Akamai Inference Cloud

Turn trained models into real-time intelligence that performs securely at global scale

Be among the first to access powerful NVIDIA™ RTX PRO 6000 Blackwell optimized for AI inference.

Inference is the future of AI

Training teaches AI to think, but inference puts it to work. It turns models into real-time applications that reason, respond, and act. Inference delivers the experiences that make AI valuable.

AI apps on Akamai Inference Cloud perform closer to users, respond instantly, and scale unbound.

Without inference, AI is just potential

AI efforts aren’t translating to ROI

Rising cloud costs and slow AI adoption puts revenue, competitiveness, and stability at risk.

AI performance breaks at scale

Latency, limited GPUs, and security gaps block global AI delivery and drive up costs.

Infrastructure slows you down

Complex infrastructure and fragmented tools slow development, testing, and deployment.

Why Akamai Inference Cloud?

Akamai offers a hardened, globally distributed cloud built for the AI era. It brings GPU-powered compute closer to users and data — accelerating growth, sharpening competitiveness, and controlling costs.

Run AI faster, closer to your users

Real-time AI inference powered by GPUs is architected for global reach and speed.

Secure AI workloads, right at the edge

Edge defenses protect against prompt injection, model abuse, scraping, and malicious agents by design.

Build and scale, without lock-in

Build and scale on open APIs with full Kubernetes control, no-cost egress, and clear pricing that won’t slow you down.

How It Works

Build toward a unified AI cloud stack — foundation, models, data, and execution — with edge traffic management and agent lifecycle control. Specialized GPUs and Akamai’s edge network deliver low-latency inference supported by Akamai’s adaptive security and observability enable performance, protection, and efficiency at global scale.

Features

  • Specialized GPUs
  • Traffic management
  • Serverless functions
  • Adaptive AI security
  • Agent and application building and management
  • Distributed data
  • Unified observability
  • Data pipelines
  • Object storage

Use cases

Run AI anywhere it creates value. Power faster responses, smarter automation, and effective, real-time experiences across every use case.

Agentic AI and assistants

Deliver faster, more accurate responses with edge inference and adaptive security.

Customer experience and chatbots

Deliver seamless AI conversations at global scale without latency that frustrates users.

Personalization and recommendation

Power personalized, real-time interactions with your LLMs and custom models.

Automation and decision engines

Support high-frequency, mission-critical inference that keeps fintech, healthcare, and ecommerce running in real time.

Resources

Akamai Inference Cloud Transforms AI from Core to Edge with NVIDIA

Provides scalable, secure, and low-latency AI inference globally, to power the impending wave of agentic and physical AI.

Edge Is All You Need

Read why we built Akamai Inference Cloud to serve the agentic web.

Frequently Asked Questions (FAQ)

Akamai Inference Cloud is purpose-built for AI inference. Unlike traditional cloud providers or GPU hosting services, Akamai delivers compute, networking, and security at the edge to enable enterprises to operationalize AI inference and deploy intelligent, autonomous agents at global scale. The platform integrates advanced threat protection, model-aware defenses, and AI-native traffic control to protect inference endpoints and secure the entire AI interaction layer. Akamai Inference Cloud customers gain performance, cost efficiency, and purpose-built features required to turn AI investments into real-world business outcomes.

Akamai Inference Cloud is built for organizations investing in AI to gain a competitive edge, drive operational transformation, and prepare for the future. It’s designed for teams building and deploying AI-powered applications at scale who need the infrastructure to support real-time performance worldwide. We are empowering: 

  • MLOps: Engineers who automate the entire machine learning lifecycle to ensure models are continuously retrained, deployed, and monitored for performance in production
  • AI engineers: Software engineers who build end-to-end agentic applications, often using pretrained models, and bridge the gap between data science research and production software
  • Agentic system architects: Evolution of a traditional system architect who designs, builds, and manages complex, autonomous agentic systems that can independently reason, plan, act, and adapt to achieve high-level business goals

Inference happens closer to your users, not in a distant data center. Akamai’s globally distributed edge network routes traffic to the most suitable GPU region, reducing latency and providing faster, more consistent responses for AI-driven experiences.

Akamai Inference Cloud brings AI factories to the edge, decentralizing data and processing, and routing requests to the best model using Akamai’s massively distributed edge locations. By moving data and inference closer to users, it enables customer smart agents to adapt instantly to users and transaction optimization in real time.

Akamai offers network-level defense, adaptive threat protection, and API security at the edge with configurable security and access controls around your data and models.

You can deploy and monitor agentic AI applications using Akamai’s pre-built Kubernetes developer platform. MLOps engineers can take advantage of an integrated and preconfigured stack of Kubernetes software, including vLLM, KServe, NVIDIA Dynamo, NVIDIA NeMo, and NVIDIA NIMs.

The platform combines NVIDIA RTX PRO Servers, featuring NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs, and NVIDIA AI Enterprise software, with Akamai’s distributed cloud computing infrastructure and global edge network, which has more than 4,400 points of presence worldwide.

Talk with our team about your use case. We’ll help you match your workloads to the right GPU and deployment configuration, then guide you through setup so you can start running inference quickly.

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Book your AI consultation today

AI is moving from the lab to production, and the pressure is on to deliver faster, smarter, and more secure experiences. Whether you’re optimizing inference, scaling models, or reducing latency, we’re here to help you bring AI to life ... at the edge.

  • See how to deploy and scale AI inference closer to your users.
  • Learn how edge native infrastructure improves performance.
  • Explore how to cut costs while maintaining enterprise-grade security.

Book an AI consultation to unlock what’s possible!

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