AI Infrastructure Resources

What tech leaders need to know right now

November 2026

AI infrastructure priorities are shifting for 2027.
GPU capacity is becoming a planning decision.
Data movement is reshaping AI economics.

Planning your AI infrastructure for 2027?

From forecasting cloud costs to securing GPU capacity, explore the tools, technology, and emerging trends shaping AI infrastructure decisions for 2027.

Know your costs before you scale

Planning your 2027 AI budget? Compare cloud egress costs across major providers and estimate potential monthly and annual savings.

Secure the GPU capacity you need

Meet the new NVIDIA HGX^TM B300 GPUs on Akamai Cloud, built for demanding inference and post-training workloads with dedicated capacity and predictable pricing.

Get ahead of what's next in AI

Hear Akamai experts recap NVIDIA GTC Berlin and AGNTCon + MCPCon, sharing key takeaways and emerging trends to inform your 2027 plans.

Lower your AI infrastructure costs

Explore expert insights, customer results, and practical tools to help reduce cloud costs and make smarter infrastructure decisions.

Video | The hidden cost of centralized AI

Why AI infrastructure costs go beyond GPUs

GPUs are only part of the equation. Jon Alexander explains why compute placement, data access, and architecture matter when scaling AI.

Customer Story | Global streaming. Lower egress costs.

How a live streaming provider cut cloud costs while scaling globally

Discover how a global live streaming provider tackled expensive data transfers while expanding its reach and maintaining reliable video delivery.

Egress Estimator | What could you save on egress?

See how much you could save on data transfer

Enter your monthly data transfer volume to see how pricing differs across cloud providers and uncover where your budget could go further.

Get up to US$5,000 in Akamai Cloud credits

Move more data with less budget. Put more of your AI infrastructure spend toward workloads instead of data transfer fees.

Unlock credits

Secure the right GPU capacity

Explore expert insights, real-world results, and practical guidance to help choose the right GPU infrastructure and scale your AI workloads.

Webinar | Right compute. Right time. Right cost.

Why the right compute matters for AI

Not every AI workload needs the same infrastructure. Explore how to balance performance, capacity, and costs when making compute decisions.

Customer Story | Faster inference. Predictable costs.

How an AI SaaS provider scaled GPU inference globally

See how Deepsolver unified GPU infrastructure across three global regions, reduced cloud costs, and delivered real-time AI insights.

GPU Guidance: Your workload. The right GPU.

Find the right GPU for your workload

Tell our GPU experts what you’re building. Get guidance on GPU options, workload requirements, and the capacity you need to move forward.

The right GPU. When and where you need it.

Explore NVIDIA GPU options on Akamai Cloud, including the new NVIDIA HGX^TM B300. Tell us about your workload, capacity needs, and deployment timeline.

Request access

Talks and takes

Hear three Akamai perspectives on the cost, architecture, and governance of production AI infrastructure.

AI application growth changes infrastructure

As AI spreads across applications, infrastructure requirements are reshaped by dependencies across models, APIs, data, and users.

Placement decisions start with the data

See why workload placement depends on where data lives, where compute runs, and how the two connect.

Model the whole AI bill before you scale

Ari Weil explains why teams must model data movement, workload placement, and user growth before inference scales.

Talk AI with us — IRL

Meet Akamai experts at upcoming AI events for conversations on inference, distributed infrastructure, agents, and what it takes to run AI in production.

KubeCon

Nov 9–12 | Salt Lake City, UT

Meet Akamai at KubeCon to explore Kubernetes, cloud native AI workloads, and infrastructure built to scale from core to edge.

Akamai AI Summit

November 10 | San Francisco, CA

Join Akamai experts to explore the infrastructure needed to power, scale, and secure real-time agentic AI applications.

The AI Summit NY

December 9–10 | New York, NY

Discover how Akamai Cloud helps organizations deploy and scale production AI workloads closer to users.