How Fal Scaled Training  & Inference With Lambda

The open-source community has driven innovation in generative AI. fal, a pioneering company, aimed to build an open-source model but faced challenges accessing NVIDIA GPU resources.

To address this, fal used Lambda's 1-Click Cluster (1CC) solution, providing on-demand scalable NVIDIA GPU clusters. This enabled fal to quickly experiment, iterate, and release new versions of their AuraFlow model in weeks instead of months. Lambda's infrastructure also helped fal capture new revenue streams by developing custom AI solutions.

Read the full case study to learn how fal's partnership with Lambda accelerated their time-to-market and solidified their leadership in the open-source image generation community.

Vendor:: NVIDIA and Lambda
Posted:: Dec 3, 2024
Published:: Dec 4, 2024
Format:: PDF
Type:: Case Study

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How Fal Scaled Training & Inference With Lambda

Download this Case Study!

How Fal Scaled Training  & Inference With Lambda