XENON NITRO™ Workstations
The XENON NITRO™ Workstations are optimised for applications that require GPUs, and NITRO workstations are used across architecture, design, media and entertainment, scientific research, artificial intelligence, data science and data analytics applications. There are such a wide range of applications now leveraging GPU acceleration.
NITRO™ Workstations uniquely support all NVIDIA GPUs including GeForce, Quadro RTX, Ampere and Ada series. GPUs from AMD and Intel can also be added to the right system.
Browse our standard configurations below, discuss with our team your GPU requirements, and start building a powerful NITRO™ Workstation tailored to perform for your specific workloads.
- Entry Level – C series see options and descriptions below.
- Mid-range – E series see options and descriptions below.
- High-end – T and Z series see options and descriptions below.
NITRO™ C110
Powered by an Intel® Core™ Processor Family, the NITRO™ C110 is an exceptional and cost-effective workstation with server-grade reliability. Supports the latest selection of GPUs to boost productivity, creativity and power to handle the most demanding graphical and engineering applications.
Use Cases/Applications:
- Engineering, Design, Architecture & MPD: Ansys, AutoCAD, Revit, Solidwork, 3D Modelling, Real-Time Engine,
- CPU: Supports both Intel® 12th/13th Generation Intel® Core™ Processors.
- Memory: Up to 128GB RAM
- M.2 Interface: 3 PCIe 4.0 x4 (RAID 0, 1, 5) M.2 Form Factor: 2280 M.2 Key: M-Key
- PCIe: 2 PCIe 5.0 x16 slots (16/NA or 8/8), 2 PCIe 3.0 x4 1 5V PCI 32bit
- GPU: Supports up to 1 x double slot GPU cards
- Networking: 1x 1GbBaseT, 1x 2.5GbBaseT
- PSU: 1200W Gold Power Supply
NITRO™ E310
Powered by an Intel® Xeon® Scalable processor, the new NITRO™ E310 workstation supports the most demanding workloads across product design and engineering simulation and features enhanced cooling fans and more powerful PSU.
Use Cases/Applications:
- AI Training
- Engineering, Design, Architecture & MPD: Ansys, AutoCAD, Revit, Solidwork, 3D Modelling, Real-Time Engine, Rendering, Nvidia Omniverse
- Scientific: Relion Cryo-EM, Amber, Gromacs, LAMMPS, NAMD, Schrödinger MD
- CPU: Socket E (LGA4677) support Intel® Xeon® W-3400 series and Xeon® W-2400 series processors
- Memory: up 4TB RAM (W-3400)/2TB (W-2400)
- M.2 Interface: 4 PCIe 5.0 x4
- Drives: Intel® W790 controller for 8 SATA3 (6 Gbps) ports; RAID 0, 1, 5, 10
- GPU: Supports up to 2 x double slot GPU cards
- Networking: 1x 1GbBaseT, 1x 10GbBaseT
- PSU: 1200W Platinum Power Supply
NITRO™ E315 - 1xPSU or 2xPSU
Powered by an AMD Ryzen™ Threadripper™ Processor, the NITRO E315 brings advanced computing power to a workstation form factor. The E315 can tackle the most demanding graphical and engineering applications challenges.
This new NITRO generation of workstations are built with additional power and cooling to support larger GPUs, and have server level redundancy with dual power supply units and multiple data storage options.
Use Cases/Applications:
- AI Training
- Engineering, Design, Architecture & MPD: Ansys, AutoCAD, Revit, Solidwork, 3D Modelling, Real-Time Engine, Rendering, Nvidia Omniverse
- Scientific: Relion Cryo-EM, Amber, Gromacs, LAMMPS, NAMD, Schrödinger MD
Both 1x PSU and 2x PSU feature:
- CPU: AMD Ryzen™ Threadripper™ PRO 5000WX Series Processor, up to 64 Cores
- Memory: 8 DIMMs; up to 2TB Registered ECC DDR4 3200-MHz Memory
Single Power Supply Model Features:
- Storage Bays: 4x Removable 3.5″/2.5″ SATA drive bays (Software Raid 0,1,5 & 10), 4x M.2 ((Software RAID 0,1,5,10)
- Networking: 1x 10GbBaseT, 1x 1GbBaseT (Share with IPMI)
- GPUs: Up to 2x double width, full length GPUs
- PSU: 1200W Platinum Power Supply
Dual, Redundant Power Supply Model Features:
- Storage Bays: 4x Removable 3.5″/2.5″ SATA drive bays (Software Raid 0,1,5 & 10), 4x M.2 ((Software RAID 0,1,5,10)
- Networking: 2x 10GbBaseT, 1x 1GbBaseT & 1 x 10/100/1000 management LAN
- GPUs: Up to 4x double width, full length GPUs
- PSU: Dual 2000W Platinum Power Supplies
NITRO™ Z510
Powered by Dual Intel® Xeon® Scalable processors, the NITRO™ Z510 is a high performance Tower/5U Rackmount AI GPU Workstation with Dual Processor (4th Gen Intel® Xeon®). The Z510 supports multiple GPUs and provides the performance, power and reliability to handle the most demanding AI, Generative AI and LLM training workloads, or graphical and engineering applications.
Use Cases/Applications:
- AI Training
- Engineering, Design, Architecture & MPD: Ansys, AutoCAD, Revit, Solidwork, 3D Modelling, Real-Time Engine, Rendering, Nvidia Omniverse
- Scientific: Relion Cryo-EM, Amber, Gromacs, LAMMPS, NAMD, Schrödinger MD
- CPU: 4th Gen Intel® Xeon® Scalable processor support, including Xeon® CPU MAX Series
- Memory: up 4TB Registered ECC DDR5 4800-MHz Memory
- Drives: 2x 2.5″ Front access SATA drive bays with hot swap
2x 5.25″ peripheral drive bays, 4x internal 3.5″ SATA rotating drive bays for easy access, up to 4x NVMe SSD support with optional cables and converter trays - GPU: Supports up to 2x double width active GPUs
- PCIe: 5x PCIe 5.0 x16, 1 PCIe 5.0 x8, 2 NVMe M.2 slots
- PSU: 2000W Platinum Power Supply
NITRO™ T5010
Powered by latest Intel® Xeon® Scalable Processors, the NITRO™ T5010 is a dual socket server which provides an unrivalled, deep learning-optimised GPU server for Large Scale AI training, HPC Applications and other graphically intensive workloads. The RADON T5010 is a tower form factor, which can also be converted to a rack mounted server.
Use Cases: AI-ML/DL Training and Inferencing, HPC, Render Farms and Virtualization
- CPU: 2x Latest Generation Intel® Xeon® Scalable Processor
- Memory: Up to 4TB DDR5 per server
- Drives: Up to 8 hot-swap 3.5″ & 2.5” SATA/NVMe
- GPUs: Supports 4 x Double-wide PCIe GPUs
Platform: Tower, or 4U rackmount
Customised NITRO GPU Personal SuperComputer
XENON can create a customised GPU Supercomputer for you, that will meet the most demanding performance requirements.
Contact XENON today to scope your project.
Creating a GPU supercomputer is more than just putting a GPU card in a PC or server, and calling it job done. The entire system must be considered. The CPU and internal data movement architecture, speed of local bus memory as well as local storage, and the size and type of GPU. All the components must be considered together to create a supercomputer that will run your data analytics, visualisation, or AI workloads.