What is the difference between Amazon AWS and Prime Intellect?

Amazon AWS and Prime Intellect are both cloud GPU providers offering different pricing models, features, and GPU availability. Use our comparison tool to see real-time pricing and feature differences.

Which is cheaper: Amazon AWS or Prime Intellect?

Pricing varies by GPU model and usage requirements. Check our real-time comparison table to find the best deals for your specific needs.

Can I switch between Amazon AWS and Prime Intellect?

Yes, both providers offer flexible cloud GPU services. However, consider factors like data transfer costs, setup time, and specific features when switching between providers.

How many GPU models are available for comparison?

We track pricing for 7 different GPU models across both Amazon AWS and Prime Intellect, with 0 models available from both providers.

Amazon AWS vs Prime Intellect

Compare GPU and LLM inference API pricing between Amazon AWS and Prime Intellect. Find the best rates for AI training, inference, and ML workloads.

Amazon AWS

Provider 1

GPUs Available

Visit Website

Prime Intellect

Provider 2

GPUs Available

Visit Website

Comparison Overview

Total GPU Models

Amazon AWS GPUs

Prime Intellect GPUs

Direct Comparisons

GPU Pricing Comparison

Total GPUs: 7Both available: 0Amazon AWS: 7Prime Intellect: 0

Showing 7 of 7 GPUs

Last updated: 9/28/2026, 7:00:52 AM

GPU Model ↑	Amazon AWS Price	Prime Intellect Price	Price Diff ↕	Sources
A10 24GB VRAM • Amazon AWS	$1.01/hr★ Best	Not Available	—	AWS EC2 Pricing API
A10 24GB VRAM • Amazon AWS $1.01/hour Updated: 9/28/2026 ★Best Price Not Available AWS EC2 Pricing API
A100 SXM 80GB VRAM • Amazon AWS	$2.74/hr★ Best 8x GPU	Not Available	—	AWS EC2 Pricing API
A100 SXM 80GB VRAM • Amazon AWS $2.74/hour 8x GPU configuration Updated: 9/28/2026 ★Best Price Not Available AWS EC2 Pricing API
H100 SXM 80GB VRAM • Amazon AWS	$6.88/hr★ Best 8x GPU	Not Available	—	AWS EC2 Pricing API
H100 SXM 80GB VRAM • Amazon AWS $6.88/hour 8x GPU configuration Updated: 9/28/2026 ★Best Price Not Available AWS EC2 Pricing API
H200 141GB VRAM • Amazon AWS	$7.91/hr★ Best 8x GPU	Not Available	—	AWS EC2 Pricing API
H200 141GB VRAM • Amazon AWS $7.91/hour 8x GPU configuration Updated: 9/28/2026 ★Best Price Not Available AWS EC2 Pricing API
L4 24GB VRAM • Amazon AWS	$0.80/hr★ Best	Not Available	—	AWS EC2 Pricing API
L4 24GB VRAM • Amazon AWS $0.80/hour Updated: 9/28/2026 ★Best Price Not Available AWS EC2 Pricing API
L40S 48GB VRAM • Amazon AWS	$1.86/hr★ Best	Not Available	—	AWS EC2 Pricing API
L40S 48GB VRAM • Amazon AWS $1.86/hour Updated: 9/28/2026 ★Best Price Not Available AWS EC2 Pricing API
Tesla T4 16GB VRAM • Amazon AWS	$0.53/hr★ Best	Not Available	—	AWS EC2 Pricing API
Tesla T4 16GB VRAM • Amazon AWS $0.53/hour Updated: 9/28/2026 ★Best Price Not Available AWS EC2 Pricing API

