Vllm is a topic tracked in our intelligence system with 5 linked articles.
A technical deep-dive into vLLM's high-throughput inference stack, covering core architecture (engine core, KV cache, paged attention), advanced features (chunked prefill, prefix caching, guided and speculative decoding, disaggregated P/D), multi-GPU scaling (Uniproc/MultiProc, TP/PP/DP), distributed serving, and latency/throughput benchmarking with concrete configs and code sketches.
Qualcomm acquired Modular for nearly $4B to pursue an open, multi-silicon AI compute stack (Mojo/Max) that enables heterogeneous deployment from edge to cloud; Modular remains independent and aims to standardize across silicon via an open ecosystem and token-based inference.
SambaNova raises $1B at an $11B valuation in a first close of its Series F, five months after a mega round, with JPMorgan as a customer and Intel partnership, signaling continued demand for AI inference hardware and potential exit paths.
NVIDIA Cosmos 3 is an open-source physical AI foundation model family (Nano 16B and Super 64B) with a unified Reasoner-Generator MoT architecture, open datasets, post-training workflows, and production-ready NIM microservices for deployment.
Liquid AI unveils LFM2.5-8B-A1B, an 8B parameter MoE edge model with 128K context, 38T pretraining, expanded tokenizer, and strong on-device benchmarking and tool-calling capabilities.
Critical Starlette vulnerability CVE-2026-48710 (BadHost) enables Host header-based path auth bypass in Starlette <1.0.1, affecting thousands of AI infra apps; fix by upgrading to 1.0.1+, adopting endpoint-based security, and placing a reverse proxy in front of ASGI servers.
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