Case Study: Meshy accelerates 3D AI innovation with Lambda’s on-demand NVIDIA H100 GPU clusters

A Lambda Case Study

Preview of the Meshy Case Study

How Meshy advanced artistic innovations with Lambda's 1-Click Cluster

Meshy, a company specializing in generative AI for 3D model generation, faced the challenge of maintaining its industry leadership in a highly competitive space. They struggled to access the immense, on-demand computational power of interconnected NVIDIA H100 GPU clusters needed for rapid experimentation. Their previous cloud provider's rigid, reserved-instance model slowed their R&D, forced them to pay for idle GPUs, and offered inadequate support, which threatened their ability to innovate quickly.

By adopting Lambda's 1-Click Cluster (1CC) service, Meshy gained immediate, flexible access to the necessary GPU clusters on a week-to-week basis. This solution from Lambda sped up their research and development turnaround time by 2x, cutting experimentation time from months to weeks and enabling the rapid launch of Meshy-4. Furthermore, Lambda's responsive support, with an average 20-minute response time via Slack, ensured operational uptime and allowed Meshy to continuously improve their models and solidify their market-leading position.


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Meshy

Ethan (Yuanming) Hu

Chief Executive Officer


Lambda

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