Case Study: Scaled Cognition recovers 3–4 months of research time with Together AI GPU Clusters

A Together AI Case Study

Preview of the Scaled Cognition Case Study

Scaled Cognition cuts training costs ~50% and recovers 3–4 months of research time with Together AI

Scaled Cognition, a company building frontier Large Action Models (LAMs) for enterprise customer experience, faced significant infrastructure challenges. Their custom training workflows required reliable bare-metal GPU access, but they experienced frequent failures and high costs with other providers, which cost them months of research time. They turned to Together AI for a solution.

By using Together AI's GPU Clusters with direct H200/B200 access, Scaled Cognition gained the high-performance, bare-metal infrastructure needed for their Slurm orchestration and multi-node training. The solution from Together AI enabled them to recover an estimated 3-4 months of lost research time and achieve approximately 50% cost savings compared to other providers, allowing them to successfully deploy their APT-1 model in production.


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