Mistral AI Landed Military Contracts While U.S. Rivals Face Public Backlash - trendingtopics.eu
<a href="https://news.google.com/rss/articles/CBMiZ0FVX3lxTE5YRFBGNWZvV3BPTWRhVk95cFpmdjE1MXgwUXNZQmFvdURETkhjS2lERU5nNXl3T05SLTVBWHRvbHpoVWNrYTZ0TmZSRWJPYldrbFd3QTVnSzFveE4yM3pLbVBwZ0NQblE?oc=5" target="_blank">Mistral AI Landed Military Contracts While U.S. Rivals Face Public Backlash</a> <font color="#6f6f6f">trendingtopics.eu</font>
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<p>A KV cache compression plugin that only works on one model is a demo, not a tool. turboquant-vllm v1.0.0 shipped four days ago with one validated architecture: Molmo2. v1.3.0 validates seven — Llama 3.1, Mistral 7B, Qwen2.5, Phi-3-mini, Phi-4, Gemma-2, and Gemma-3. The path between those two points was more interesting than the destination.</p> <h2> What Changed </h2> <p><strong>Fused paged kernels (v1.2.0).</strong> The original architecture decompressed KV cache from TQ4 to FP16 in HBM, then ran standard attention on the result. The new fused kernel reads compressed blocks directly from vLLM's page table, decompresses in SRAM, and computes attention in a single pass. HBM traffic: 1,160 → 136 bytes per token.<br> </p> <div class="highlight js-code-highlight"> <pre class="highlight pyth

Complete Guide to llm-d CNCF Sandbox — Kubernetes-Native Distributed LLM Inference
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NASA Confirms 80% Launch Probability for Artemis II Amid Solar Flare Watch
<p><strong>Artemis II Launch Odds Surge as Solar Flare Fizzles Out</strong></p> <p>NASA's Artemis II mission is on track for liftoff later this month, with officials reporting an 80% chance of favorable weather conditions at Kennedy Space Center. Despite an earlier X-class solar flare detection, space weather analysts have determined the event poses no significant threat to the crewed lunar flyby, ensuring mission preparations remain on schedule.</p> <p><strong>Key Takeaways</strong></p> <ul> <li>NASA confirms 80% probability of favorable launch conditions for Artemis II.</li> <li>An X-class solar flare was detected earlier this week but is not expected to impact the mission.</li> <li>The crewed lunar flyby remains on track for its scheduled launch later this month.</li> </ul> <p><a href="
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From one model to seven — what it took to make TurboQuant model-portable
<p>A KV cache compression plugin that only works on one model is a demo, not a tool. turboquant-vllm v1.0.0 shipped four days ago with one validated architecture: Molmo2. v1.3.0 validates seven — Llama 3.1, Mistral 7B, Qwen2.5, Phi-3-mini, Phi-4, Gemma-2, and Gemma-3. The path between those two points was more interesting than the destination.</p> <h2> What Changed </h2> <p><strong>Fused paged kernels (v1.2.0).</strong> The original architecture decompressed KV cache from TQ4 to FP16 in HBM, then ran standard attention on the result. The new fused kernel reads compressed blocks directly from vLLM's page table, decompresses in SRAM, and computes attention in a single pass. HBM traffic: 1,160 → 136 bytes per token.<br> </p> <div class="highlight js-code-highlight"> <pre class="highlight pyth
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