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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.

Go in a rack. Two power supplies so one can fail, and air pulled front to back.

SUPERCOMPUTERSSystemNo photograph on file
gpu serverNew build48h burn-in36mo warranty

TF-L8 Edge Inference

Processors
AMD EPYC 9124
Accelerators
8 x NVIDIA L4 24GB
Cores
16 total
Memory
256GB DDR5
Storage
4x 1.92TB U.2 NVMe
Fabric
2x 25GbE
Rack space
1U
Peak power
0.9kW · 4A at 230V
Heat rejected
3,071 BTU/hr
  • Eight L4s in 1U on 900W total
  • No auxiliary GPU power cables anywhere in the box
  • Fits a colocation cabinet with a normal power allocation

Ships with Ubuntu 22.04 LTS · Triton Inference Server · TensorRT · Prometheus

Quoted per order

30 working days

SUPERCOMPUTERSSystemNo photograph on file
gpu serverRefurbished48h burn-in12mo warranty

TF-V2 VDI Node

Processors
2x Intel Xeon Gold 6548Y+
Accelerators
4 x NVIDIA L40 48GB
Cores
64 total
Memory
1TB DDR5
Storage
8x 3.84TB U.2 NVMe
Fabric
2x 25GbE
Rack space
2U
Peak power
2.4kW · 10A at 230V
Heat rejected
8,189 BTU/hr
  • Up to 64 virtual workstations on four L40s
  • vGPU licensing quoted separately, it is per-user and annual
  • Designed for engineering firms consolidating CAD seats

Ships with VMware ESXi or Proxmox · NVIDIA vGPU host driver · Horizon or Omnissa

Quoted per order

30 working days

SUPERCOMPUTERSSystemNo photograph on file
gpu serverRefurbished48h burn-in12mo warranty

TF-4A100 Refurb Trainer

Processors
2x AMD EPYC 7543
Accelerators
4 x NVIDIA A100 PCIe 80GB
Cores
64 total
Memory
512GB DDR4
Storage
4x 3.84TB U.2 NVMe
Fabric
1x ConnectX-6 HDR200
Rack space
4U
Peak power
2.6kW · 11A at 230V
Heat rejected
8,871 BTU/hr
  • 320GB HBM2e for well under half the price of a new node
  • Every GPU load-tested 48 hours before it ships
  • The best PKR-per-training-hour we sell

Ships with Ubuntu 22.04 LTS · CUDA 12 · PyTorch 2 · Slurm · NCCL tuned

Quoted per order

30 working days

SUPERCOMPUTERSSystemNo photograph on file
gpu serverNew build48h burn-in36mo warranty

TF-V2 VDI Node

Processors
2x Intel Xeon Gold 6548Y+
Accelerators
4 x NVIDIA L40 48GB
Cores
64 total
Memory
1TB DDR5
Storage
8x 3.84TB U.2 NVMe
Fabric
2x 25GbE
Rack space
2U
Peak power
2.4kW · 10A at 230V
Heat rejected
8,189 BTU/hr
  • Up to 64 virtual workstations on four L40s
  • vGPU licensing quoted separately, it is per-user and annual
  • Designed for engineering firms consolidating CAD seats

Ships with VMware ESXi or Proxmox · NVIDIA vGPU host driver · Horizon or Omnissa

Quoted per order

30 working days

SUPERCOMPUTERSSystemNo photograph on file
gpu serverRefurbished48h burn-in12mo warranty

TF-4A100 Refurb Trainer

Processors
2x AMD EPYC 7543
Accelerators
4 x NVIDIA A100 PCIe 80GB
Cores
64 total
Memory
512GB DDR4
Storage
4x 3.84TB U.2 NVMe
Fabric
1x ConnectX-6 HDR200
Rack space
4U
Peak power
2.6kW · 11A at 230V
Heat rejected
8,871 BTU/hr
  • 320GB HBM2e for well under half the price of a new node
  • Every GPU load-tested 48 hours before it ships
  • The best PKR-per-training-hour we sell

