Amazon AWS vs Jarvis Labs
Compare GPU pricing, features, and specifications between Amazon AWS and Jarvis Labs cloud providers. Find the best deals for AI training, inference, and ML workloads.
Amazon AWS
Provider 1
Jarvis Labs
Provider 2
Comparison Overview
Average Price Difference: $15.12/hour between comparable GPUs
GPU Pricing Comparison
| GPU Model ↑ | Amazon AWS Price | Jarvis Labs Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A10 24GB VRAM • Amazon AWS |  $1.63/hr★ Best | Not Available | — | |
A10 24GB VRAM • | ||||
A100 PCIE 40GB VRAM • Amazon AWS | $1.48/hr★ Best 8x GPU | Not Available | — | |
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • Amazon AWSJarvis Labs | $1.48/hr 8x GPU |  $1.29/hr★ Best | ↑+$0.19(+14.3%) | |
A100 SXM 80GB VRAM • Amazon AWS$1.48/hour 8x GPU configuration Updated: 2/8/2026 Jarvis Labs$1.29/hour Updated: 2/20/2026 ★Best Price Price Difference:↑+$0.19(+14.3%) | ||||
B200 192GB VRAM • Amazon AWS | $74.88/hr★ Best 8x GPU | Not Available | — | |
B200 192GB VRAM • | ||||
H100 80GB VRAM • Amazon AWSJarvis Labs | $3.93/hr★ Best 8x GPU | $23.92/hr 8x GPU | ↓$19.99(83.6%) | |
H100 80GB VRAM • Amazon AWS$3.93/hour 8x GPU configuration Updated: 2/8/2026 ★Best Price Jarvis Labs$23.92/hour 8x GPU configuration Updated: 2/20/2026 Price Difference:↓$19.99(83.6%) | ||||
H200 141GB VRAM • Amazon AWSJarvis Labs | $5.20/hr★ Best 8x GPU | $30.40/hr 8x GPU | ↓$25.20(82.9%) | |
H200 141GB VRAM • Amazon AWS$5.20/hour 8x GPU configuration Updated: 2/1/2026 ★Best Price Jarvis Labs$30.40/hour 8x GPU configuration Updated: 2/20/2026 Price Difference:↓$25.20(82.9%) | ||||
HGX B300 288GB VRAM • Amazon AWS | $93.60/hr★ Best 8x GPU | Not Available | — | |
HGX B300 288GB VRAM • | ||||
RTX 6000 Ada 48GB VRAM • Jarvis Labs | Not Available | $0.99/hr★ Best | — | |
RTX 6000 Ada 48GB VRAM • | ||||
RTX A5000 24GB VRAM • Jarvis Labs | Not Available | $0.49/hr★ Best | — | |
RTX A5000 24GB VRAM • | ||||
RTX A6000 48GB VRAM • Jarvis Labs | Not Available | $0.79/hr★ Best | — | |
RTX A6000 48GB VRAM • | ||||
A10 24GB VRAM • Amazon AWS | $1.63/hr★ Best | Not Available | — | |
A10 24GB VRAM • | ||||
A100 PCIE 40GB VRAM • Amazon AWS | $1.48/hr★ Best 8x GPU | Not Available | — | |
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • Amazon AWSJarvis Labs | $1.48/hr 8x GPU | $1.29/hr★ Best | ↑+$0.19(+14.3%) | |
A100 SXM 80GB VRAM • Amazon AWS$1.48/hour 8x GPU configuration Updated: 2/8/2026 Jarvis Labs$1.29/hour Updated: 2/20/2026 ★Best Price Price Difference:↑+$0.19(+14.3%) | ||||
B200 192GB VRAM • Amazon AWS | $74.88/hr★ Best 8x GPU | Not Available | — | |
B200 192GB VRAM • | ||||
H100 80GB VRAM • Amazon AWSJarvis Labs | $3.93/hr★ Best 8x GPU | $23.92/hr 8x GPU | ↓$19.99(83.6%) | |
H100 80GB VRAM • Amazon AWS$3.93/hour 8x GPU configuration Updated: 2/8/2026 ★Best Price Jarvis Labs$23.92/hour 8x GPU configuration Updated: 2/20/2026 Price Difference:↓$19.99(83.6%) | ||||
H200 141GB VRAM • Amazon AWSJarvis Labs | $5.20/hr★ Best 8x GPU | $30.40/hr 8x GPU | ↓$25.20(82.9%) | |
H200 141GB VRAM • Amazon AWS$5.20/hour 8x GPU configuration Updated: 2/1/2026 ★Best Price Jarvis Labs$30.40/hour 8x GPU configuration Updated: 2/20/2026 Price Difference:↓$25.20(82.9%) | ||||
HGX B300 288GB VRAM • Amazon AWS | $93.60/hr★ Best 8x GPU | Not Available | — | |
HGX B300 288GB VRAM • | ||||
RTX 6000 Ada 48GB VRAM • Jarvis Labs | Not Available | $0.99/hr★ Best | — | |
RTX 6000 Ada 48GB VRAM • | ||||
RTX A5000 24GB VRAM • Jarvis Labs | Not Available | $0.49/hr★ Best | — | |
RTX A5000 24GB VRAM • | ||||
RTX A6000 48GB VRAM • Jarvis Labs | Not Available | $0.79/hr★ Best | — | |
RTX A6000 48GB VRAM • | ||||
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
Jarvis Labs
- Instant GPU Access
Get access to powerful GPUs instantly with zero setup complexity
- Customizable Environments
Wide range of pre-configured templates for various AI/ML frameworks
- Pay-as-you-go
Flexible pricing model with no upfront commitments
- Enterprise-grade Infrastructure
Reliable and scalable infrastructure for production workloads
- Instance Management
Easy pause, resume, and delete functionality for cost optimization
- SSH Access
Full SSH access to instances for complete control
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
Jarvis Labs
Advantages
- Quick setup - get started in less than 5 minutes
- Easy instance lifecycle management (pause, resume, delete)
- Ability to switch GPU types when resuming instances
- Wide range of pre-configured templates
Considerations
- Limited information available about specific GPU types
- Regional availability details not clearly specified
- Newer player compared to established cloud providers
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
Jarvis Labs
GPU Instances
On-demand GPU instances with various configuration options
- Pre-configured templates for popular ML frameworks
- Scalable GPU resources
Managed Workbenches
Spin up notebooks or VMs with NVIDIA GPUs.
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.
Jarvis Labs
Getting Started
Amazon AWS
- 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.
Jarvis Labs
- 1
Create a New Account
Sign up for a new account on the Jarvis Labs platform
- 2
Recharge Your Wallet
Add funds to your account in the Recharge section
- 3
Choose and Launch a Template
Explore the wide range of templates, configure your desired setup, and click Launch
- 4
Manage Your Instances
Easily pause ⏸️, resume ▶️, and delete 🗑️ your instances with just a few clicks
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.
Jarvis Labs
Global Regions
Multiple regions available with flexibility to resume instances within the same region
Support
Documentation, tutorials, and getting started guides available
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