A10 24GB VRAM • Amazon AWS	$1.01/hr★ Best	Not Available	—	AWS EC2 Pricing API
A10 24GB VRAM • Amazon AWS $1.01/hour Updated: 9/28/2026 ★Best Price Not Available AWS EC2 Pricing API
A100 SXM 80GB VRAM • Amazon AWS	$2.74/hr★ Best 8x GPU	Not Available	—	AWS EC2 Pricing API
A100 SXM 80GB VRAM • Amazon AWS $2.74/hour 8x GPU configuration Updated: 9/28/2026 ★Best Price Not Available AWS EC2 Pricing API
H100 SXM 80GB VRAM • Amazon AWS	$6.88/hr★ Best 8x GPU	Not Available	—	AWS EC2 Pricing API
H100 SXM 80GB VRAM • Amazon AWS $6.88/hour 8x GPU configuration Updated: 9/28/2026 ★Best Price Not Available AWS EC2 Pricing API
H200 141GB VRAM • Amazon AWS	$7.91/hr★ Best 8x GPU	Not Available	—	AWS EC2 Pricing API
H200 141GB VRAM • Amazon AWS $7.91/hour 8x GPU configuration Updated: 9/28/2026 ★Best Price Not Available AWS EC2 Pricing API
L4 24GB VRAM • Amazon AWS	$0.80/hr★ Best	Not Available	—	AWS EC2 Pricing API
L4 24GB VRAM • Amazon AWS $0.80/hour Updated: 9/28/2026 ★Best Price Not Available AWS EC2 Pricing API
L40S 48GB VRAM • Amazon AWS	$1.86/hr★ Best	Not Available	—	AWS EC2 Pricing API
L40S 48GB VRAM • Amazon AWS $1.86/hour Updated: 9/28/2026 ★Best Price Not Available AWS EC2 Pricing API
Tesla T4 16GB VRAM • Amazon AWS	$0.53/hr★ Best	Not Available	—	AWS EC2 Pricing API
Tesla T4 16GB VRAM • Amazon AWS $0.53/hour Updated: 9/28/2026 ★Best Price Not Available AWS EC2 Pricing API

LLM API Pricing Comparison

Total models: 139Both available: 24Amazon AWS: 55Prime Intellect: 108

Showing 15 of 139 models

Prices per 1M tokens · Last updated: 9/28/2026, 7:00:52 AM

Model ↑	Amazon AWS	Prime Intellect	Input Diff ↕
Claude 3 Haiku Anthropic	$0.250 in $1.25 out	Not available	—
Claude 3.5 Haiku Anthropic	$0.800 in $4.00 out	Not available	—
Claude 3.5 Sonnet Anthropic	$3.00 in $15.00 out	Not available	—
Claude 3.7 Sonnet Anthropic	$3.00 in $15.00 out	Not available	—
Claude 4 Sonnet Anthropic	Not available	$3.00 in $15.00 out	—
Claude Fable 5 Anthropic	Not available	$10.00 in $50.00 out	—
Claude Fable 5.1 Anthropic	Not available	$10.00 in $50.00 out	—
Claude Haiku 4.5 Anthropic	$1.10 in $5.50 out	$1.00 in $5.00 out	$0.100
Claude Opus 4.1 Anthropic	$15.00 in $75.00 out	$15.00 in $75.00 out	$0.0000
Claude Opus 4.5 Anthropic	$5.50 in $27.50 out	$5.00 in $25.00 out	$0.500
Claude Opus 4.6 Anthropic	$5.50 in $27.50 out	$5.00 in $25.00 out	$0.500
Claude Opus 4.7 Anthropic	Not available	$5.00 in $25.00 out	—
Claude Opus 4.8 Anthropic	Not available	$5.00 in $25.00 out	—
Claude Opus 5 Anthropic	Not available	$5.00 in $25.00 out	—
Claude Sonnet 4.5 Anthropic	$3.30 in $16.50 out	$3.00 in $15.00 out	$0.300

Features Comparison

Amazon AWS

Global Infrastructure
Extensive network of data centers across multiple regions worldwide
Pay-as-you-go Pricing
Flexible pricing model with no upfront commitments required
Advanced Security
Comprehensive security tools and compliance certifications
Auto Scaling
Automatically adjust resources based on demand
Integrated Services
Extensive ecosystem of services that work seamlessly together
Developer Tools
Comprehensive suite of tools for development, deployment, and management

