
CUDA Programming - A Practical Guide for Software Engineers
A hands-on guide to CUDA programming for developers who know how to code but have never written a GPU kernel. Covers architecture, memory, real code examples, and Metal comparison.
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A hands-on guide to CUDA programming for developers who know how to code but have never written a GPU kernel. Covers architecture, memory, real code examples, and Metal comparison.

A developer cracked Apple's undocumented ANE private APIs, measured its real throughput at 19 TFLOPS FP16 (not the marketed 38 TOPS), and trained a 109M-parameter transformer on hardware Apple designed exclusively for inference.

macOS RDMA over Thunderbolt 5 has turned four Mac Studios into a 1.5TB unified memory cluster that runs Kimi K2 at 25 tokens per second - a setup that would cost $780K with NVIDIA H100s.

Awesome Agents launches a dedicated Hardware section with detailed spec pages for 21 GPUs, TPUs, and AI accelerators - from datacenter flagships to home lab favorites.

Full specs and benchmarks for the Apple M4 Max SoC - up to 128GB unified memory at 546 GB/s, 3nm process, and why it has become the quiet favorite for running 70B+ models locally.

Awni Hannun, the Stanford-trained researcher who co-created Apple's MLX machine learning framework, announced his departure from Apple. His exit is the latest in a devastating exodus of AI talent that has hollowed out Apple's ML research bench over the past year.

People are spending $2,200 on Mac Minis to run OpenClaw - an agent that calls Claude and OpenAI APIs remotely. The Mac Mini's GPU sits idle. Any old laptop, desktop, or even an Android phone can make HTTP requests just as well.

OpenClaw's GitHub security advisories jumped from ~90 to 130 in 48 hours. With 40,000+ exposed instances, a poisoned plugin marketplace, and malware targeting Mac Minis, the most popular personal AI agent is also the most dangerous.

A viral tweet exposes an uncomfortable pattern in the local LLM community: endless hardware purchases, near-zero shipped products. The data backs it up.

Rankings of the best open source LLMs you can run on home hardware - RTX 4090, RTX 3090, Apple M3/M4 Max - organized by VRAM tier with real-world token/s benchmarks and quality scores.