Nvidia says its Groq 3 LPX is four times faster than Cerebras, but the math is more complicated
Nvidia is moving its Groq 3 LPX inference chip into full production and reports 3,400 tokens per second on Gemma 4 31B, four times faster than Cerebras. But the numbers don't tell the whole story. Nvidia needs at least 64 accelerators to get there, while Cerebras needs only one or two, according to The Register. How well the architecture scales with large MoE models remains an open question.<br /> The article Nvidia says its Groq 3 LPX is four times faster than Cerebras, but the math is more complicated appeared first on The Decoder. [...]
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Cerebras says its chips run a trillion-parameter AI model nearly 7 times faster than GPU clouds
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Nvidia, Groq and the limestone race to real-time AI: Why enterprises win or lose here
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Nvidia introduces Vera Rubin, a seven-chip AI platform with OpenAI, Anthropic and Meta on board
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GTC 2026: With Groq 3 LPX, Nvidia adds dedicated inference hardware to its platform for the first time
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Nvidia paid Groq $20 billion and took its top engineers. Now Groq is raising $650 million for what’s left.
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