Best LLM Inference Tools

Layer-by-layer LLM inference library that lets a 70B model run on a 4 GB GPU, or a 405B model on 8 GB.

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Ultra-fast LLM inference API powered by Cerebras' wafer-scale CS-3 chip, delivering thousands of tokens per second on open models.

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Fast, low-cost LLM inference API powered by Groq's LPU chip, serving open-source models like Llama, Kimi K2, and Qwen at low latency.

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High-performance framework from Tsinghua's KVCache.ai for running massive MoE models like DeepSeek-V3 and Kimi K2 on a single workstation.

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High-performance open-source serving framework for LLMs and multimodal models, optimized for structured generation and complex agent workloads.

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High-throughput, memory-efficient open-source inference and serving engine for LLMs, used as the default backend at many AI companies.

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