Empowering the next billion software creators
Replit used Databricks Training infrastructure to build its own multi-billion parameter code-completion LLM from scratch, scaling up to 256 GPUs and launching the model in under a week to meet an accelerated product deadline. The model powers Replit's AI suite, which completes, explains and transforms code for its 25 million platform users, and Databricks Training reduced Replit's total cost of ownership for deploying the code-generation LLM.
Overview
Replit used Databricks Training infrastructure to build its own multi-billion parameter code-completion LLM from scratch, scaling up to 256 GPUs and launching the model in under a week to meet an accelerated product deadline. The model powers Replit's AI suite, which completes, explains and transforms code for its 25 million platform users, and Databricks Training reduced Replit's total cost of ownership for deploying the code-generation LLM.
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Inspect the highlighted sourceThe challenge
As experienced AI engineers, Replit knew they needed to train their own specialized model for code completion, but they faced the challenge of assembling an end-to-end training infrastructure. They wanted a tool that could abstract away hardware complexity and let the team focus on differentiators like fine-tuning on Replit code, rather than building infrastructure from end-to-end.
The solution
Replit used Databricks Training to build its own code completion model from scratch in less than a week. The team experimented with smaller models before gradually scaling up to 256 GPUs just a week before launch, conducting a "YOLO" run of its LLM and launching the code completion model in time for its developer day.
Reported business value
Replit's AI suite completes, explains and transforms code for a platform with a current user base of 25 million, automating routine tasks and enhancing code quality. Databricks massively increased the productivity of Replit's AI engineers, driving faster time to market and lowering the total cost of ownership for deploying their code generation LLM with speed, reliability and full governance.
Sources
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