GPU demand is exploding but running it well is hard and expensive.

Cloudelligent’s HPC/GPU Activator matches each of your workloads to the right compute pattern, EKS + vLLM for self-hosted LLM inference, ParallelCluster for tightly-coupled HPC and training, or AWS Batch for parallel GPU jobs, and builds it as Infrastructure-as-Code in your own AWS account. In 3 weeks, our team profiles your workloads, stands up the networking, storage, and IAM foundations, deploys and tunes the platform, and hands over a benchmark, runbook, and cost playbook, so you walk away with a working system, not just a recommendation.

Download our Solution Brief to learn how to:

• Cut compute costs by up to 90% with EC2 Spot for interruption-tolerant GPU work
• Run AWS vLLM Deep Learning Containers at no added cost, with model weights loading from S3 to GPU in seconds
• Get a working HPC/GPU platform live in your AWS account in 3 weeks