Prime Intellect

Multi-provider GPU access
On-demand access to 1 to 256 GPUs sourced from many clouds, managed from one dashboard, CLI, and API
Reserved clusters
Large-cluster requests sent to 50+ data centers for parallel quotes, from H100 and H200 to B200, B300, and GB300 NVL72
Prime Intellect Inference
OpenAI-compatible API for hosted open-weight models and gateway access to OpenAI, Anthropic, Google, xAI, and other model families, billed per token
Hosted RL training
Lab runs reinforcement-learning post-training against environments from the Environments Hub, with LoRA adapters deployable for inference
Orchestration and networking
SLURM and Kubernetes orchestration, InfiniBand networking, and Grafana monitoring for clusters
Spot resale
Idle reserved nodes can be put on Prime Intellect's spot market

Pros & Cons

Amazon AWS

Advantages

Broad range of compute options including GPUs
Highly scalable and reliable infrastructure
Pay-as-you-go pricing with cost optimization tools
Extensive global network of data centers

Considerations

Complex pricing structure
Steep learning curve for new users
Potential for unexpected costs without proper management

Prime Intellect

Advantages

One account for GPUs across many underlying providers
Per-token inference rates are published through a public models endpoint
Inference, training, and GPU rental on the same platform
Publishes open-source models, datasets, and RL tooling

Considerations

GPU rates are only available after sign-in through the availability API, so they are not tracked here
As an aggregator, hardware, networking, and support depend on the underlying provider
Gateway models are routed to other inference providers rather than served on Prime Intellect's own hardware

Compute Services

Amazon AWS

Amazon EC2

Virtual servers in the cloud with a wide range of instance types.

Amazon ECS

Fully managed container orchestration service.

Support for Docker containers
Integration with other AWS services

Amazon EKS

Managed Kubernetes service for container orchestration.

Certified Kubernetes conformant
Integrates with AWS networking and security services

Prime Intellect

Pricing Options

Amazon AWS

On-Demand Instances

Pay for compute capacity by the second with no long-term commitments.

Spot Instances

Use spare EC2 capacity at up to 90% off the On-Demand price.

Reserved Instances

Save up to 72% compared to On-Demand pricing with a 1 or 3-year commitment.

Savings Plans

Save up to 72% on compute usage with a 1 or 3-year commitment to a consistent amount of usage.

EC2 Capacity Blocks for ML

Reserve accelerated compute capacity for a future start date and a defined duration; billed as an upfront reservation fee plus an operating system fee.

Prime Intellect

On-demand GPUs

Hourly rates set per underlying provider, with community and spot tiers where available

Reserved clusters

Quoted per request from participating data centers

Per token

Inference billed per 1M input and output tokens, with cached-input rates on hosted models

Getting Started

Amazon AWS

Get Started

1
Sign up for AWS
Create an AWS account to access the cloud platform.
2
Choose a compute service
Select from EC2, Lambda, or container services based on your workload needs.
3
Launch an instance
Configure and launch your first compute instance or container.
4
Set up security
Configure security groups and access controls for your resources.
5
Monitor and optimize
Use AWS CloudWatch and Compute Optimizer to monitor performance and reduce costs.

Prime Intellect

Get Started

1
Create an account
Sign up at app.primeintellect.ai
2
Rent GPUs
Pick a GPU type, count, and provider from the availability list, then provision from the dashboard or the prime CLI
3
Call the inference API
Create an API key and point an OpenAI-compatible client at api.pinference.ai

Support & Global Availability

Amazon AWS

Global Regions

39 geographic regions and 123 availability zones worldwide.

Support

Basic (free), Developer, Business, Enterprise support plans with varying response times and features. Extensive documentation, forums, and training resources.

Prime Intellect

Support

Documentation, plus direct assistance from the research and infrastructure engineering team and a dedicated solutions engineer for reserved-cluster customers