Amazon AWS vs Cohere

Compare GPU pricing, features, and specifications between Amazon AWS and Cohere cloud providers. Find the best deals for AI training, inference, and ML workloads.

Amazon AWS logo

Amazon AWS

Provider 1

7
GPUs Available
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Cohere logo

Cohere

Provider 2

0
GPUs Available
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Comparison Overview

7
Total GPU Models
Amazon AWS logo
7
Amazon AWS GPUs
Cohere logo
0
Cohere GPUs
0
Direct Comparisons

GPU Pricing Comparison

Total GPUs: 7Both available: 0Amazon AWS: 7Cohere: 0
Showing 7 of 7 GPUs
Last updated: 3/6/2026, 3:47:59 PM
A10
24GB VRAM •
Amazon AWSAmazon AWS
$1.42/hour
4x GPU configuration
Updated: 2/24/2025
Best Price
Not Available
A100 PCIE
40GB VRAM •
Amazon AWSAmazon AWS
$1.48/hour
8x GPU configuration
Updated: 3/31/2025
Best Price
Not Available
A100 SXM
80GB VRAM •
Amazon AWSAmazon AWS
$0.18/hour
8x GPU configuration
Updated: 3/3/2026
Best Price
Not Available
B200
192GB VRAM •
Amazon AWSAmazon AWS
$0.15/hour
72x GPU configuration
Updated: 3/3/2026
Best Price
Not Available
H100
80GB VRAM •
Amazon AWSAmazon AWS
$0.49/hour
8x GPU configuration
Updated: 3/3/2026
Best Price
Not Available
H200
141GB VRAM •
Amazon AWSAmazon AWS
$0.62/hour
8x GPU configuration
Updated: 3/3/2026
Best Price
Not Available
HGX B300
288GB VRAM •
Amazon AWSAmazon AWS
$1.46/hour
8x GPU configuration
Updated: 3/3/2026
Best Price
Not Available

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

Cohere

  • Command Model Family

    High-performance language models supporting 23 languages with Command, Command R, and Command R+ variants

  • Aya Multilingual Models

    Research-grade multilingual models (8B and 32B) excelling across diverse languages

  • Embed & Rerank

    Multimodal semantic search and relevance optimization for retrieval-augmented generation

  • Flexible Deployment

    Deploy via cloud API, virtual private cloud, on-premises, or Cohere-managed Model Vault

  • Enterprise Platform (North)

    Enterprise-ready AI platform for workplace productivity with intelligent search

  • Model Customization

    Fine-tune models on proprietary data for domain-specific applications

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

Cohere

Advantages
  • Strong enterprise security and compliance focus
  • Flexible deployment options including on-premises
  • Excellent multilingual support with Aya models
  • Competitive pricing for high-quality models
Considerations
  • Smaller model ecosystem compared to OpenAI or Anthropic
  • Less name recognition in consumer AI space
  • Enterprise features may be overkill for smaller projects

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

Cohere

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.

Cohere

Pay-per-token

Per million token pricing starting at $0.30/$0.60 for Command-light

Trial API Key

Free tier with rate limiting for development and testing

Enterprise

Custom pricing for dedicated deployments, Model Vault, and on-premises

Getting Started

Amazon AWS

Get Started
  1. 1
    Sign up for AWS

    Create an AWS account to access the cloud platform.

  2. 2
    Choose a compute service

    Select from EC2, Lambda, or container services based on your workload needs.

  3. 3
    Launch an instance

    Configure and launch your first compute instance or container.

  4. 4
    Set up security

    Configure security groups and access controls for your resources.

  5. 5
    Monitor and optimize

    Use AWS CloudWatch and Compute Optimizer to monitor performance and reduce costs.

  1. 1
    Create Cohere account

    Sign up at dashboard.cohere.com

  2. 2
    Get API key

    Generate a trial or production API key from the dashboard

  3. 3
    Install SDK

    pip install cohere (Python) or npm install cohere-ai (TypeScript)

  4. 4
    Make first API call

    Call the Chat or Generate endpoint with your API key

Support & Global Availability

Amazon AWS

Global Regions

30+ regions and 100+ availability zones worldwide.

Support

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

Cohere

Global Regions

Global API access with deployment options including AWS, GCP, Azure, and on-premises installations

Support

Documentation, API reference, cookbooks, Discord community, and enterprise support options