Open model, open metrics: How Lambda and the Olmo team trained Olmo Hybrid
Open-source models are now one of the main engines of progress in AI. When strong models like Nemotron, Llama 3.1, and Qwen3-Next are released openly, the ...
Lambda’s multi-cloud blueprint for high-performance AI infrastructure
The rapid growth of AI and ML workloads is reshaping enterprise infrastructure architecture. As demands increase, technical teams must accelerate model ...
MLPerf Training v5.1: Lambda’s NVIDIA GB300 NVL72 outperforms NVIDIA GB200 NVL72 by 27%
Training large language models (LLMs) takes massive compute power, making it critical for AI teams to understand and optimize performance across their systems. ...
Lambda and Cologix debut NVIDIA HGX B200 AI clusters in Columbus, Ohio
AI infrastructure is no longer confined to the coasts. With Lambda’s one-click clusters, Supermicro’s energy-efficient systems, and Cologix’s carrier-dense ...
Building the Aggregated Edge for Sovereign AI
In this podcast of Shared Everything, Nicole Hemsoth Prickett from Vast Data speaks with Ken Patchett, VP of Data Center Infrastructure at Lambda, about the ...
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