High-Performance Computing

Multi-GPU Servers

Massively parallel processing power for AI inference, deep learning, and HPC workloads — configured to your exact requirements.

Multi‑GPU

Accelerated Computing

Purpose-built for AI, simulation, and data-intensive workloads where throughput and scalability are critical.

Overview

Performance Driven by Accelerator Density

In modern high‑performance computing and artificial intelligence, performance is increasingly driven by accelerator density and memory bandwidth rather than CPU cores alone. Whilst many workloads were traditionally carried out on the CPU, multi‑GPU servers now deliver significantly higher performance and efficiency by harnessing the parallel processing power of multiple graphics processing units (GPUs) working together.

With their massively parallel processing capabilities and exceptional memory bandwidth, GPUs are ideally suited to modern compute workloads where performance and scalability are critical. Multi‑GPU servers excel in scenarios requiring high‑throughput data processing, large‑scale AI inference, simulation, and workloads that can be efficiently distributed across multiple accelerators. By offloading these tasks from the CPU, GPU‑accelerated systems dramatically increase throughput and enable faster analysis across a wide range of demanding applications.

Hardware

Product Offering

Trustpilot
4U Multi‑GPU Server with 4 NVIDIA RTX PRO 6000 Blackwell GPUs

SKU: 5060959094968

£95,556.00 (inc VAT)

  • ASUS ESC8000A‑E13P 8‑GPU Chassis
  • Dual AMD EPYC 9455 – 48 Cores (3.15 / 4.4GHz)
  • ASUS ESC8000A‑E13P Integrated System Board
  • 4 x NVIDIA RTX PRO 6000 96GB Blackwell Server Edition
  • 384GB DDR5 RDIMM 5600MHz CL46 (12x32GB)
  • 2 x 512GB Innodisk Enterprise‑Grade NVMe M.2 SSD (Optimised for OS / Boot) Mirror
  • 3 x 3.84TB Micron 7500 PRO Enterprise NVMe SSD – PCIe Gen4 U.3, 1 DWPD RAID 5
  • Custom Rack Server CPU Heatsinks
  • 4 × 3200W Hot‑Swap Power Supplies (3+1 Redundant), 80 PLUS Titanium
  • Ubuntu Linux 24.04 LTS
Trustpilot
4U Multi‑GPU Server with 4 NVIDIA H200 NVL GPUs

SKU: 5060959094975

£193,356.00 (inc VAT)

  • ASUS ESC8000A‑E13X 8‑GPU Chassis
  • Dual AMD EPYC 9475F – 48 Cores, High‑Frequency (3.65 / 4.8GHz)
  • ASUS ESC8000A‑E13X Integrated System Board
  • 4 x NVIDIA H200 NVL PCIE 141 GB HBM3e
  • 768GB DDR5 RDIMM 5600MHz CL46 (24x32GB)
  • 2 x 512GB Innodisk Enterprise‑Grade NVMe M.2 SSD (Optimised for OS / Boot) Mirror
  • 3 x 3.84TB Micron 7500 PRO Enterprise NVMe SSD – PCIe Gen4 U.3, 1 DWPD RAID 5
  • 4 × 3200W Hot‑Swap Power Supplies (3+1 Redundant), 80 PLUS Titanium
  • Ubuntu Linux 24.04 LTS
Trustpilot
4U Multi-GPU Server with 8 RTX PRO 6000 Blackwell GPUs

SKU: 5060959094944

£161,556.00 (inc VAT)

  • ASUS ESC8000A‑E13P 8‑GPU Chassis
  • Dual AMD EPYC 9555 – 64 Cores (3.2 / 4.4GHz)
  • 8 x NVIDIA RTX PRO 6000 96GB Blackwell Server Edition
  • 768GB DDR5 RDIMM 5600MHz CL46 (24x32GB)
  • 2 x 512GB Innodisk Enterprise‑Grade NVMe M.2 SSD Mirror (Optimised for OS / Boot)
  • 3 x 3.84TB Micron 7500 PRO Enterprise NVMe SSD – PCIe Gen4 U.3, 1 DWPD RAID 5
  • 4 × 3200W Hot‑Swap Power Supplies (3+1 Redundant), 80 PLUS Titanium
  • Ubuntu Linux 24.04 LTS
Trustpilot
4U Multi‑GPU Server with 8 NVIDIA H200 NVL GPUs

