HPC Cloud Services

Professional HPC cloud solutions — cloud migration, hybrid architecture, managed HPC and cloud-native cluster services.

HPC Cloud Services

Running HPC workloads in the cloud is the fastest way to access high-performance computing power without hardware investment. Mevasis combines HPC engineering expertise with cloud platforms to deliver cloud migration, hybrid architecture, managed HPC and cloud-native cluster services end to end. We specialize in SLURM, Kubernetes and parallel file system configuration on AWS, Azure and Google Cloud.

Cloud HPC removes the wait time and capital cost of procuring on-premises hardware, letting researchers spin up cluster capacity in minutes and scale it back down when a project ends. This pay-as-you-go elasticity complements existing HPC investments.

Key Features

HPC Cloud Migration

We analyze your existing on-prem HPC workloads and design the target cloud architecture to match their performance and cost requirements. The migration is managed end-to-end, whether you choose a fast lift-and-shift or a full cloud-native re-architecture. Jobs and data move with minimal downtime.

Managed HPC

We handle SLURM management, storage monitoring, capacity planning and 24/7 support for your cloud HPC cluster after deployment. Our team owns the operational burden so your staff can focus on research work. Periodic reviews keep cost and performance aligned with your workload.

Hybrid Cloud Architecture

Automatic job distribution, or cloud bursting, moves overflow jobs between your on-premises clusters and the cloud when local capacity is exhausted. Users see a single SLURM scheduler and never need to know where their job runs. This delivers elastic capacity without losing operational simplicity.

Kubernetes-Based HPC

Cloud-native HPC workloads run on Kubernetes using SLURM or batch scheduling, giving you the flexibility of the container ecosystem. Containerized MPI and AI training jobs benefit from reproducible environments and rapid scaling. This suits teams already standardizing on cloud-native tooling.

Frequently Asked Questions

Yes. With a properly designed cloud architecture — VPC isolation, encryption at rest/in-transit, IAM policies and dedicated instances — on-prem security levels can be achieved. Hybrid models can also be configured to keep sensitive data on-premises.

For short-term or burst workloads, cloud is more economical (pay only for what you use). For continuously running full-capacity workloads, on-prem may be more advantageous long-term. Mevasis performs a feasibility study for both scenarios to determine the optimal cost model.

We offer HPC configuration and management on AWS (ParallelCluster, FSx for Lustre), Azure (CycleCloud, Azure HPC Cache) and Google Cloud (Batch, Filestore). We are proficient in each platform's HPC-optimized instance and storage options.

Yes. SLURM runs identically in cloud environments. You can submit jobs to cloud nodes without modifying your job scripts. In a hybrid scenario, a single SLURM controller manages both on-prem and cloud nodes.

Cloud architecture design, IaC deployment with Terraform, SLURM/Kubernetes configuration, storage integration, user training and 24/7 technical support. Cloud cost optimization and rightsizing services can be added optionally.

Let's Build Future Together.