AI workloads need GPU computing on demand, close to your data. This guide explains when a GPU cloud makes sense, what to check before you choose one, and how MedOne, Israel's leading cloud provider, runs it from its own data centers in Israel.
What is a GPU cloud?
A GPU cloud gives you access to graphics processors, the chips that run most machine learning and deep learning, as a service. You consume compute when you need it and do not buy, house and cool the hardware yourself. Most machine learning and deep learning applications require cutting-edge GPU components, which is why teams often start in the cloud.
What do teams run on a GPU cloud?
- AI and machine learning: training and running models.
- Medical imaging: processing imaging results.
- Research simulations: physics, biology and chemistry.
- FinTech applications and real-time 3D simulators.
- Autonomous vehicle algorithms and quantum computer simulators.
What does MedOne's GPU cloud offer?
MedOne's GPU cloud is part of its hybrid data center model. MedOne introduced NVIDIA A100-80GB GPU processors to its HPC public cloud, so customers get heavy mathematical processing on demand, operating from MedOne's communication hubs in Israel. Through its CSP partnership with NVIDIA, customers can use the NVIDIA Enterprise software and tools as a complete package, at no additional cost, while consuming MedOne's GPUs in the cloud.
How are instances built?
Instances include CPUs, GPUs, RAM and VRAM, with regular or fast storage, in both SaaS and managed containers models. MedOne also supports grid implementations on SXM and NVLink technology, and GPU or vGPU as part of a MIG architecture. MedOne designs, engineers and consolidates its HPC services to meet the requirements of the Israeli tech market.
Why does location matter for GPU workloads?
Running GPUs inside Israel gives you low latency, which suits time-sensitive applications, and traffic stays within Israeli communication costs. It also keeps training data and models in Israel, which makes it easier to discuss data location with your legal and security teams. Hosting in Israel does not make a deployment compliant by itself, so review the design with them.
How is the cooling handled?
MedOne uses advanced cooling technology such as immersion cooling, which reduces costs and is much better for the environment. Cooling matters more as GPU density grows. For the infrastructure side, read about AI-ready data centers in Israel.
How do you choose a GPU cloud provider in Israel?
- Which GPUs are available? Ask for the exact processors and the instance options, not a general promise.
- Where do they run? Ask for the location of the facility and who operates it.
- Which software is included? Check whether the NVIDIA Enterprise tools are part of the service or an extra cost.
- Who supports you? Look for Israeli support from people, not a ticket queue.
- How does it connect to the rest of your systems? A hybrid model lets GPU workloads sit next to your other cloud services.
Where does a GPU cloud fit with the rest of your cloud?
A GPU cloud works well next to a sovereign cloud in Israel for regulated data and a recovery plan such as DRaaS in Israel. For the wider picture, read how to choose among cloud providers in Israel and An Israeli Cloud Provider for Enterprises.
Frequently asked questions
What is a GPU cloud?
GPU computing delivered as a cloud service. You use graphics processors for machine learning, deep learning and simulations on demand, without owning the hardware.
Which GPUs does MedOne offer?
MedOne's HPC public cloud offers NVIDIA A100-80GB GPU processors, operating from MedOne's communication hubs in Israel.
Are NVIDIA Enterprise tools included?
Yes. Through MedOne's CSP partnership with NVIDIA, customers can use all NVIDIA Enterprise software and tools as a complete package without additional costs.
How are the GPUs cooled?
MedOne uses advanced cooling technology such as immersion cooling, which reduces costs and is more environmentally friendly.
What instance options are available?
Instances include CPUs, GPUs, RAM and VRAM, with regular or fast storage, in SaaS and managed containers models. GPU and vGPU are supported as part of a MIG architecture.
Where do MedOne's GPUs run?
In MedOne's data centers in Israel. MedOne operates six underground facilities.