Workstations
Workstations built for the job in front of them
Studio 16C
Rendering, editing and compile jobs that scale with cores.
- Processor
- AMD Ryzen 9 9950X
- Graphics Card
- MSI GeForce RTX 5060 Ti 16G VENTUS 3X OC
- Memory
- TEAMGROUP T-FORCE DELTA RGB 64GB (2x32GB) DDR5-6000 CL30
- Storage
- Western Digital WD_BLACK SN850X 2TB NVMe
Parts from
$5,862.81
Estimated $6,905.22 with assembly, shipping and tax
Est. draw
474 W
Atlas 24C
Large datasets, simulation and heavy virtualisation.
- Processor
- Intel Core Ultra 9 285K
- Graphics Card
- SAPPHIRE PULSE Radeon RX 9070 XT 16GB
- Memory
- TEAMGROUP T-FORCE DELTA RGB 64GB (2x32GB) DDR5-6000 CL30
- Storage
- Western Digital WD_BLACK SN850X 2TB NVMe
Parts from
$6,648.91
Estimated $7,793.51 with assembly, shipping and tax
Est. draw
553 W
If the workload is unusual, tell us about it
The configurations above cover common cases. If your software has specific requirements (certified drivers, ECC memory, a particular accelerator, a fixed rack depth) send the details and we will build the parts list around them rather than around a template.
Send the requirementsMatching parts to work
What each workload actually needs
Rendering and video export
Scales with cores, and then with memory bandwidth. A high-core processor with fast DDR5 usually beats a higher-clocked part with fewer cores.
Compilation and CI
Parallel builds are core-hungry and I/O-hungry at the same time. Separate NVMe drives for the OS and the working tree keep one from starving the other.
Simulation and large datasets
Memory capacity first. A job that fits in RAM finishes; a job that spills to disk takes an order of magnitude longer, whatever the processor is.
Virtualisation
Cores and memory to divide, plus enough M.2 and SATA capacity to give each machine its own storage rather than contending for one drive.
These are general engineering principles, not benchmark claims. Where a specific application behaves differently we will say so rather than guess.