According to a recent LinkedIn post from Baseten, the company’s platform now supports Poolside’s Laguna XS.2 and Laguna M.1 agentic coding models. The post highlights that Laguna XS.2 is live with built-in inference optimizations, while Laguna M.1 is positioned as Poolside’s most capable model currently available on the service.
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The post suggests Baseten is emphasizing its inference stack, optimized low-latency serving, and production-grade infrastructure to attract teams aiming to deploy these models in production environments. For investors, this may indicate a strategic push to deepen Baseten’s role in the AI developer ecosystem and capture workload from enterprises adopting advanced code-generation models.
By enabling rapid deployment of open-weight models, Baseten appears to be targeting organizations that prefer flexible model hosting rather than closed, proprietary systems. This approach could support recurring infrastructure and platform revenue, while strengthening Baseten’s competitive position among MLOps and inference-platform providers focused on generative AI workloads.
The integration of Poolside’s models may also signal potential growth in enterprise use cases such as automated software development, code maintenance, and developer productivity tools. If adoption scales, Baseten could benefit from increased usage-based revenues and higher switching costs for customers building critical workflows on its infrastructure.