Case Study: SambaNova Systems achieves scalable LLM evaluation and visibility with Weights & Biases

SambaNova Systems achieves 3x faster DeepSeek inference with Weights & Biases

SambaNova Systems, a leader in AI infrastructure, needed to enhance its LLMOps capabilities to better track and measure the performance of large language models for its clients. While already using Weights & Biases for model training visibility, they sought a solution for gaining insights into LLM inference workloads, including usage, latency, and token generation.

By adopting Weights & Biases' Weave product, the team gained a unified view of their AI workloads. This allowed them to build a custom evaluation system and create the SambaNova Evaluation Jumpstart Kit, which enables customers to benchmark multiple LLMs for speed, cost, and accuracy. The solution provides comprehensive metrics and visualizations, helping users make informed trade-offs and ensure their AI applications are both accurate and cost-effective.

SambaNova Systems