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Akamai Global Infrastructure

The world’s most distributed cloud platform and intelligent global network

Everywhere you do business, Akamai is there

4,350+
edge PoPs

1+ PBps
edge capacity

1,200+
networks

24/7
monitoring

130+
countries

2,450+
services experts

Explore Akamai’s global infrastructure map

  • Core Compute Regions
  • Distributed PoPs
  • Edge PoPs
  • Existing
  • Beta
  • Existing
  • Beta
  • Existing
  • Beta

Akamai Cloud continuum for workload placement and data residency

Our global cloud network architecture and low-latency infrastructure allow your workloads to be intelligently deployed across a continuum of computing power, optimizing performance and agility for hybrid cloud and multicloud architectures.

Core Compute

Core compute for distributed workloads

Core sites provide compute, storage, database, and other services needed to run AI inference workloads and cloud native applications. They are integrated into Akamai’s global network and are built for highly scalable, performance-sensitive workloads such as:

  • Streaming: Media storage and transcoding function well in core sites due to their heavy compute requirements, large storage, and system of record data.

  • Ecommerce: Product catalog database, orders and payments, back-end APIs, and microservices require strong consistency, transaction processing, and centralized control.

  • Gaming: Player accounts, matchmaking logic, and analytics sit in core sites due to their persistent state and need for global coordination.

Teams start in core sites for full-stack scale and centralized control, then extend into distributed sites when they need to place workloads closer to users for lower latency, or within specific geographies to meet data residency and regulatory requirements.

 

 

 

Distributed Sites

Distributed sites for AI performance

Distributed sites bring high-performance infrastructure to the edge to support latency-sensitive services that cannot afford the round-trip delay of centralized data centers. By placing compute resources closer to the point of data generation, organizations ensure the immediate feedback loops necessary for real-time AI decision-making and  significantly better UX.

  • Local processing: Ideal for high-bandwidth tasks like video analytics or industrial IoT where sending raw data to the cloud is cost-prohibitive.

  • Faster responses: Critical for interactive AI applications, such as autonomous systems or real-time voice synthesis, where milliseconds matter.

  • Data residency: Helps meet strict regulatory requirements by keeping sensitive PII (personally identifiable information) within specific geographic or sovereign boundaries.

Integrating AI into your stack doesn’t require a “rip and replace.” Instead, you can extend hybrid cloud and multicloud architectures to incorporate intelligent capabilities at your own pace. This modularity allows your team to deploy components where they make the most sense technically and operationally.

  • Distributed endpoints: Keep your heavy model training in the public cloud while deploying lightweight inference endpoints at the edge.

  • Hybrid feature services: Maintain your primary databases on-premises while leveraging cloud native feature stores for real-time model inputs.

  • Incremental adoption: Connect legacy applications to modern AI microservices via secure APIs, ensuring your existing investments continue to provide value.

 
 

 

 

 

Edge Sites

Edge sites for edge computing and delivery

Execute lightweight application logic directly at the edge to power latency-sensitive services and ensure significantly better UX through faster responses. With Akamai Functions and Akamai EdgeWorkers, teams can process code closer to the user, reducing origin overhead and accelerating digital interactions.

  • Personalize experiences: Customize and localize content in real time by modifying requests and responses based on user geography, device type, or cookies.

  • Optimize API performance: Streamline traffic by handling routing decisions, authentication handoffs, and header normalization at the edge before hitting origin services.

  • Manage controlled rollouts: Implement logic for A/B testing, redirects, and gradual feature releases without the need to redeploy core application code.

As the high-performance delivery layer of our distributed cloud, Akamai edge sites allow you to extend hybrid cloud and multicloud architectures, placing critical delivery components exactly where they are needed to support applications and experiences.

  • Media: Deliver high-quality video streams with optimized startup times and reduced buffering for a global viewer base.
  • Gaming: Ensure low-latency gameplay, rapid patch downloads, and seamless performance during peak traffic events by staying close to the player.
  • SaaS: Provide highly responsive application interfaces for distributed workforces, improving overall software performance and user retention.

These edge sites extend Akamai Cloud and Akamai Security to allow teams to build, protect, and scale the applications and APIs behind these experiences.

 

Build, secure, and scale apps with Akamai Cloud and Security

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Cloud computing for AI inference workloads and cloud native applications

Run rapid, GPU-powered AI inference and edge native compute at global scale.

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Secure every application, API, and AI experience

Protect the applications and experiences that drive your business — every day, every time.

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Content delivery solutions for low-latency experiences

Deliver latency-sensitive AI apps and experiences closer to your users.

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Explore distributed compute regions

Deploy and scale AI workloads by bringing high-performance compute and GPU resources closer to your end users.

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Explore pricing

Discover transparent, predictable cloud pricing with Akamai Cloud. Combine compute, storage, networking, tools, and more to match your workload requirements.

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Ready to get started or have questions?

Request a demo, talk to sales, or get help now via our customer support team.

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