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vLLM hits 500K GPUs as co-founder Simon Mo makes the case for open models

vLLM runs on 500K GPUs as co-founder Simon Mo raises $150M for Inferact, making the case for open-weight models in production AI infrastructure.

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cryptobriefing.comStai leggendo4 g fa

vLLM hits 500K GPUs as co-founder Simon Mo makes the case for open models

vLLM reaches 500K GPU; co-founder Simon Mo raises $150M (a16z) for Inferact on open-weight inference versus closed APIs. Open models deliver control (no vendor lock-in), customization (fine-tuning), cost-parity at scale—flipping closed-API economics.

originale

dev.to4 g fa

Inside vLLM: How the World's Fastest LLM Inference Engine Works

How vLLM achieves 2-5x better throughput than alternatives through PagedAttention and continuous batching

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Timeline cronologica

mercoledì 5 agosto 2026·dev.to
AirLLM: Running 70B Parameter LLMs on a Single 4GB GPU
Low-Memory LLM Inference: Meet AirLLM As open-source Large Language Models (LLMs)...
giovedì 6 agosto 2026·cryptobriefing.com
vLLM hits 500K GPUs as co-founder Simon Mo makes the case for open models
vLLM runs on 500K GPUs as co-founder Simon Mo raises $150M for Inferact, making the case for open-weight models in production AI infrastructure.

vLLM hits 500K GPUs as co-founder Simon Mo makes the case for open models

Inside vLLM: How the World's Fastest LLM Inference Engine Works

Timeline cronologica

AirLLM: Running 70B Parameter LLMs on a Single 4GB GPU

vLLM hits 500K GPUs as co-founder Simon Mo makes the case for open models

Inside vLLM: How the World's Fastest LLM Inference Engine Works