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3XS EGX and MGX Custom AI Servers

Bespoke designs for AI training and inferencing

3XS EGX and MGX custom AI server for training and inferencing

AI Training & Inferencing Servers by 3XS Systems

3XS custom AI servers for training and inferencing are based on NVIDIA-certified EGX and MGX designs. Powered by NVIDIA professional PCIe GPUs, they provide data scientists and researchers with a flexible, cost-effective platform for scaling-out AI models.

Designed for datacentre environments, 3XS AI servers are fine-tuned by our hardware engineers and data scientists for maximum performance and reliability. We provide a custom software stack that means you spend more time on your model training and less time configuring drivers, libraries and APIs.

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NVIDIA professional PCIe GPU card for AI acceleration

Accelerated AI with NVIDIA GPUs

The choice and number of GPUs has the most impact on how long AI models take to train and inference. 3XS custom AI servers support up to eight NVIDIA GPUs for the ultimate in performance. Explore the range of NVIDIA GPUs in more detail below

GPU Comparison

RTX PRO Blackwell Server H200 NVL L40S RTX 6000 ADA L4
Architecture Blackwell Hopper Ada Lovelace Ada Lovelace Ada Lovelace
Bus PCIe 5 PCIe 5 PCIe 4 PCIe 4 PCIe 4
GPU (Chip) GB202 H200 AD102 AD102 AD104
CUDA Cores 24,064 16,896 18,176 18,176 7,680
Tensor Cores 752 5th gen 528 4th gen 568 4th gen 568 4th gen 240 4th gen
Memory (VRAM) 96GB GDDR7 141GB HBM3 48GB GDDR6 48GB GDDR6 24GB GDDR6
ECC Memory ✔ ✔ ✔ ✔ ✔
Memory Controller (Bit) 512-bit 5,120-bit 384-bit 384-bit 192-bit
NVLink Speed ✖ 900GB/sec ✖ ✖ ✖
TDP (Watts) 600W 600W 350W 300W 72W
Ubuntu Linux operating system logo Docker container platform logo TensorFlow AI and machine learning framework logo NVIDIA GPU Cloud (NGC) logo

AI-Ready Software Stack

3XS AI servers are provided with a custom software stack to speed up your AI training. This includes the latest Ubuntu operating system, Docker for creating, sharing and running individual containers on a single node and TensorFlow, a popular framework for building and deploying AI applications.

Powered by NVIDIA GPUs, 3XS AI servers are the perfect tool for unlocking the comprehensive catalogue of optimised software tools for AI and HPC provided in the NVIDIA GPU Cloud (NGC).

NVIDIA AI Enterprise software stack diagram showing AI frameworks, deployment layers and supported applications

NVIDIA AI Enterprise

NVIDIA AI Enterprise unlocks access to a wide range of frameworks that accelerate the development and deployment of AI projects. Leveraging pre-configured frameworks removes many of the manual tasks and complexity associated with software development, enabling you to deploy your AI models faster as each framework is tried, tested and optimised for NVIDIA GPUs. The less time spent developing, the greater the ROI on your AI hardware and data science investments.

Rather than trying to assemble thousands of co-dependent libraries and APIs from different authors when building your own AI applications, NVIDIA AI Enterprise removes this pain point by providing the full AI software stack including applications such as healthcare, computer vision, speech and generative AI.

Enterprise-grade support is provided, 9x5 with a 4-hour SLA with direct access to NVIDIA's AI experts, minimising risk and downtime, while maximising system efficiency and productivity. A three-year NVIDIA AI Enterprise license is included with 3XS AI workstations with A800 GPUs as standard. You can also purchase one, three- and five-year licenses with other GPUs.

View NVIDIA Architectures
Run:ai workload management diagram showing GPU resource scheduling and Kubernetes orchestration for AI workloads

Workload Management

Run:ai software allows intelligent resource management and consumption so that users can easily access GPU fractions, multiple GPUs or clusters of servers for workloads of every size and stage of the AI lifecycle. This ensures that all available compute can be utilised and GPUs never have to sit idle. Run:ai's scheduler is a simple plug-in for Kubernetes clusters and adds high-performance orchestration to your containerised AI workloads.

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PEAK:AIO AI-optimised storage appliance for high-throughput data access in AI and HPC environments

AI Optimised Storage

AI Optimised storage appliances ensure that your NVIDIA DGX systems are being utilised as much as possible and always working at maximum efficiency. Scan AI offers software-defined storage appliances powered by PEAK:AIO and further options from leading brands such as Dell-EMC, NetApp and DDN to ensure we have an AI optimised storage solution that is right for you.

Explore Storage Architectures
Rack-mounted GPU servers in a managed datacentre hosting environment

Managed Hosting Solutions

AI projects scale rapidly and can consume huge amounts of GPU-accelerated resource alongside significant storage and networking overheads. To address these challenges, the Scan AI Ecosystem includes managed hosting options. We've partnered with a number of secure datacentre partners to deliver tailor-made hardware hosting environments delivering high performance and unlimited scalability, while providing security and peace of mind. Organisations maintain control over their own systems but without the day-to-day admin or complex racking, power and cooling concerns, associated with on-premise infrastructure.

Solve Scaling Challenges

Select your 3XS EGX and MGX Custom AI Server

3XS AI servers are available in a range of base configurations that can be customised to your requirements.

Configuration 1 Configuration 2 Configuration 3 Configuration 4
3XS EGX AI server configuration 1 — 2U chassis supporting up to 4 NVIDIA PCIe GPUs with single AMD EPYC CPU 3XS EGX AI server configuration 2 — 2U chassis supporting up to 4 NVIDIA PCIe GPUs with dual Intel Xeon CPUs 3XS MGX AI server configuration 3 — 4U chassis supporting up to 8 NVIDIA PCIe GPUs with dual AMD EPYC CPUs 3XS MGX AI server configuration 4 — 4U chassis supporting up to 8 NVIDIA PCIe GPUs with dual Intel Xeon CPUs
GPUs Up to 4x NVIDIA PCIe cards Up to 4x NVIDIA PCIe cards Up to 8x NVIDIA PCIe cards Up to 8x NVIDIA PCIe cards
CPUs 1x AMD EPYC up to 128-cores 2x Intel Xeon up to 64-cores 2x AMD EPYC up to 128-cores 2x Intel Xeon up to 80-cores
Cooling Air / Water Air / Water Air / Water Air / Water
RAM Up to 1TB Up to 2TB Up to 3TB Up to 4TB
Storage Multiple SSDs Multiple SSDs Multiple SSDs Multiple SSDs
Networking NVIDIA Connect-X NICs or Bluefield DPUs up to 800Gb/s NVIDIA Connect-X NICs or Bluefield DPUs up to 800Gb/s NVIDIA Connect-X NICs or Bluefield DPUs up to 800Gb/s NVIDIA Connect-X NICs or Bluefield DPUs up to 800Gb/s
Form Factor 2U 2U 4U 4U
Get Expert AI Guidance

If you're still unsure of the best solution for your organisation, contact our team to discuss your projects or requirements and to arrange a free GUIDED PROOF OF CONCEPT TRIAL Alternatively, you can train AI models on any device via virtualised NVIDIA GPUs hosted on our SCAN CLOUD PLATFORM.

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