SKU: 5060959094951

£359,856.00 (inc VAT)

  • ASUS ESC8000A‑E13X 8‑GPU Chassis
  • Dual AMD EPYC 9555 – 64 Cores (3.2 / 4.4GHz)
  • ASUS ESC8000A‑E13X Integrated System Board
  • 8 x NVIDIA H200 NVL PCIE 141 GB HBM3e
  • 1536GB DDR5 RDIMM 5600MHz CL46 (24x64GB)
  • 2 x 512GB Innodisk Enterprise‑Grade NVMe M.2 SSD (Optimised for OS / Boot)
  • 4 x 7.68TB Micron 7500 PRO Enterprise NVMe SSD – PCIe Gen4 U.3, 1 DWPD (RAID 5)
  • Custom Rack Server CPU Heatsinks
  • 4 × 3200W Hot‑Swap Power Supplies (3+1 Redundant), 80 PLUS Titanium
  • Ubuntu Linux 24.04 LTS

Why Multi-GPU

Key Benefits

High‑Throughput Performance

By distributing workloads across multiple GPUs within a single system, multi‑GPU servers deliver substantially higher throughput for AI inference, simulation, and data‑intensive workloads, reducing time‑to‑results for demanding computational tasks.

Enhanced Data Processing

Multi‑GPU architectures are well suited to data‑intensive workloads such as AI inference, analytics, and large‑scale data processing, enabling efficient handling of large datasets and complex processing pipelines.

Accelerated AI & Machine Learning

Multi‑GPU servers provide the compute density and memory bandwidth required for modern AI and machine learning workloads, supporting efficient training, fine‑tuning, and inference while reducing infrastructure bottlenecks.

Use Cases

Applications of Multi‑GPU Servers

Medical Research

Multi‑GPU servers accelerate data‑intensive medical research workloads by enabling faster analysis of large datasets and more efficient simulation-based modelling. This supports applications such as drug discovery, genomics research, and medical imaging, where compute throughput and scalability are critical.

Financial Modelling

Multi‑GPU servers support high‑throughput financial modelling workloads by parallelising compute‑intensive tasks such as risk analysis, portfolio optimisation, and scenario modelling, allowing institutions to evaluate complex models more efficiently.

Machine Learning, Deep Learning and Big Data Analytics

Multi‑GPU servers provide the compute density, memory bandwidth, and scalability required to support modern machine learning, deep learning, and data analytics workloads. This enables faster model training and efficient experimentation when working with large datasets and complex AI pipelines.

Punch Technology

Why Choose Punch Technology for Multi‑GPU Servers?

Expertise

We have extensive experience designing GPU‑accelerated systems for AI inference, machine learning, simulation, and HPC workloads, and we work closely with customers to configure platforms optimised for their specific performance and scalability requirements.

Reliability

Our multi‑GPU servers are built using validated, enterprise‑class components and undergo rigorous testing to ensure stability and reliability in production environments.

Scalability

Whether deploying a single multi‑GPU system or planning a larger AI infrastructure, our platforms are designed to scale across GPU count, memory capacity, storage, and networking as workload demands evolve.

Support

From initial consultation through deployment and ongoing support, our dedicated team works alongside you to ensure a smooth and reliable experience throughout the lifecycle of your system.

Experience the Power of Enterprise Multi‑GPU Computing

Whatever your application, our fully configurable multi‑GPU server portfolio enables you to select the right platform for your performance, scalability, and budget requirements. Our expert team is available to help you design and deploy a solution aligned with your workload today and scalable for the future.