Mechanical Sympathy

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Scoured 14 posts in 42.5 ms

Operator Fusion for LLM Inference on the Tensix Architecture

 🦉Qwen  Content type: Academic
arxiv.org·

Graviton5’s improved design increases speed and energy efficiency — beyond Moore’s law

 🖥️Hardware Architecture  Content type: Blog

New OS kernel uncovers hidden Apple M1 behavior and possible Phantom attack

 Systems Performance
techxplore.com·

Two Leaps to 1000 Tokens/s on a 1T-Parameter Model: On Inference Systems, Execution Boundaries, and Co-Design

 Fast AI Inference  Content type: Blog

Prompt Caching on Claude: Cut Input Costs 78% (The Math Nobody Writes Down)

 💻Claude Code
pub.towardsai.net
·

Apple Chip Architecture from 1977 to 2026

 🖥️Hardware Architecture  Content type: News  Content type: Blog

Error Handling in Rust vs. Exceptions in other languages

 Sum Types
slicker.me··r/rust

A Database You Can See

 💾CPU Caching  Content type: Blog
nockawa.github.io·

Beyond the Memory Wall: The CPU Was Helping You All Along

 💨Cache-Friendly Algorithms  Content type: Blog
prawns.dev··Hacker News

Release Notes J9.7 - J Wiki

 💾CPU Caching

bigattichouse/packed-twin-inference: PTI achieves ~2× throughput using a single quantized model (Q5_K_M or better) by running 4 generation streams in one batched decode call. The GPU loads model weights once per step and produces 4 predictions simultaneously. KV cache overhead is ~0.8 GiB total for all 4 streams. No draft model. No quality loss

 🤖AI  Content type: Code
github.com··r/LocalLLaMA

DuckDB Storage Engine for MariaDB. When the Sea Lion Learns to Quack.

 🦆DuckDB
mariadb.org··Hacker News
Less-relevant results

Introducing SQL Data Insights Pro

 💾Databases  Content type: Blog
research.ibm.com·

ASTRA-sim 3.0: Next-Level Distributed Machine Learning Simulations via High-Fidelity GPU and Infrastructure Modeling

 🖥GPUs  Content type: Academic
arxiv.org·

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