Google Cloud vs Jarvis Labs
Compare GPU pricing, features, and specifications between Google Cloud and Jarvis Labs cloud providers. Find the best deals for AI training, inference, and ML workloads.
Google Cloud
Provider 1
Jarvis Labs
Provider 2
Comparison Overview
GPU Pricing Comparison
| GPU Model ↑ | Google Cloud Price | Jarvis Labs Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 SXM 80GB VRAM • Jarvis Labs | Not Available |  $1.29/hr★ Best | — | |
A100 SXM 80GB VRAM • | ||||
H100 80GB VRAM • Jarvis Labs | Not Available | $23.92/hr★ Best 8x GPU | — | |
H100 80GB VRAM • | ||||
H200 141GB VRAM • Jarvis Labs | Not Available | $30.40/hr★ Best 8x GPU | — | |
H200 141GB VRAM • | ||||
L4 24GB VRAM • Google Cloud |  $0.56/hr★ Best8x GPU | Not Available | — | |
L4 24GB 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 • | ||||
Tesla T4 16GB VRAM • Google Cloud | $0.55/hr★ Best 4x GPU | Not Available | — | |
Tesla T4 16GB VRAM • | ||||
Tesla V100 32GB VRAM • Google Cloud | $2.48/hr★ Best 8x GPU | Not Available | — | |
Tesla V100 32GB VRAM • | ||||
A100 SXM 80GB VRAM • Jarvis Labs | Not Available | $1.29/hr★ Best | — | |
A100 SXM 80GB VRAM • | ||||
H100 80GB VRAM • Jarvis Labs | Not Available | $23.92/hr★ Best 8x GPU | — | |
H100 80GB VRAM • | ||||
H200 141GB VRAM • Jarvis Labs | Not Available | $30.40/hr★ Best 8x GPU | — | |
H200 141GB VRAM • | ||||
L4 24GB VRAM • Google Cloud | $0.56/hr★ Best 8x GPU | Not Available | — | |
L4 24GB 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 • | ||||
Tesla T4 16GB VRAM • Google Cloud | $0.55/hr★ Best 4x GPU | Not Available | — | |
Tesla T4 16GB VRAM • | ||||
Tesla V100 32GB VRAM • Google Cloud | $2.48/hr★ Best 8x GPU | Not Available | — | |
Tesla V100 32GB VRAM • | ||||
Features Comparison
Google Cloud
- Compute Engine
Scalable virtual machines with a wide range of machine types, including GPUs.
- Google Kubernetes Engine (GKE)
Managed Kubernetes service for deploying and managing containerized applications.
- Cloud Functions
Event-driven serverless compute platform.
- Cloud Run
Fully managed serverless platform for containerized applications.
- Vertex AI
Unified ML platform for building, deploying, and managing ML models.
- Preemptible VMs
Short-lived compute instances at a significant discount, suitable for fault-tolerant workloads.
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
Google Cloud
Advantages
- Flexible pricing options, including sustained use discounts
- Strong AI and machine learning tools (Vertex AI)
- Good integration with other Google services
- Cutting-edge Kubernetes implementation (GKE)
Considerations
- Limited availability in some regions compared to AWS
- Complexity in managing resources
- Support can be costly
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
Google Cloud
Compute Engine
Offers customizable virtual machines running in Google's data centers.
Google Kubernetes Engine (GKE)
Managed Kubernetes service for running containerized applications.
- Automated Kubernetes operations
- Integration with Google Cloud services
Cloud Functions
Serverless compute platform for running code in response to events.
- Automatic scaling and high availability
- Pay only for the compute time consumed
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
Google Cloud
On-Demand
Pay for compute capacity per hour or per second, with no long-term commitments.
Sustained Use Discounts
Automatic discounts for running instances for a significant portion of the month.
Committed Use Discounts
Save up to 57% with a 1-year or 3-year commitment to a minimum level of resource usage.
Preemptible VMs
Save up to 80% for fault-tolerant workloads that can be interrupted.
Jarvis Labs
Getting Started
Google Cloud
- 1
Create a Google Cloud project
Set up a project in the Google Cloud Console.
- 2
Enable billing
Set up a billing account to pay for resource usage.
- 3
Choose a compute service
Select Compute Engine, GKE, Cloud Functions, or Cloud Run based on your needs.
- 4
Create and configure an instance
Launch a VM instance, configure a Kubernetes cluster, or deploy a function/application.
- 5
Manage resources
Use the Cloud Console, command-line tools, or APIs to manage your resources.
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
Google Cloud
Global Regions
40+ regions and 120+ zones worldwide.
Support
Role-based (free), Standard, Enhanced and Premium support plans. Comprehensive documentation, community 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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