8 GPUs to 2… Nota Lowers Enterprise AX Costs by Lightening Ultra-Massive AI

Nota has optimised Solar Open 2, a 250-billion-parameter language model, reducing GPU memory requirements from 8 H100s to 2 whilst maintaining tool-calling performance through quantization and pruning techniques. The model weight shrunk by 76.5% (500.6GB to 117.8GB), lowering the infrastructure cost threshold for enterprise AI deployment.

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