NVIDIA 合作伙伴 · 英国
Independent advice on renting NVIDIA GPUs in the cloud versus owning them, and sizing hybrid set-ups that use both.
Almost every major cloud and many specialist GPU clouds now rent NVIDIA GPUs by the hour or by the month, from inference cards up to rack-scale Grace Blackwell systems. For short projects or unpredictable demand that flexibility is valuable. For steady, everyday workloads, owning the hardware is often cheaper and keeps sensitive data on premises.
We do not resell cloud capacity, so our advice is independent. We compare the cost of renting with the cost of owning for your real workloads, and where it makes sense we size a hybrid set-up: hardware you own for the baseline, with cloud capacity for peaks.
NVIDIA GPU instances you will find on cloud platforms, and their nearest on-premises equivalents:
GB300 NVL72 and GB200 NVL72 instances
HGX B200, HGX H200, H200, HGX H100, H100 and GH200
RTX PRO 6000 Blackwell Server, L40S, L40 and L4
A100 and A40
Specifications are summarised from manufacturer information and can change between revisions. We don't publish prices here — for current pricing and stock, see the shop.
Build, integration and support from our UK engineering team
We compare renting and owning over the life of the hardware, including power, hosting, support and expected utilisation.
We design set-ups where containerised workloads, built on NGC images, run on your own hardware and move to the cloud when demand peaks.
We size the hardware you own for your steady workload, so you are not paying for capacity that sits idle.
Because we don't sell cloud capacity, we can recommend staying in the cloud when that is the better answer.
No. We supply and support hardware you own. If renting is the better fit, we will say so and help you plan it.
Usually when GPUs are in steady, everyday use, when data needs to stay on premises, or when you want predictable costs. Short or occasional workloads often favour the cloud.
Yes, if they are containerised. Using NVIDIA's NGC containers and a common software stack, jobs can move between your own hardware and cloud instances.
Tell us what you need to run and where it has to live. An engineer will come back with a recommendation, not a sales script.