GPU hourly pricing
Raw GPU instances billed by time, often with storage, network and idle-capacity costs outside the headline rate.
Pricing
AWS GPU Pricing Guide
Understand AWS GPU pricing patterns without relying on stale exact instance prices.
AWS GPU planning should include instance type, region, reservation strategy, attached storage, data transfer, managed services, observability and operational ownership.
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Token-based inference pricing
Managed LLM APIs priced by input and output tokens. Cost depends on context length, traffic mix and model choice.
Serverless inference pricing
Usage-based runtime pricing that can reduce idle cost but may add cold-start, concurrency or platform constraints.
Dedicated GPU instances
Reserved or dedicated capacity for predictable workloads, usually with stronger planning and commitment requirements.
Self-hosted infrastructure
Hardware or cloud infrastructure operated by the team, including engineering, observability, security and maintenance costs.
FAQ
Why avoid exact AWS GPU prices here?
AWS GPU prices vary by region, instance family, capacity model and date, so exact figures should be verified directly in AWS pricing tools.
What should teams compare?
Compare on-demand, reserved, savings plans, managed services, storage, networking, support and quota constraints.