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Optimizing Qwen 3.5 122B on Mac Studio Ultra: Debugging cache leaks and LLM inference bottlenecks

DS4 Flash looked promising on paper. In practice it was too slow for long contexts and unreliable for agentic coding. Here is why I switched to Qwen 3.5 122B and the three bugs I had to kill to make it usable.

Insighttechnologyprogramminghardware optimization

mrzk.io·Hacker News: Front Page·6d ago·12 min read

Hardware-Aware Dynamic Speculative Decoding: Optimizing LLM Inference Through Adaptive Draft Token Selection

Insighttechnologymachine learning

Shared by @TheZachMueller ↗

cohere.com7d ago

How to revive old PCs with Linux in 2026: distro selection, hardware upgrades, and optimization guide

technologyeducation

Shared by @hn100.atproto.rocks ↗

fosslinux.com21d ago

Google's TurboQuant Compresses LLM KV Cache Memory by 6x Without Accuracy Loss

Newstechnologyscience

Shared by @undercode.bsky.social ↗

undercodetesting.com26d ago

Benchmarking 25 compiler flags for running Gemma 4 on a 2016 Xeon: 12 were useless, 2 made the difference

A follow-up to running Gemma 4 on a 2016 Xeon. I took the 25-flag config apart one flag at a time. Twelve of them did nothing here, and the speed I gained came from fixing two flags I kept, not from the pile I deleted.

Insighttechnologyprogramminghardware optimization

point.free·Hacker News: Front Page·29d ago·20 min read

Running Gemma 4 on a 2016 Xeon Server with No GPU: A Technical Walkthrough

Or running Gemma 4 on a 2016 Xeon with no GPU, 25 flags, 128 GB of DDR3, and a 25B-parameter MoE.

technologyprogramminghardware optimization

point.free·Hacker News: Front Page·1mo ago·15 min read

AlphaEvolve: Google's Gemini-powered coding agent optimizes TPU design and scientific algorithms

Discover how AlphaEvolve optimizes algorithms for genomics, quantum physics, global infrastructure, and more to accelerate scientific progress and solve real-world challenges.

technologysciencehardware optimization