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- vLLM
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Market Events
Guide to Local LLMs in 2026
Comparison article positioning vLLM as enterprise-grade option
DeepSeek-V3.2 on GB300: Performance Breakthrough
8-20x performance improvement on NVIDIA GB300 GPUs, co-authored with DaoCloud
vLLM Office Hours #43 - Triton Backend Deep Dive
Technical session covering Triton backend implementation
Why I'm Joining the PyTorch Foundation
Institutional endorsement: vLLM has become the inference engine of choice for the industry
AI inference costs dropped up to 10x on Nvidia's Blackwell
Mainstream tech media coverage mentioning vLLM's role in Blackwell optimization
GLM-5 Office Hours
Tutorial on deploying GLM-5 with SGLang on Modal
Mini-SGLang Released
5000-line simplified tutorial codebase for learning SGLang internals
How to Deploy vLLM on Kubernetes
Step-by-step Kubernetes deployment guide
SGLang Convert Command Deep Dive
Technical article on unlocking large language models with SGLang convert command
SGLang Convert Command Deep Dive
Unlocking large language models with SGLang convert command
How to Run LLM Inference with vLLM in Docker
Comprehensive Docker tutorial covering setup and production configuration
What is vLLM? Everything You Should Know
Comprehensive overview optimized for newcomers
Driving vLLM WideEP on Blackwell (Part I)
26.2K prefill TPGS and 10.1K decode TPGS on GB200 for DeepSeek-style MoE models
AMD Developer Cloud Tutorial
Step-by-step tutorial for running vLLM on AMD Instinct MI300X GPUs
CVE-2026-22778 Security Vulnerability
Remote code execution vulnerability affecting vLLM 0.8.3 through pre-0.14.1
GPT-OSS Performance Optimizations on NVIDIA Blackwell
+38% max throughput and +13% min latency improvement for gpt-oss-120b
Inferact Funding Coverage Continues
Continued media coverage from TechCrunch, Bloomberg, and VentureBeat
SGLang v0.5.8 Released
New release with diffusion model improvements
vLLM launches Inferact
$150M seed at $800M valuation, a16z & Lightspeed co-led
SGLang spins out as RadixArk
$400M valuation, Accel-led funding round
ROCm First-Class Platform
AMD ROCm becomes first-class platform in vLLM ecosystem
vLLM v0.14.0 Released
Major release with T4/2080Ti support for 32B-AWQ models
SGLang NVIDIA Collaboration Roadmap
Q1 2026 roadmap announced with kernel optimizations