Case Study: poolside deploys 2,500+ GPUs in 48 hours with Fluidstack

Fluidstack helped poolside deploy 2,500+ GPUs within 48 hours

poolside, a company building AI for software development, required high-performance GPU compute with immediate availability and agile deployment to support its AI workloads. Existing cloud providers offered slow lead times, inflexible commitments, and performance not optimized for AI. To overcome these challenges, poolside partnered with the AI cloud platform Fluidstack.

Fluidstack deployed a cluster of over 2,500 GPUs for poolside within 48 hours of signing. The solution included 24/7 engineering support, performance optimization, and a transparent, cost-effective pricing model. This allowed poolside to accelerate its market entry, enhance its model optimization through rapid scaling, and achieve significant cost savings, enabling the company to focus on product development.

Poolside

Jason Warner

Chief Executive Officer