12 Cloud GPU platforms suitable for AI and Big design files

The advent of AI technology in today's era has brought about a change in lifestyles. The use of AI through websites is becoming more popular. For developers with large AI models, if they want to use AI services through their website to make them more easily accessible, they must have a cloud system that can support the AI ​​model data so that they can work efficiently. Can cloud space support large data So are there any service providers that can support big data?

1. Linode

Cloud service providers offer scalable GPUs for parallel processing workloads like video processing. scientific processing machine learning, AI, and more by providing GPU-optimized VMs accelerated by NVIDIA Quadro RTX 6000, Tensor, and RT cores, and harnessing the power of CUDA to execute ray tracing and deep learning workloads. and complex processing The price for the dedicated RTX6000 GPU plan is $1.5/hour.

2.Latitude.sh

Cloud GPU is specifically designed to power AI and machine learning workloads Powered by NVIDIA's H100 GPU, Latitude. sh's infrastructure offers up to 2x faster model training than competing A100 GPUs, and each instance is optimized for AI workloads with Deep learning tools like TensorFlow, PyTorch, and Jupyter come pre-installed. AI-friendly pricing starts at $1.04 per month.

3. Paperspace CORE

Cloud system that can be used to work together with many systems Support for Mac, Linux, and Windows display. Use it to run demanding applications through unlimited throughput. CORE performs tasks quickly, such as adding Active Directory integration or VPN. It can also increase smoothness. Quick and easy workflow with prices starting at 0.07 USD/hour

4. Seeweb

The cloud helps you easily manage your AI and machine learning projects with a cloud-based GPU service library. Seeweb can be deployed for multiple use cases such as NLP, VDI, big data, and processing. Video results, CUDA applications, genomics, seismic analysis, and much more, with rates starting at €0.38 per hour.

5. Google Cloud GPU

One of Google's high-performance GPU cloud services for scientific computing, 3D visualization, and machine learning. Help Accelerate HPC Choose from a variety of GPUs to match price and performance points. And reduce your workload with flexible customization and pricing. The starting price is 0.16 USD per month.

6. Elastic GPU Service

Cloud GPUs with parallel processing capabilities are ideal for video processing, visualization, and scientific computing. and deep learning. EGS uses multiple GPUs, including NVIDIA Tesla M40, NVIDIA Tesla V100, NVIDIA Tesla P4, NVIDIA Tesla P100, and AMD FirePro S7150. A free service is included in the Alibaba Cloud plan and additional plans start at 19.99. US Dollar

7. Azure Virtual Machines Azure N series

It has GPU capabilities ideal for graphics and compute-intensive workloads. It helps users increase innovation through scenarios such as deep learning. Predictive analytics and displaying images from a distance You will have to pay a service fee starting at 657 USD /month.

8. IBM Cloud

One of the more directly accessible server options For seamless integration with IBM Cloud architecture, applications, and APIs with a distributed network of data centers around the world, get bare metal server GPUs at prices starting at $819/month and virtual GPU servers starting at $1.95/hour

9. AWS and NVIDIA

It's a partnership that continues to deliver cost-effective, flexible, and powerful GPU-based solutions. Includes Amazon EC2 instances powered by NVIDIA GPUs and services like AWS IoT Greengrass deployed with NVIDIA Jetson Nano modules. Sign up for a free trial.

10. OVH Cloud

A cloud server designed to process massively parallel workloads, the GPU has multiple instances integrated with the NVIDIA Tesla V100 graphics processor to meet the needs of deep learning and machine-assisted learning. Accelerating computation in the fields of graphics processing including artificial intelligence. OVH has partnered with NVIDIA to offer the best GPU acceleration platform for high-performance computing, AI, and deep learning.

11. Lambda GPU Cloud

It can train deep learning, ML, and AI models and scale from machine to entire VM count with a single click. Get the latest version of the pre-installed core framework and lambda Stack with CUDA drivers and deep learning framework. That costs 658 GiB of temporary storage for just $1.25/hour.

12. Genesis Cloud

Their affordable, powerful cloud-based GPU platform has access to multiple powerful data centers around the world that they are working with to deliver a wide range of applications. There are different types of NVIDIA and AMD GPUs besides. Train a neural network or create an animated movie by harnessing the power of GPU processing. Their data center uses 100% renewable energy from geothermal sources to reduce carbon emissions. The price is relatively cheaper than others, with NVIDIA L40S starting at $0.99 per month.

The Cloude GPU system is designed for fast processing speed, scaling the data requests as needed. Choosing the right cloud provider for your needs will help you deliver the best performance of your AI models.