GPU servers for AI, matched to your actual workload
I help you choose and source a GPU system that fits your workload, your budget, your delivery deadline and the room you have to put it in. Complete systems, individual components or upgrades.
Complete systems
GPU servers for training, inference, rendering and HPC — from single-GPU machines to multi-GPU platforms.
Individual components
Graphics cards, server memory, NVMe storage, processors and networking — without a full system if that is what you need.
Upgrades
Extending an existing system, including checking whether the upgrade is feasible at all.
Three checks that decide the configuration
What the workload actually requires, what your power and cooling actually allow, and what the real lead time is. Most costly mistakes come from skipping one of the three — usually the second.
Anonymised examples — no customer names, with the concrete outcome.
Power and cooling assessed before purchase
Existing power and cooling capacity was measured before any hardware was chosen. That set the limit for what could be installed without touching the room.
HGX system delivered in one month
The customer needed a high-performance system as quickly as possible. Standard lead times for HGX platforms were several months at the time.
Process optimisation with AI
A top-tier system was the starting assumption. Analysis of the actual workload showed professional workstation cards were sufficient.
Why me
Ten years in IT hardware and data centre distribution. I advise on behalf of ASBIS, an international distributor of IT and data centre equipment. That means visibility into real prices, real lead times and real technical trade-offs — not just marketing material. The advice is free to you even when the honest answer is that you should not buy, or that a cheaper configuration is enough.
Free consultation
Two fields to start. We sort out the details in conversation.
I read and answer every enquiry personally, normally within one working day.
The service is free to you.