How a Computer Vision company was able to scale their production needs while reducing their associated cloud-spend by 93%.

How a video infrastructure company was able to serve their rapidly growing user-base while maintaining the lowest costs in the industry by Right-Sizing their workloads and reducing their transcoding infrastructure costs by 63%.

How a Computational Chemistry Company was able to scale their batch processing platform by Right-Sizing their workloads and accessing GPUs at scale on-demand while reducing their associated cloud-spend by 84%.