SOLUTIONS
AI & GPU Servers
AI and machine learning run on serious compute, and that starts with the right GPU servers. Cratsol helps you specify the right configuration for your workloads and supplies it from the leading manufacturers, at competitive pricing.
The compute behind your AI, specified properly
AI training, inference, and high-performance workloads ask far more of a server than everyday computing. The GPU does the heavy lifting, but it is only as effective as the system around it, the processors, memory, storage, and networking that keep it supplied with data. Get that balance wrong, and the most expensive GPU in the world sits idle, waiting for the rest of the machine.
The right answer is a system built around your workload, not a standard box off the shelf. We help you specify GPU servers where every part is matched to the job, and supply them from the manufacturers you trust, so your investment goes into compute that actually gets used.
GPU servers matched to the workload
Complete cloud expertise, under one partner
AI and machine learning training
Inference and model serving
High-performance computing (HPC)
Data science and analytics
Rendering and visualisation
Research and simulation
A hardware supplier that understands AI compute
Supplier first
GPU servers and infrastructure hardware are our core business, sourced from leading manufacturers and priced to compete.
The right accelerator, not the most expensive
We recommend the GPU and system that fit your workload and budget, not whatever carries the highest margin.
Balanced systems
We specify the whole machine, not just the GPU, so your compute is never held back by a slow part elsewhere.
The right configuration, specified and supplied
Trusted across the sectors that depend on technology
We support organisations with demanding, sector-specific requirements — understanding the compliance, continuity, and performance needs particular to each.
Frequently Asked Questions
Find answers organized by topic
How many GPUs do I need?
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It depends on your workload. Inference and smaller models may need a single GPU; large-scale training benefits from multiple GPUs, or several servers working together. We help you match it to the job.
Why does the rest of the server matter?
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A GPU can only work as fast as the system supplying it. If the processor, memory, storage, or networking cannot keep up, the GPU sits idle. That is why we specify the whole system, not just the accelerator.
What workloads are these servers for?
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AI and machine learning training, inference, high-performance computing, data science, rendering, and research, anywhere that needs serious parallel compute.
Do you supply the hardware?
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Yes. We help you specify and supply the GPU servers that fit your workloads, your models, and your plans for growth.