Dell C4130
The dense one. Four K80 cards, eight GPUs, just under 20,000 cores in a single rack unit, for people who need real throughput from a rack or a lab bench.
- GPUs
- 4 × K80 (8 GPUs)
- Cores
- ≈20,000 CUDA
- Memory
- 128 GB ECC
- Storage
- 500 GB HDD
Tested · CUDA-preinstalled · In stock
Nearly 20,000 CUDA cores. On your desk.
Reconditioned Dell GPGPU servers and workstations, fully configured for numerical computing. Ubuntu 20.04, CUDA 11.4, a complete GNU toolchain, BLAS/LAPACK, NumPy/SciPy and VTK. Imaged, benchmarked and ready to use on arrival.
- Pickup in Boston, MA
- Customizations available
- Bench-tested before shipping
≈20,000
CUDA cores, C4130
8 GPUs
4 × NVIDIA K80
CUDA 11.4
Ubuntu 20.04 LTS
3 demos
Source included
01 Systems
Two configurations, both CUDA-preinstalled
Dell T7910
The quiet one. One K80, two GPUs, ~5,000 cores in a tower that runs on a normal wall outlet under a desk. The natural first CUDA machine for a student or a teaching lab.
- GPUs
- 1 × K80 (2 GPUs)
- Cores
- ≈5,000 CUDA
- Memory
- 64 GB ECC
- Storage
- 500 GB HDD
02 Software
Imaged, not bare metal
Every machine ships with the full NVCC numerical stack installed and verified. Plug in, log in to Ubuntu/Cinnamon desktop environment, and NVCC is already on your path.
Base OS
- Ubuntu 20.04 LTS
- Cinnamon desktop
Build & numerics
- NVIDIA CUDA 11.4.48
- NVIDIA driver 470.256.02
- GNU C/C++ 9.4.0
- CMake 3.31
- BLAS / LAPACK
Analysis & viz
- Python
- NumPy / SciPy
- VTK visualization
03 Target user
Low-cost parallel compute, wherever the budget is real
01
Algorithm development
Iterate on kernels locally instead of queueing for cluster time.
02
Academic research
Grant-friendly capital cost for a machine a group actually owns.
03
Teaching
A whole class can share eight GPUs without cloud accounts.
04
Startups
Fixed-cost simulation and ML prototyping, no hourly meter.
05
Home labs
Serious hardware for people who learn by taking it apart.
Warranty & testing
Every unit is burned in before it leaves
- Full hardware diagnostic pass: CPU, RAM, drives, all GPUs.
- CUDA sample suite installed on every GPU in the system.
Warranty: 1 month full warranty. The unit will be repaired at no cost.
Pickup & shipping
Collect it in Boston, or we crate it
- Local pickup in Boston, MA. Inspect and power it up on site.
- Rails, cables and power leads included where applicable.
- Customizations to RAM, storage or GPU count, quoted on request.
At a glance
Side-by-side Specification
| Specification | Dell C4130 | Dell T7910 |
|---|---|---|
| Price | $1,998 | $1,298 |
| Form factor | 1U rackmount | Tower / deskside |
| GPU cards | 4 × NVIDIA K80 | 1 × NVIDIA K80 |
| GPUs in system | 8 | 2 |
| Total CUDA cores | ≈20,000 | ≈5,000 |
| CPU | Dual Intel Xeon E5-2680 v4, 28 cores, 2.4 GHz (3.3 GHz turbo) | Dual Intel Xeon E5-2687W, 3.0 GHz |
| Memory | 128 GB DDR4 ECC, configurable | 64 GB DDR4 ECC |
| Storage | 500 GB HDD | 500 GB HDD |
| Power supply | 1400 W | 1300 W |
| Best for | Throughput, shared lab resource | Quiet single-user development |
| Details | Dell C4130 | Dell T7910 |
Tell us what you need to run.
Send your workload and we'll tell you which configuration fits, or whether neither does.