Feb 22, 05:21 PM

Groq Inc. Showcases Impressive Inference Speeds on MistralAI Mixtral Model, Supports 800+ Hugging Face Models, Achieves 200 tokens/s

Groq Inc., a tech company, showcases its Language Processing Units (LPUs) with impressive inference speeds of up to 500 tokens per second on the MistralAI Mixtral model. They support over 800 Hugging Face models on their chips, focusing on input prompt processing speed for a 10x improvement. The community is excited about Groq's API for inference, with one user achieving over 200 tokens per second. A detailed comparison by Semianalysis highlights Groq's speed advantage over Nvidia in terms of silicon cost.

#Language Processing Units #MistralAI Mixtral #Hugging Face #Groq #Semianalysis #Nvidia

Written with ChatGPT (GPT-3).

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Kris@AllAbtAI
3 years ago
I have tested the @GroqInc API for different tasks like: ✅ Real Time Speech to Speech ✅ Groq vs ChatGPT Speed ✅ Chain Prompting Really impressed so far! More tests do to soon🤖 #ai #LLM #tech #aiengineer #SoftwareEngineer https://t.co/BvyEBqJheG
Artificial Analysis@ArtificialAnlys
3 years ago
Deep-dive into how Groq achieves its speed and detailed TCO comparison vs. Nvidia by Semianalysis Excellent article from @dylan522p and @dnishball breaking down @GroqInc's inference tokenomics vs Nvidia: “Groq has a chip architectural advantage in terms of dollars of silicon… https://t.co/k2GpV5o8Hk
Kris@AllAbtAI
3 years ago
Insane inference using the @GroqInc API🔥 I made a small counter that showed over 200 tokens/s (not 100% accurate but pretty close) VERY excited about this. More in Sundays YT video 🤖 #groq #ai #llm #tech #aiengineer https://t.co/0fJX2BTStq

Groq Inc. Showcases Impressive Inference Speeds on MistralAI Mixtral Model, Supports 800+ Hugging Face Models, Achieves 200 tokens/s

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