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1. Lambda Labs GPU Cloud
- Supplying Extensive GPU clusters for training LLMs and Generative AI.
- Aiming for the cheapest GPU instances globally.
2. CoreWeave Cloud
- Specializes in scalable parallel workloads.
- Assisting Open-Source AI/ML Projects.
3. Latitude.sh Accelerate
- Optimized for AI and ML loads, featuring NVIDIA's H100 GPUs.
- Superior Dedicated Servers Available Worldwide.
4. Paperspace CORE
- Renowned for its user-friendly interface.
- Offering instant provisioning, API access, and management tools for efficient infrastructure oversight.
5. Google Cloud GPUs
- Providing a variety of NVIDIA GPUs to meet different computing requirements.
- Pricing is determined by the type of GPU, machine, and region.
6. Alibaba Cloud EGS
- Capable of Handling Various Scenarios from Video Processing to Deep Learning.
- GPU options include NVIDIA and AMD, with multiple instance types to choose from.
7. Azure N Series
- Virtual Machines with GPU capabilities for compute and graphics-intensive tasks.
- Product includes NC, ND, and NV series catering to diverse needs.
8. IBM Cloud GPUs
- Flexibility in GPU options with a choice of bare metal and virtual servers.
- The product integrates NVIDIA's advanced GPUs with IBM's Power Systems to deliver AI-focused servers.
9. AWS NVIDIA Solutions
- Collaborative solution providing scalable GPU-based applications for various uses.
- Featuring EC2 instances that are powered by NVIDIA GPUs.
10. Hugging Face Hardware
- The company is not a cloud service provider or an AI chip provider but collaborates with cloud providers and their AI capabilities to operate their pre-trained models and APIs.
- Offers the Hub for AI model sharing and deployment.

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