Welcome to the AI documentation repository for Akamai Cloud. This repository serves as a starting point for customers who want to deploy and use AI workloads on Akamai Cloud infrastructure.
This repository provides links to AI projects, quickstart guides, and useful resources to help you get started with AI on Akamai Cloud. Whether you're looking to deploy machine learning models, run inference workloads, or explore AI capabilities, you'll find helpful resources here.
Deploy complete, pre-configured AI inference stacks that include both an OpenAI-compatible Web UI and API endpoint. Each quickstart provides everything you need to get up and running in minutes on Linode GPU instances.
- AI Quickstart - Mistral 7B - Quickstart guide for deploying Mistral 7B on Akamai Cloud
- AI Quickstart - GPT-OSS-20B LLM - Quickstart guide for deploying GPT-OSS-20B LLM on Akamai Cloud
Not sure which model is right for your use case? Check out our Model Selection Guide to compare Mistral 7B and GPT-OSS-20B, including architecture differences, performance characteristics, and recommendations based on your specific needs.
- Akamai Cloud GPU Products - Access powerful on-demand NVIDIA™ GPUs with predictable, cost-effective pricing
- GPU Compute Instances Documentation - Comprehensive guide on GPU compute instances, including setup and management
- GPU Specifications & Use Cases - Detailed information about available GPU types, specifications, and use cases
- Benchmarking NVIDIA RTX Pro 6000 Blackwell on Akamai Cloud - Performance benchmarks and analysis of NVIDIA RTX Pro 6000 Blackwell GPUs on Akamai Cloud
- Benchmarking VPUs and GPUs for Media Workloads - Performance comparison of NETINT VPUs vs NVIDIA GPUs for media encoding, showing 4.7x higher energy efficiency with VPUs
If you have suggestions for additional resources or projects to include, please open an issue or submit a pull request.
For questions or support related to AI on Akamai Cloud, please refer to our Linode Community or Documentation.