- for high load tasks
- AI-friendly
- with powerful Nvidia GPUs
- 10x faster than using only CPUs
GPU Cloud is a service for renting cloud computing resources based on the Infrastructure as a Service (IaaS) model, where the client is provided with graphic processors (GPUs).
GPU computations are performed by many small cores that can process information simultaneously, with a large number of threads. It means that you can do high-load tasks faster and without stressing over possible software shutdowns or lags. And by running GPU capacities in the cloud, you don’t need to pay upfront for costly hardware or maintain it on your own — resources are virtualized and handled by the cloud provider.
GPU Cloud is suitable for:
-
It is highly effective for training machine learning models, which involve processing vast datasets and complex computations.
-
GPU Cloud accelerates data processing, enabling faster data analysis, visualization, and modeling.
-
GPU Cloud can handle complex visual effects and smoothly run video editing software, encoding, decoding and rendering video in real time and at high resolution.
-
For engineers, architects and 3D artists, video cards help process CAD files, work with high-load software and render faster.
-
A graphics processing unit allows for processing many parameters and scenarios, creating simulations, which can speed up the research.
-
Whether predicting financial indicators or modeling an illness progression, GPUs are essential for processing and storing large datasets and scenarios.
GigaCloud’s GPU Cloud setup
Based on Enterprise Cloud
It can be ordered as a classic Public cloud or a Dedicated cloud with separate hosts and disk groups.
In Equinix IBX data centers
Located in Europe, with ≈99.995% availability.
On Lenovo hardware
With high-efficiency Intel Xeon Gold 6336Y/6354 processors mounted on hosts.
With NVIDIA GPUs
A40 model including third-generation Tensor Cores and ultra-fast GDDR6 memory.
NVIDIA GRID
Used to virtualize graphics cores (vGPU) via NVIDIA vWS (Virtual WorkStation) licenses.
GPU Cloud variations
Based on Public IaaS
Four types of GPU profiles are available to order — for 8, 12, 24 and 48GB vGPUs. One virtual machine allows creating one profile, which already includes the NVIDIA vWS license.
Based on Dedicated IaaS
The required number of video cards and NVIDIA vWS licenses are ordered separately, depending on the tasks and requirements. Up to 2 video cards can be installed on one computing node. The type of GPU profile is not limited.
More about GPU Cloud
Book a free consultation on GPU Cloud from our experts
Do complex tasks faster and save money