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grep -l @vllm /news/*.json | wc -l → 748

vLLM

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// recent coverage 748 mentions

18:28
2026-05-29
github.com
artificial-intelligence

ARM Open Sources AI-Powered Security Code Review

Arm's Product Security Team has released Metis, an open-source AI security framework that uses large language models to perform deep reasoning and context-aware code reviews for detecting subtle vulne…

16:19
2026-05-29
liquid.ai
large-language-models

Liquid AI reveals 8B-A1B MoE trained on 38T

Liquid AI released LFM2.5-8B-A1B, an edge model designed for fast tool calling on consumer hardware, with a 128K context window and pretraining scaled to 38 trillion tokens. The model, available on Hu…

18:21
2026-05-27
letsdatascience.com
ai-infrastructure

Starlette Vulnerability Exposes AI Agent Endpoints

A critical vulnerability tracked as CVE-2026-48710 and nicknamed "BadHost" was disclosed in the Starlette ASGI framework, affecting all versions prior to 1.0.1. The flaw allows attackers to manipulate…

12:05
2026-05-27
arxiv.org
large-language-models

Stateful Inference for Low-Latency Multi-Agent Tool Calling

Researchers have developed a stateful inference architecture for multi-agent tool calling that reduces per-turn computational cost from full reprocessing to delta-only updates, achieving 2.1x faster p…

23:00
2026-05-26
dev.to
artificial-intelligence

Is Claude API Worth $3/1M Tokens Over Self-Hosted Llama?

A developer compared the costs of Claude Sonnet 4.6 API at $3.00 per million input tokens against a self-hosted Llama 3.2 90B instance on a $20/month DigitalOcean GPU Droplet. The analysis found that …

09:07
2026-05-26
mcp-scan.nemesis.services
ai-infrastructure

BadHost – CVE-2026-48710 Starlette Host-Header Auth Bypass

A critical vulnerability tracked as CVE-2026-48710 (BadHost) in Starlette versions prior to 1.0.1 allows attackers to bypass path-based authentication middleware by injecting a crafted Host header tha…

06:35
2026-05-26
dev.to
large-language-models

Prefix caching in vLLM under multi-tenant agent traffic

Nexus Labs reduced time-to-first-token (TTFT) from 480ms to 110ms on one tenant by enabling vLLM's prefix cache for agent workloads, while another tenant saw no improvement. The discrepancy was caused…

00:20
2026-05-26
ranvier.systems
large-language-models

Tokenization Is the Bottleneck You're Not Measuring

A hidden bottleneck in LLM proxy architectures is causing 5-13 millisecond blocking delays per request during tokenization, a CPU-bound operation that most systems treat as instantaneous. In event-loo…

11:37
2026-05-21
dev.to
large-language-models

End-to-End Observability for vLLM and TGI: from DCGM to Tokens

Running large language model inference servers like vLLM and TGI in production requires specialized observability because they behave differently from standard web services, with key metrics like late…

01:14
2026-05-20
dev.to
large-language-models

Ollama vs llama.cpp vs vLLM: Which Should You Use in 2026?

This article compares three dominant tools for local LLM inference in 2026: Ollama, llama.cpp, and vLLM. Ollama is recommended for personal, non-technical use due to its ease of setup, while llama.cpp…

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