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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.