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PRODID:-//Allsikt//Article Deadline//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
BEGIN:VEVENT
UID:28b8c5093850f856c9b1b65d4386d2ae9ab03b40@allsikt.tech
DTSTAMP:20260722T184452Z
DTSTART;VALUE=DATE:20260722
DTEND;VALUE=DATE:20260723
SUMMARY:AI News Highlights Harnesses\, Open Models\, Benchmark Shifts
DESCRIPTION:Deploy vLLM 0.20 with TurboQuant 2‑bit KV cache to boost KV capacity and reduce latency.\n\nSource: Latent Space\nOpen: https://allsikt.se/article/ai-twitter-recap-vllm-0-20-poolside-laguna-xs-2-nvidia-nemotron-3-nano-omni-and-agent-tooling-57029ddd
URL:https://allsikt.se/article/ai-twitter-recap-vllm-0-20-poolside-laguna-xs-2-nvidia-nemotron-3-nano-omni-and-agent-tooling-57029ddd
STATUS:CONFIRMED
TRANSP:TRANSPARENT
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