
The solution delivers 1,800 tokens per second for the Llama 3.1 8B model and 450 tokens per second for the Llama 3.1 70B model.
The solution delivers 1,800 tokens per second for the Llama 3.1 8B model and 450 tokens per second for the Llama 3.1 70B model.
With UAE and China racing through with launching vernacular-based LLMs, where does India stand in the AI race?
Following in the footsteps of AMD and Cerebras, Tenstorrent aims to challenge chip giant NVIDIA with its recent $100 million investment from Hyundai and Samsung
While OpenAI apparently utilised 10,000 NVIDIA GPUs to train ChatGPT, Cerebras claims to have trained their models to the highest accuracy for a given compute budget.
VCs have been banking on generative AI companies, but what is their real moat?
A single CS-2 system can support models up to 120 trillion parameters.
Two years ago, Cerebras challenged Moore’s Law with the Cerebras Wafer Scale Engine (WSE).
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By accelerating AI compute, the Cerebras WSE eliminates the main impediment to the artificial intelligence innovation, by reducing the time it takes to train models from months to minutes and
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