Make AI inference costs predictable

Unlock bulk pricing for Blackwell GPUs on Akamai Cloud

Better economics for production inference

Production inference costs can be hard to predict as AI usage grows. Akamai Cloud helps teams improve cost planning with transparent GPU pricing starting at $2.50/hr, low egress costs, and pricing options for larger deployments and committed usage.

Akamai helps teams:

Improve cost planning with transparent GPU pricing
Reduce data movement with low egress costs
Scale inference workloads without hyperscaler cost spikes
Match capacity to production demand
Unlock bulk pricing for larger AI inference workloads

Unlock bulk pricing

Connect with Akamai to discuss workload scale, usage patterns, regions, committed usage, and pricing options.

How it works

Share your usage profile

Tell us about your expected GPU needs, traffic patterns, regions, and workload type.

Review pricing options

Akamai will help evaluate pricing models based on scale, capacity, and deployment needs.

Build a cost plan

Get a clearer path to predictable infrastructure economics for production inference.

New study graphic stating Peak load latency cited as top scaling challenge for inference.

Inference costs get harder to control in production

A new study of 200 AI practitioners found GPU and CPU costs are the hardest to predict in production AI. Akamai helps teams control spend with GPU pricing from $2.50/hr, egress as low as $0.005/GB, and up to 44% lower TCO than hyperscalers.

Plan GPU spend before demand spikes

Pricing factor	Akamai Cloud	Why it matters
Starting GPU price	RTX PRO 6000 Blackwell x1 at $2.50/hr	Lower entry point for production inference planning
2-GPU plan	RTX PRO 6000 Blackwell x2 at $5.00/hr	Scale capacity while keeping pricing easy to forecast
4-GPU plan	RTX PRO 6000 Blackwell x4 at $10.00/hr	Support larger inference workloads with clear hourly pricing
Comparable pricing	Up to 44% lower cost vs. GCP on demand	Helps reduce infrastructure spend for AI workloads
Cost per token	Up to 28% lower cost per token vs. H100	Improves economics for high-volume inference
Data transfer	Egress costs as low as $0.005/GB	Reduces the hidden cost of globally distributed AI

Run production AI workloads with clearer cost control

High-Volume AI Apps

Support user-facing AI experiences where every request adds infrastructure cost.

Global Inference

Reduce backhaul and data movement costs for applications serving distributed users.

Media & Video Workloads

Control costs for GPU-heavy video, rendering, and transformation pipelines.

Always-On AI Services

Plan recurring GPU spend for production agents, copilots, and inference systems.