Enterprise-grade AI infrastructure on the world's two largest clouds. H100, H200 and B300 GPUs — deployed by the hour, backed by 99.9% uptime SLA. No contracts. No minimums.
SScoreCompute gives you access to NVIDIA GPUs on both AWS and Azure — managed through a single platform. Switch freely. Pay only for what you use.
The infrastructure numbers that matter for serious AI workloads.
Three generations of NVIDIA hardware — all available on AWS and Azure through SScoreCompute.
Everything your AI team needs — nothing you don't. Powered by AWS and Azure.
Your AI workloads run on Amazon's proven cloud — the world's largest, most reliable infrastructure network.
Enterprise compliance, OpenAI integration, and Azure's global AI ecosystem — ready for production from day one.
GPU instance running in under a minute. No approval queues, no manual setup, no waiting for capacity.
Enterprise-grade reliability backed by AWS and Azure infrastructure. Your AI never sleeps, and neither does ours.
Pay per hour. Stop anytime. No lock-in, no annual commitments. Scale up or down instantly based on your needs.
Switch between AWS and Azure freely through one platform. Run workloads where they perform best — you stay in control.
GPU utilization, memory bandwidth, cost tracking — live metrics streamed directly to your SScoreCompute dashboard.
REST API, Python SDK, Terraform provider. Integrate GPU provisioning into any CI/CD pipeline or MLOps workflow.
On-demand for critical jobs, spot instances for training at up to 70% cost reduction. Automatic failover included.
CAD-denominated pricing. No hidden fees. No egress charges. Pay exactly what you see.
Select GPU, cloud provider, and duration to get a live cost estimate in CAD.
From research to production — if it needs GPU compute, SScoreCompute runs it on AWS or Azure.