenAI is cleaning house. After years of bouncing between deep learning frameworks based on whichever tool fit a specif...

That One Memory Copy Is Killing Your Attention Speed: A PyTorch Profiler Deep Dive — Inblix summary
Research

That One Memory Copy Is Killing Your Attention Speed: A PyTorch Profiler Deep Dive

Hugging Face Blog · Jul 10, 2026 · 2 min read

Most engineers know the theory of PyTorch profiling, but watching a real trace expose a hidden inefficiency is somethin...

PyTorch's nn.Linear already runs a fused kernel—here's why torch.compile adds nothing for one layer — Inblix summary
Research

PyTorch's nn.Linear already runs a fused kernel—here's why torch.compile adds nothing for one layer

Hugging Face Blog · Jun 11, 2026 · 2 min read

If you've been sprinkling torch.compile on every layer hoping for free speed, the profiler has some humbling news. In t...

PyTorch profiling isn't just for experts: Here's how to read your first trace — Inblix summary
Research

PyTorch profiling isn't just for experts: Here's how to read your first trace

Hugging Face Blog · May 29, 2026 · 2 min read

Most PyTorch users know they should profile their models. Few actually do it. The barrier isn't a lack of tools — it's...

Hugging Face Taught Claude and Codex to Write Production CUDA Kernels — Inblix summary
Research

Hugging Face Taught Claude and Codex to Write Production CUDA Kernels

Hugging Face Blog · Feb 13, 2026 · 2 min read

Writing fast CUDA kernels is a dark art. It's not just about knowing C++ — it's about wrangling GPU memory hierarchies,...

Hugging Face Transformers v5 sheds TensorFlow, Flax, and 'slow' tokenizers in push for simplicity — Inblix summary
Research

Hugging Face Transformers v5 sheds TensorFlow, Flax, and 'slow' tokenizers in push for simplicity

Hugging Face Blog · Dec 1, 2025 · 2 min read

The Hugging Face team launched Transformers v5 today, marking a deliberate shift from the sprawl of 400+ model architec...

Hugging Face Now Lets You Build and Share AMD ROCm Kernels Without the Toolchain Headaches — Inblix summary
Research

Hugging Face Now Lets You Build and Share AMD ROCm Kernels Without the Toolchain Headaches

Hugging Face Blog · Nov 17, 2025 · 2 min read

If you've ever wrestled with CMake, Nix, or ABI issues just to get a custom GPU kernel running in PyTorch, the new work...

Arm bets on PyTorch with free design sprints and “Yellow Teaming” at its biggest developer push yet — Inblix summary
Research

Arm bets on PyTorch with free design sprints and “Yellow Teaming” at its biggest developer push yet

Hugging Face Blog · Oct 10, 2025 · 3 min read

Arm is making an unusually hands-on play for PyTorch developers at this year’s conference in San Francisco, and it goes...

Apple's Neural Engine is 12x More Power-Efficient Than CPU for On-Device OCR — Inblix summary
Research

Apple's Neural Engine is 12x More Power-Efficient Than CPU for On-Device OCR

Hugging Face Blog · Oct 2, 2025 · 2 min read

Running state-of-the-art AI models on Apple devices just got a clearer playbook. The team behind dots.ocr, a model comb...

Hugging Face's Kernel Builder Turns Solo CUDA Code Into Shared, Production-Ready Python Packages — Inblix summary
Research

Hugging Face's Kernel Builder Turns Solo CUDA Code Into Shared, Production-Ready Python Packages

Hugging Face Blog · Aug 18, 2025 · 2 min read

Writing a fast CUDA kernel for a specific GPU is one thing. Making it build cleanly for multiple architectures, survive...

KV Caching from Scratch in nanoVLM Delivers a 38% Generation Speedup — Inblix summary
Research

KV Caching from Scratch in nanoVLM Delivers a 38% Generation Speedup

Hugging Face Blog · Jun 4, 2025 · 2 min read

Implementing a fundamental optimization from scratch is often the best way to truly understand it. That's exactly what...