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#vllm - page 5 | AI Briefing

With 96GB, you can go up to 122B

·2026.04.10 14:00

122B 198t/s

·2026.04.10 09:00

TriAttention for KV Cache Compression (GitHub Repository)

·2026.04.08 09:00

Fujitsu One Compression (3 min read)

·2026.04.02 09:00

vLLM CUDA Integer Overflow

·2026.03.25 17:00

Mistral Small 4 Released

·2026.03.16 09:00

Scaling LLM Post-Training at Netflix

·2026.02.13 17:00

Scaling vLLM Without OOM

·2026.02.05 23:00

Debugging a Mamba Bug in vLLM

·2026.01.29 21:00

The Heap Lies: Debugging a vLLM Memory Leak

·2026.01.21 09:00

Introducing Mistral 3

·2025.12.02 09:00

vLLM Hands-on Workshop Recap

·2025.11.10 10:00

Hugging Face Adds Public AI as Inference Provider

·2025.09.17 09:00

The First vLLM Meetup Held in Korea

·2025.09.16 14:00

NPU-Based LLM Serving: A Redesign for Maximum Scalability and Efficiency

·2025.08.24 11:00

AMD MI300X Optimized Kernels Released

·2025.07.09 09:00

vLLM Improves Long-Prompt Bottleneck Issue

·2025.06.12 17:00

TRL Adds vLLM Co-location Support

·2025.06.03 09:00

Hugging Face, Ultra-Fast Whisper Endpoint

·2025.05.13 09:00

Qwen3: Thinking Deeper and Acting Faster

·2025.04.29 05:00

Request Queuing Strategies for LLM Performance Optimization

·2025.04.02 22:00

Qwen2.5-1M: Qwen Releases Models Supporting Up to 1 Million Token Context Length

·2025.01.27 01:00

TGI Adds Multi-Backend Inference Support

·2025.01.16 09:00

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