Purpose-built compute

CPU & GPU Servers

Validated platforms for HPC, AI, and data-intensive workloads

ADS integrates CPU and GPU server platforms around your application profile — core count, memory bandwidth, accelerator density, fabric, local storage, power, and cooling — then validates the complete configuration before delivery.

Vendor-agnostic sourcing lets the architecture follow the workload rather than a single manufacturer’s catalog.

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50+

Years combined HPC expertise

100%

Focus on technical computing

1000s

Systems deployed

1

Vendor for integrated support

Compute Portfolio

CPU and GPU Platforms Tuned for the Job

From high-core-count simulation nodes to dense accelerated systems, ADS selects the platform, memory, networking, and software stack that best fits the workload.

CPU COMPUTE

High-Core-Count & Large-Memory Servers

Scalable x86 and ARM platforms for simulation, genomics, EDA, analytics, and other workloads that depend on core density and memory bandwidth.

GPU ACCELERATION

Dense AI & Accelerated Compute Servers

NVIDIA-based systems for AI training, inference, molecular dynamics, seismic workloads, and massively parallel applications.

Deployment Options

Choose the Right Form Factor

Density, power, cooling, serviceability, and deployment speed are treated as architecture inputs — not afterthoughts.

Standard Rack Servers

Flexible 1U–4U platforms for traditional data-center deployments, with hot-swap components and broad OEM choice.

Direct Liquid & Hybrid Cooling

High-density cooling options for modern GPU clusters, including direct-to-chip and hybrid designs for facilities with constrained airflow.

Integrated AI Factory PODs

Pre-integrated compute, storage, network, and cooling delivered as a validated platform to shorten time to production.

Vertical Expertise

Built for the Workload

ADS maps server architecture to the application, not simply to a benchmark.

Life Sciences & Genomics

Genome assembly, variant calling, molecular dynamics, and protein workflows with high memory and I/O demands.

AI Training & Inference

Multi-GPU systems for large models, computer vision, multimodal AI, and inference at scale.

Government & National Labs

High-performance infrastructure for research, defense, and national-lab environments.

Higher Education Research

Shared CPU and GPU clusters designed to balance performance, budget, and operational simplicity.

Computational Simulation

MPI-optimized platforms for climate, CFD, FEA, quantum chemistry, and engineering simulation.

Data Analytics & HPC Storage

Compute and data-path design that keeps processors fed across high-throughput analytics pipelines.

Why Applied Data Systems

More Than a Hardware Quote

Workload-Driven Requirements

System recommendations start with application behavior, concurrency, memory, I/O, network, and growth requirements.

Fully Integrated & Validated

Hardware and software are configured, tested, and optimized before shipment.

Vendor-Agnostic Selection

ADS can select across Dell, Lenovo, Gigabyte, Supermicro, and other manufacturers to achieve the best fit.

Full-Stack Balance

Compute, fabric, storage, power, and cooling are sized together to avoid expensive bottlenecks.

Single Point of Support

ADS coordinates support across the delivered solution rather than pushing customers between component vendors.

Long-Term Partnership

Architecture, deployment, support, and expansion are treated as a lifecycle rather than a one-time transaction.

Build the Right Compute Platform

Ready to Size Your CPU or GPU Infrastructure?

Talk with an ADS HPC specialist about your workload, facility limits, budget, and deployment schedule.

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Applied Data Systems

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