132 summarised stories about Inference Optimization, each linking back to the original source. Browse all topics →
TechCrunch 3 weeks ago 50 ● 4 sources
PrismML released Bonsai 2 27B, a compressed reasoning large language model designed to run on PCs and smartphones. The model compresses Qwen3.8 27B down to 5.9 GB, matching 98% of Qwen’s aggregate benchmark scores. As a result, LLMs can be deployed with much lower memory use while aiming to preserve performance, with the company planning next releases targeting several-hundred-billion parameters.
Simon Willison’s Weblog 3 weeks ago 46 ● 4 sources
A Hacker News commenter explains how to run the Bonsai 2 27B GGUF model using Prism’s llama.cpp fork and provides local setup steps. The GGUF download is about 5.95 GB. Users can launch a local server (with a warning about the tensor API not being supported in their environment) and see token throughput that varies between restarts.
GitHub Pages 3 weeks ago 3
DeepSeek-V4.1 Flash’s technical report lays out architectural and precision techniques to push KV cache compression to reduce long-context compute and storage bottlenecks. It reports reaching nearly 420 tokens/s with the release. The result is a CED + CSA2 design that supports up to 1 million tokens while cutting KV cache footprint further (including about 4x more compression) and improving serving efficiency.
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15 October 2026
Anthropic used its pre-IPO moment to put hard numbers behind the AI business model: it reported $16.8 billion in Q3 revenue, up 45% sequentially, and said it reached adjusted profitability for the first time. That matters because it reframes what “scaling” looks like for the next wave of investors—less guesswork, more operating reality—at the same time the company is briefing markets ahead of an expected November listing.
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