Ships with Ubuntu 22.04 LTS · CUDA 12 · PyTorch 2 · Slurm · NCCL tuned

Quoted per order

30 working days

SUPERCOMPUTERSSystemNo photograph on file
gpu serverRefurbished48h burn-in12mo warranty

TF-8L40S Inference Node

Processors
2x AMD EPYC 9354
Accelerators
8 x NVIDIA L40S 48GB
Cores
64 total
Memory
1TB DDR5
Storage
10x 3.84TB U.2 NVMe
Fabric
2x ConnectX-6 HDR200 + 2x 25GbE
Rack space
4U
Peak power
4.8kW · 21A at 230V
Heat rejected
16,378 BTU/hr
  • 384GB of GDDR6 ECC across eight cards
  • Air-cooled in 4U, no facility water needed
  • The sensible first production inference box

Ships with Ubuntu 22.04 LTS · CUDA 12 · vLLM · Triton Inference Server · Prometheus + Grafana

Quoted per order

60 working days

SUPERCOMPUTERSSystemNo photograph on file
gpu serverNew build48h burn-in36mo warranty

TF-8L40S Inference Node

Processors
2x AMD EPYC 9354
Accelerators
8 x NVIDIA L40S 48GB
Cores
64 total
Memory
1TB DDR5
Storage
10x 3.84TB U.2 NVMe
Fabric
2x ConnectX-6 HDR200 + 2x 25GbE
Rack space
4U
Peak power
4.8kW · 21A at 230V
Heat rejected
16,378 BTU/hr
  • 384GB of GDDR6 ECC across eight cards
  • Air-cooled in 4U, no facility water needed
  • The sensible first production inference box

Ships with Ubuntu 22.04 LTS · CUDA 12 · vLLM · Triton Inference Server · Prometheus + Grafana

Quoted per order

60 working days

SUPERCOMPUTERSSystemNo photograph on file
gpu serverRefurbished72h burn-in12mo warranty

TF-8H100 HGX Node

Processors
2x Intel Xeon Platinum 8480+
Accelerators
8 x NVIDIA H100 SXM5 80GB
Cores
112 total
Memory
2TB DDR5
Storage
8x 7.68TB U.2 NVMe
Fabric
8x ConnectX-7 NDR400 + 2x 100GbE
Rack space
8U
Peak power
10.2kW · 44A at 230V
Heat rejected
34,802 BTU/hr
  • 8-way NVLink all-to-all, 900 GB/s per GPU
  • Delivered racked, cabled and burned in for 72 hours
  • 10.2kW peak, three-phase and real cooling are prerequisites, not options

Ships with Ubuntu 22.04 LTS · NVIDIA driver + CUDA 12 · NVIDIA Container Toolkit · Slurm · NCCL tuned

Quoted per order

60 working days

SUPERCOMPUTERSSystemNo photograph on file
gpu serverNew build72h burn-in36mo warranty

TF-8H100 HGX Node

Processors
2x Intel Xeon Platinum 8480+
Accelerators
8 x NVIDIA H100 SXM5 80GB
Cores
112 total
Memory
2TB DDR5
Storage
8x 7.68TB U.2 NVMe
Fabric
8x ConnectX-7 NDR400 + 2x 100GbE
Rack space
8U
Peak power
10.2kW · 44A at 230V
Heat rejected
34,802 BTU/hr
  • 8-way NVLink all-to-all, 900 GB/s per GPU
  • Delivered racked, cabled and burned in for 72 hours
  • 10.2kW peak, three-phase and real cooling are prerequisites, not options

Ships with Ubuntu 22.04 LTS · NVIDIA driver + CUDA 12 · NVIDIA Container Toolkit · Slurm · NCCL tuned

Quoted per order

60 working days

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