HIGH PERFORMANCE COMPUTING
Accelerate Discovery. Power Innovation With HPC Clusters.
Tuwa Solutions designs, deploys, and manages high performance computing clusters that deliver exceptional speed, scalability, and reliability for compute-intensive workloads.
Extreme Performance
Massive Scalability
High Availability
Optimized Efficiency
Empowering Global Tech Leaders
What Is HPC Clusters?
High Performance Computing Clusters Built for Breakthroughs.
High performance computing solutions give researchers and engineers computing power that ordinary servers cannot: clusters of interconnected compute nodes — many with GPUs — working in parallel on simulations, modeling, data analysis and AI workloads, with fast interconnects, parallel storage and schedulers that share the capacity fairly. The result is answers in hours instead of weeks.
Tuwa Solutions designs, builds and manages HPC clusters from West Windsor, New Jersey, for organizations across Central New Jersey, the New York Tri-State area and beyond. Clusters are only half the story — the workloads that run on them are increasingly AI, which is why our HPC practice works directly alongside our AI engineering team.
Every cluster is designed around your codes: compute, memory, interconnect and storage balanced for the workloads you actually run — not a generic parts list.
And the cluster is managed as a living system: monitored, tuned and expanded as your research and workloads grow, so capacity never becomes the bottleneck.
10,000+
Compute Cores Deployed
80%
Faster Time to Results
50%
Lower Cost per Computation
WHAT WE OFFER
Comprehensive HPC Cluster Solutions
HPC Cluster Design & Architecture
Cluster architecture designed around your workloads — compute, memory, interconnect and storage balanced for the codes you actually run, not a generic parts list.
High Performance Compute Nodes
CPU and GPU compute nodes selected for maximum useful density — the right accelerators for simulation, modeling and AI training workloads.
High-Speed Interconnects
InfiniBand and high-speed Ethernet fabrics that keep nodes communicating at low latency, so parallel jobs scale instead of stalling on the network.
Parallel File Systems & Storage
Parallel file systems and tiered storage sized for HPC I/O — fast scratch space for active jobs, durable capacity for datasets and results.
Workload Management & Scheduling
Workload orchestration with Slurm, PBS and similar schedulers — queues, priorities and fair sharing configured so teams get predictable access to the cluster.
Monitoring & Performance Tuning
Continuous monitoring, profiling and tuning of nodes, fabric and storage, so bottlenecks are found and fixed before they waste compute time.
Security & Access Control
Secure authentication, role-based access and compliance-ready environments — multi-team clusters where every group's data and jobs stay properly separated.
Scalability & Future Expansion
Capacity that scales seamlessly: nodes, GPUs and storage added as your research and business grow — planned into the architecture from day one.
OUR HPC IMPLEMENTATION PROCESS
From Strategy to Supercomputing
01
Discover
We understand your research, workloads and objectives — the codes and data the cluster must serve.
02
Design
We architect the ideal HPC cluster for your needs — nodes, fabric and storage balanced.
03
Deploy
We build and deploy your cluster with precision — installed, configured and benchmarked.
04
Optimize
We optimize performance and ensure efficiency — profiling real jobs, not synthetic numbers.
05
Support
We provide ongoing support and scale the cluster as you grow.
INDUSTRIES WE SERVE
Cloud Solutions for Every Industry
Why Choose Tuwa Solutions?
Your Trusted HPC Cluster Partner
Experienced HPC Architects & Engineers
Certified experts delivering reliable and high-performance HPC infrastructure tailored to your workloads.
Proven Deployments Across Industries
Successful HPC implementations across research, healthcare, finance, engineering, and enterprise sectors.
Optimized for Performance & Efficiency
Engineered for faster processing, lower latency, and maximum resource utilization.
End-to-End Support from Design to Scale
Complete lifecycle support from planning and deployment to optimization and ongoing management.
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FREQUENTLY ASKED QUESTIONS
HPC Questions, Answered.
Compute capacity decides how fast research moves. When a simulation takes weeks, the questions get smaller; when it takes hours, they get bigger. Tuwa Solutions designs and manages HPC clusters from West Windsor, New Jersey, so capacity stops being the constraint.
Design follows your codes, not a catalog: node types, GPU selection, interconnect and storage are balanced against the workloads you actually run, benchmarked before sign-off, and documented for your team.
HPC increasingly means AI infrastructure: the same clusters train the models built by our AI engineering team, run on infrastructure deployment foundations, and stay tuned through continuous monitoring.
Owned, cloud, or hybrid — the architecture follows your utilization and your budget, and expands in planned steps instead of forklift replacements.
Computationally heavy work that ordinary servers handle too slowly: engineering simulation (CFD, FEA), scientific research, genomics, financial modeling, rendering and training AI models. If a job runs for days on a workstation, it is an HPC candidate.
It depends on the workload. Codes that parallelize well — many simulations and most AI training — gain enormously from GPUs; others are CPU- and memory-bound. The design phase matches node types to your actual codes and data.
Steady, heavy utilization usually favors an owned cluster on cost; bursty or occasional demand can favor the cloud. Many organizations end up hybrid — a core cluster on-premises, overflow in the cloud — and we design for either.
Slurm and PBS are the common choices, and we configure queues, priorities and fair-sharing policies around how your teams actually work, rather than leaving defaults in place.
Yes. We assess the current cluster — hardware, fabric, storage, scheduler configuration and utilization — then expand capacity or tune what you have, in whichever order the evidence supports.
Cost is driven by scale: node count and type, GPU selection, interconnect and storage capacity. That is why the design phase comes first — we architect against your workloads and budget, then quote the build.
It depends on scale and hardware lead times: the design phase produces the architecture and a schedule with procurement milestones, and clusters are benchmarked and validated with your codes before handover.
