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RecursionThe customer this was delivered for.Action CenterSave this case, request the same outcome from Tribe AI, share it, or get in touch.

Achieved 35% GPU Efficiency and 10x Throughput, Delivered $2.8M Value

Recursion, a clinical-stage TechBio company, faced performance bottlenecks in its BioHive supercomputing infrastructure supporting AI-driven drug discovery. The organization needed to improve GPU utilization efficiency while increasing throughput for research workloads. It also sought to reduce compute costs and shorten research cycles. Recursion partnered with an external team to optimize its BioHive environment for AI workloads. A team of 4 elite ML engineers worked on GPU optimization, distributed training, and memory management. The implementation focused on improving how training jobs used hardware and scaled across the supercomputing infrastructure. The engagement delivered measurable performance and cost outcomes. GPU utilization efficiency improved by 35%, and throughput increased by 10x. The work generated $2.8M in annualized value through reduced compute costs and faster research cycles.

Delivered by

Tribe AI

RecursionThe customer this was delivered for.Action CenterSave this case, request the same outcome from Tribe AI, share it, or get in touch.

Achieved 35% GPU Efficiency, 10x Throughput, and $2.8M Annualized Value

Recursion, a clinical-stage TechBio company, faced performance bottlenecks in its BioHive supercomputing infrastructure supporting AI-driven drug discovery. The organization needed to improve GPU utilization while increasing overall training throughput. It also encountered challenges in distributed training and memory management that limited research velocity and raised compute costs. A team of 4 ML engineers was deployed to optimize BioHive for AI workloads. The work focused on GPU optimization to raise utilization and reduce waste. The implementation also addressed distributed training and memory management issues to improve end-to-end system performance. The engagement improved GPU utilization efficiency by 35%. It increased throughput by 10x, accelerating AI-driven research cycles. It also delivered $2.8M in annualized value through reduced compute costs and faster research.

Delivered by

Tribe AI