NVIDIA EGX Servers for Rendering and vGPU Workloads

Bespoke Server Solutions for Pro Graphics

High Performance Pro Graphics Solutions

Using a custom-built server to deliver virtual (vGPU) and rendering workloads gives you the ultimate control. Not only in that you can choose the ideal specification for your needs but also in that you can build in flexibility as required. A system can be configured so that no resources are under utilised, or a larger chassis can be partially populated at purchase leaving space for scaling at a later date. The choice is yours.

Every 3XS Pro Graphics EGX server is almost infinitely configurable from accelerator cards to CPUs, memory to storage, right through to connectivity, power, cooling and software - all from the market leading component brands listed below.

NVIDIA GPU Accelerators

The NVIDIA Ampere family of GPU accelerator cards represents the cutting edge in performance for all professional graphics workloads, offering unprecedented compute density and flexibility. There are a number of models that excel at both datacentre graphics such as centralised rendering functions and virtual workstation platforms such as NVIDIA vWS and Omniverse, whereas some others are optimised for delivering basic VDI such as NVIDIA vPC.

Rendering and vGPU (vWS)

A40 PCIe Gen 4

A10 PCIe Gen 4


A16 PCIe Gen 4

Tesla T4 PCIe Gen 3

Virtualised GPUs

Virtual GPU (vGPU) solutions offer the ability to unleash the power of GPU at you team of creators without the need for high powered workstations under each desk. This offers a more flexible solution for remote workers, mobile workers or widely distributed teams. Depending on the requirement of graphical capability there are a number of vGPU options that can be delivered from a central server infrastructure.


NVIDIA Virtual Compute Server (vCS)

NVIDIA vCS provides the ability to virtualise GPUs and accelerate compute-intensive server workloads, including AI, Deep Learning, and HPC.


NVIDIA RTX Virtual Workstation (vWS)

Designers and engineers working with increasingly complex models can work more efficiently, collaborate across geographies, and bring their creations to market more quickly with NVIDIA vWS.


NVIDIA Omniverse

NVIDIA Omniverse is a powerful multi-GPU real-time simulation and collaboration platform for 3D production pipelines based on NVIDIA RTX technology and building on vWS capabilities.



Workers who use graphics intensive applications and often multitask across dual monitors can leverage NVIDIA vPC to scale VDI deployments with a consistently appealing user experience.



Our Cloud Rendering service, powered by NVIDIA GPU accelerators provides rapid remote rendering without having to invest in your own servers and infrastructure to support them.

Host CPUs

Either AMD EPYC or Intel Xeon Scalable processors can be chosen when designing your server. Both, now in their 3rd Generation offer expansive ranges of models delivering performance for every budget - all supporting PCIe 4.0 with 64 lanes. Additionally EPYC P-series processors allow for single socket configurations where GPU acceleration will be the primary server use, making a server as cost-effective as possible.

amd epic cpus
intel xeon cpus

System Memory

Depending on the type of workload, a large amount of system memory may have less or more relevance than GPU memory, but with a custom training server memory capacity can be tailored to your needs. Additionally, a bespoke server allows for simple future memory expansion is required.NVIDIA recommends at least double the amount of system RAM as GPU RAM, so high-end systems may scale into the TBs. Additionally Intel Xeon based servers can make use of a combination of traditional DIMMs and Intel Persistent Optane Memory DIMMs, allowing a flexible solution addressing performance, fast caching and extra storage capacity.

samsung memory servers

Internal Storage

Storage within a training server is also a very personal choice - it may be that a few TB of SSD capacity are enough for datasets for financial organisations where a large volume of files is still relatively small. Alternatively, image-based datasets may be vast, so there is never any real option of using internal storage and a separate fast flash storage array is the way to go. If this is thecase, internal SSD cost can be minimised and this remaining budget used elsewhere. Flexibility and performance can also be gained by choosing M.2 formats, NVMe connectivity or Optane options. as required.



Depending on whether connectivity is needed to a wider network, or an external flash storage array, networking interfaces and speeds can be customised to suit. Ethernet or Infiniband options are available up to 400Gb/s in speed, both providing powerful CPU offloading to maximise performance, and minimise latency.

Additionally, advanced NVIDIA BlueField Data Processing Unit (DPU) NICs can be specified where the highest performance is required, as these cards not only include networking functionality but also accelerate software management, security and storage services by offloading these tasks from the CPU.



From 2U compact servers up to 4U expandable systems, chassis choice is key dependant upon whether space saving is the key factor or scalability is required. As a custom server can be partially populated, a larger chassis can be chosen with a view to expandability in the future. Additionally, both air cooled and liquid cooled server systems are available.


Our intuitive online configurators provide complete peace of mind when building your training server - alternatively speak directly to one of our friendly system architects.