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SUPERCOMPUTERS

Systems

Built, tested and handed over working

Every system arrives with its software stack installed and a burn-in report showing 72 hours at full load without fault. Clusters are commissioned and tested on your site, not delivered as a stack of boxes. Any of these can be opened in the configurator and altered.

Sit next to your desk and run off a normal office socket. No rack needed.

SUPERCOMPUTERSSystemNo photograph on file
ai workstationRefurbished24h burn-in12mo warranty

TF-W2P Pro Workstation

Processors
AMD Threadripper PRO 7965WX
Accelerators
2 x NVIDIA RTX A6000 48GB
Cores
24 total
Memory
256GB DDR5
Storage
2x 2TB M.2 NVMe + 1x 7.68TB U.2
Fabric
2x 10GbE onboard
Rack space
0U
Peak power
1.3kW · 5A at 230V
Heat rejected
4,265 BTU/hr
  • 96GB of ECC VRAM across an NVLink pair
  • Runs on a single 230V wall socket
  • The workstation most Pakistani research groups actually need

Ships with Ubuntu 24.04 LTS · CUDA 12 · PyTorch 2 · Docker · JupyterLab

Quoted per order

30 working days

Request a quoteFull spec
SUPERCOMPUTERSSystemNo photograph on file
ai workstationNew build24h burn-in36mo warranty

TF-W2P Pro Workstation

Processors
AMD Threadripper PRO 7965WX
Accelerators
2 x NVIDIA RTX A6000 48GB
Cores
24 total
Memory
256GB DDR5
Storage
2x 2TB M.2 NVMe + 1x 7.68TB U.2
Fabric
2x 10GbE onboard
Rack space
0U
Peak power
1.3kW · 5A at 230V
Heat rejected
4,265 BTU/hr
  • 96GB of ECC VRAM across an NVLink pair
  • Runs on a single 230V wall socket
  • The workstation most Pakistani research groups actually need

Ships with Ubuntu 24.04 LTS · CUDA 12 · PyTorch 2 · Docker · JupyterLab

Quoted per order

30 working days

Request a quoteFull spec
SUPERCOMPUTERSSystemNo photograph on file
ai workstationNew build24h burn-in36mo warranty

TF-W4 AI Workstation

Processors
AMD Threadripper PRO 7975WX
Accelerators
4 x NVIDIA RTX 6000 Ada 48GB
Cores
32 total
Memory
512GB DDR5
Storage
2x 4TB M.2 NVMe + 2x 7.68TB U.2
Fabric
2x 10GbE onboard
Rack space
0U
Peak power
2.1kW · 9A at 230V
Heat rejected
7,165 BTU/hr
  • 192GB of ECC VRAM under a desk, on a single 230V circuit
  • Blower cards so all four stay under 84C in a closed case
  • Runs on ordinary office power, no rack, no three-phase

Ships with Ubuntu 24.04 LTS · CUDA 12 · PyTorch 2 · Docker · JupyterLab

Quoted per order

30 working days

Request a quoteFull spec

None of these quite fits?

These are starting points, not a fixed menu. Open the configurator and change anything you like; the compatibility engine will hold you to what those changes cost in power, thermal budget and rack space.

Configure from scratch