Power your University’s
Research Infrastructure
with the nVidia A100 Machine Learning GPU
Research Infrastructure
with the nVidia A100 Machine Learning GPU
Professional-grade GPU hardware, available now.
Supplied as standalone units or fully integrated rack servers.
Built and tested for academic workloads.

NVIDIA A100 80GB PCIe
£14,750
ex-VAT £16,870 ex-vat
80GB HBM2e Memory – 1,935GB/s
FP64 Tensor Core – 19.5 TFLOPS
Standalone GPU units for integration into
your existing university server
infrastructure.
Upgraded performance with no
additional platform investment.

GPU-Ready Rack Server
£36,000
ex-VAT | £41,100 ex-vat
Built and tested in-house.
Dell PowerEdge R7525 2U (24SFF – 16x SAS, 8x Tri)
2x AMD EPYC 7413 (24-core, 2.65GHz)
512GB RAM (8x 64GB 3200MHz)
2x A100 80GB PCIe
BOSS-S1 (2x 240GB M.2)
H345 Controller
2x 25GbE SFP28
2x 2400W PSU
Rack Rails Included
Fully-Configurable Alternative PCIe Gen 4.0 Platforms Available:
•Dell PowerEdge R750xa (2U) – Intel Xeon
•Dell PowerEdge R760 (2U) – Intel Xeon
•HP ProLiant DL380 Gen10 Plus (2U) – Intel Xeon
•HP ProLiant DL385 Gen11 (2U) – AMD EPYC
|Research Compute Clusters | Virtualisation | High-Performance Computing |
| Machine Learning | Simulation | LLM Inference Servers | AI Model Training |
*** ALL SALES SUBJECT TO END-USER AGREEMENT AND DUE DILIGENCE ***
Contact us on the form below with any enquires about the nVidia A100 Machine Learning GPU.
If you wish to contact us about your requirements, then simply email us on sales@ict-direct.co.uk and a member of the team will be in touch as soon as possible.
Alternatively, if you would like to talk to someone, please call 01254 820 980