Modality is now part of We Ankor
Modality helps organizations design, deploy, and support high-performance computing (HPC) environments on AWS. We work with AI teams, research groups, and engineering departments to build scalable HPC workflows that meet the needs of compute-intensive projects such as machine learning training, simulations, and parallel processing.
Get support for your AWS HPC environmentOn-premises HPC systems are often expensive to maintain, difficult to scale, and limited in flexibility. Cloud-based HPC on AWS provides an alternative that enables teams to access powerful compute resources when they need them—without long hardware procurement cycles or idle infrastructure between workloads.
Access to elastic compute and storage with no upfront capital
Scale clusters on demand to match workload requirements
Run workloads across multiple availability zones or regions
No physical infrastructure maintenance or hardware refresh cycles
Pay-as-you-go billing aligned with usage patterns
Cloud HPC enables teams to test, train, and run large workloads with consistent performance and lower operational overhead.
Modality supports teams deploying HPC on AWS with a focus on automation, workload optimization, and resource management. We specialize in designing environments for technical workloads that need high throughput, large memory capacity, or GPU acceleration.
We provide hands-on support and best-practice guidance to ensure HPC environments are secure, predictable, and cost-aware.
High-performance computing is critical for many AI workloads—especially those involving large models, multiple GPUs, or long training times. Modality works with AI teams to run distributed ML workloads on AWS with consistent performance.
We help optimize job distribution, manage instance pools, and monitor training performance across clusters.
For organizations with existing HPC infrastructure on-premises, Modality supports a structured migration to AWS. We guide teams through readiness assessments, cost modeling, data movement, and deployment in a cloud-native or hybrid configuration.
Our experience with HPC migrations helps reduce downtime, preserve application compatibility, and ensure smooth transitions from physical data centers.
HPC clusters require coordination across job queues, compute nodes, file systems, and networking. Modality provides managed support for AWS HPC environments to ensure stable operation and performance alignment.
We focus on reducing operational burden so technical teams can concentrate on their work, not infrastructure administration
A machine learning team needed to accelerate training for a new NLP model that required multi-node GPU clusters and high-throughput storage. Using Modality’s guidance, the team deployed an HPC environment on AWS with the following setup.
The result was a 4x reduction in model training time and significant cost savings by using Spot Instances and automated shutdown for idle nodes.
Within just two months of collaboration, Modality helped us cut our AWS spending by 50% while improving security and performance. Their ongoing support and hands-on guidance made a real difference to our internal team and cloud operations.
Modality has transformed the way we manage our AWS cloud. The team is responsive, proactive, and ensures we are always cost-optimized and performance-ready
Since partnering with Modality, our AWS environment is stable, cost-optimized, and continuously monitored. Their expert support and FinOps tools give us the confidence to scale without overspending.
Whether you’re planning a new HPC deployment, scaling AI workloads, or migrating from on-prem infrastructure, Modality can help you architect and support a high-performance environment on AWS.
