- IT Support
10 Signs Your Business Has Outgrown Its IT Setup
10 Mar, 2026

£2357.15 inc. VAT
AI-generated summary
If you’re paying £1964.29 ex-VAT for a Lenovo-branded “RTX 5080 16GB GDDR7”, the honest take is this: it’s only a smart buy if you truly need high-end GPU acceleration now, and you’ll use it in ways that actually stress the card (heavy CUDA/AI workloads, serious render/compute pipelines, or graphics-heavy design work). For typical UK business use—standard engineering apps, office workloads, VDI for knowledge workers, light content creation—this is overkill and you’ll get better ROI by spending less on a more balanced card. In other words, unless the GPU is a core part of your billable work, the price will sting.
Where it makes sense is for teams who can keep that GPU busy: media production houses, AI/ML teams with inference/training needs, technical teams doing GPU-accelerated simulations, or organisations standardising on a strong “single box can do everything” workstation build. The Lenovo branding is fine, but don’t buy it *because* it’s Lenovo—buy it because the performance class fits your workload and your software stack supports it smoothly. If you’re on the fence, check whether your applications are GPU-accelerated in practice (not just “supports CUDA”), and confirm your workstation’s power and cooling are up to the job—because the hidden cost is often downtime or rebuilds, not the GPU itself.

HP
NVIDIA RTX 4000 Ada - Graphics card - RTX 4000 Ada - 20 GB GDDR6 - PCIe 4.0 x16 - 4 x DisplayPort - for Workstation Z2 G9

Asus
ASUS Dual GeForce RTX 5060 Ti 16GB - OC Edition - graphics card - GeForce RTX 5060 Ti - 16 GB GDDR7 - PCI Express 5.0 - 3 x DisplayPort, HDMI

Asus
ASUS PRIME GeForce RTX 5060 8GB - Graphics card - GeForce RTX 5060 - 8 GB GDDR7 - PCI Express 5.0 - 3 x DisplayPort, HDMI

Asus
RS720A-E12-RS12/10G/2.6kW/8NVMe/GPU