Groq
Fastest LLM inference — custom silicon for instant responses
Expert verdict
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3-0The Panel's Take
Groq builds custom LPU (Language Processing Unit) chips that deliver the fastest LLM inference available. Llama and Mistral models run at 500+ tokens/second — 10-20x faster than GPU-based providers.
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Groq verdict: SHIP 🚀 3 ships · 0 skips from the expert panel Full review: shiporskip.io/tool/groq
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<a href="https://shiporskip.io/api/badge-click/groq" target="_blank" rel="noopener"><img src="https://shiporskip.io/api/badge/groq" alt="Groq Ship verdict on ShipOrSkip" width="360" height="90" /></a>[](https://shiporskip.io/api/badge-click/groq)<iframe src="https://shiporskip.io/embed/groq" title="Groq ShipOrSkip verdict" width="360" height="260" style="border:0;border-radius:16px;max-width:100%;" loading="lazy"></iframe>The reviews
“The speed is mind-blowing. 500+ tokens/sec makes LLM responses feel instant. For latency-sensitive applications — autocomplete, real-time chat — nothing else comes close.”
“Speed is real but model selection is limited to open-source. No GPT or Claude. For apps that need the best model, you still need OpenAI/Anthropic. For speed-first use cases, Groq wins.”
“Custom silicon for LLMs is the right long-term bet. GPUs are general-purpose. Groq is purpose-built. As open-source models match GPT quality, Groq becomes the default inference layer.”