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Solutions

Every configuration starts from the workload. The setups below are typical starting points. We adjust each one for your software, budget, power and space, and quote it as a complete system or as individual components.

AI / ML

AI/ML Workstations

Desk-side systems for local LLM inference, fine-tuning, retrieval-augmented generation, computer vision and general data science. VRAM capacity usually decides what you can run, so we size the GPU memory to your model and batch sizes first.

  • Single-GPU through 4-GPU configurations
  • Professional GPUs with large VRAM and ECC, or GeForce for cost-sensitive builds
  • ECC memory and fast NVMe scratch for datasets
  • Linux or Windows, with drivers, CUDA and common frameworks set up on request
Quote an AI/ML workstation

Typical configuration

GPU
1–4 × NVIDIA RTX PRO 6000 / 5000 Blackwell, or GeForce RTX 5090
CPU
AMD Threadripper PRO or Intel Xeon W
Platform
WRX90 or W790 workstation motherboard
Memory
128–512 GB DDR5 ECC RDIMM
Storage
PCIe Gen5 NVMe boot + Gen4/U.2 data volumes
Power
Sized for sustained GPU load; 20A circuit guidance for multi-GPU
Creative

Creator & 3D Workstations

For GPU rendering, video editing and color grading, VFX, CAD/CAE and real-time 3D. We match the GPU, CPU core count and memory to the applications you use, and check certified-driver needs for professional software.

  • GPU rendering (Blender Cycles, Redshift, Octane, V-Ray GPU)
  • Video editing and finishing (DaVinci Resolve, Premiere Pro)
  • CAD, BIM and simulation (SolidWorks, Revit, Ansys and similar)
  • Quiet, office-friendly cooling options
Quote a creator workstation

Typical configuration

GPU
NVIDIA RTX PRO 4000/4500 Blackwell, RTX A-series, or GeForce RTX 5080/5090
CPU
High-clock desktop or workstation CPU
Platform
AM5, TRX50 or W790
Memory
64–256 GB DDR5
Storage
Gen4/Gen5 NVMe for media cache and projects
Display
Multi-monitor and 10-bit output on professional GPUs
Upgrades

GPU Upgrades

Already have workstations? We supply the right card for an upgrade and check it against your current chassis, power supply, PCIe slots and cooling before you order, so the card fits and runs on arrival.

  • Compatibility review: card length, slot width, power connectors (12V-2x6 / 8-pin) and PSU headroom
  • Blower-style and dual-slot options for dense multi-GPU builds
  • Matching power supplies and cables when needed
  • Fleet upgrades with consistent models across machines
Quote a GPU upgrade

What to send us

System
Make/model or motherboard, chassis and PSU wattage
Current GPU
Model and quantity being replaced
Workload
Applications, models or datasets
Quantity
Number of machines to upgrade
Servers

Small-Business AI Servers

Tower and rackmount GPU servers for teams that want to keep data on premises: private LLM inference, internal assistants, document search, transcription and shared training jobs. Sized for the users you have now, with room to add GPUs later.

  • 2–8 GPU tower and rackmount chassis
  • Server-grade platforms with ECC memory and remote management (IPMI/BMC)
  • Redundant power supplies and enterprise NVMe options
  • Guidance on power, cooling and rack space before you buy
Quote an AI server

Typical configuration

GPU
2–8 × NVIDIA RTX PRO Blackwell (Max-Q or Server Edition)
CPU
AMD EPYC, Threadripper PRO or Intel Xeon
Memory
256 GB–1 TB DDR5 ECC RDIMM
Storage
U.2/U.3 enterprise NVMe, optional RAID
Network
10/25 GbE standard; faster on request
Form factor
Tower, 2U or 4U rackmount

Not sure which configuration fits?

Describe the workload and the budget. We will recommend options and explain the trade-offs.

Request a Quote