Google Cloud vs Vultr
Compare GPU pricing, features, and specifications between Google Cloud and Vultr cloud providers. Find the best deals for AI training, inference, and ML workloads.
Google Cloud
Provider 1
Vultr
Provider 2
Comparison Overview
GPU Pricing Comparison
| GPU Model ↑ | Google Cloud Price | Vultr Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 PCIE 40GB VRAM • Vultr | Not Available | — | ||
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • Vultr | Not Available | 8x GPU | — | |
A100 SXM 80GB VRAM • | ||||
A16 64GB VRAM • Vultr | Not Available | — | ||
A16 64GB VRAM • | ||||
A40 48GB VRAM • Vultr | Not Available | — | ||
A40 48GB VRAM • | ||||
B200 192GB VRAM • Vultr | Not Available | — | ||
B200 192GB VRAM • | ||||
GB300 576GB VRAM • Vultr | Not Available | 4x GPU | — | |
GB300 576GB VRAM • | ||||
GH200 96GB VRAM • Vultr | Not Available | — | ||
GH200 96GB VRAM • | ||||
H100 80GB VRAM • Vultr | Not Available | — | ||
H100 80GB VRAM • | ||||
HGX B300 288GB VRAM • Vultr | Not Available | 8x GPU | — | |
HGX B300 288GB VRAM • | ||||
L4 24GB VRAM • Google Cloud | Not Available | — | ||
L4 24GB VRAM • | ||||
L40S 48GB VRAM • Vultr | Not Available | — | ||
L40S 48GB VRAM • | ||||
MI300X 192GB VRAM • Vultr | Not Available | — | ||
MI300X 192GB VRAM • | ||||
MI325X 256GB VRAM • Vultr | Not Available | — | ||
MI325X 256GB VRAM • | ||||
MI355X 288GB VRAM • Vultr | Not Available | — | ||
MI355X 288GB VRAM • | ||||
Tesla T4 16GB VRAM • Google Cloud | Not Available | — | ||
Tesla T4 16GB VRAM • | ||||
A100 PCIE 40GB VRAM • Vultr | Not Available | — | ||
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • Vultr | Not Available | 8x GPU | — | |
A100 SXM 80GB VRAM • | ||||
A16 64GB VRAM • Vultr | Not Available | — | ||
A16 64GB VRAM • | ||||
A40 48GB VRAM • Vultr | Not Available | — | ||
A40 48GB VRAM • | ||||
B200 192GB VRAM • Vultr | Not Available | — | ||
B200 192GB VRAM • | ||||
GB300 576GB VRAM • Vultr | Not Available | 4x GPU | — | |
GB300 576GB VRAM • | ||||
GH200 96GB VRAM • Vultr | Not Available | — | ||
GH200 96GB VRAM • | ||||
H100 80GB VRAM • Vultr | Not Available | — | ||
H100 80GB VRAM • | ||||
HGX B300 288GB VRAM • Vultr | Not Available | 8x GPU | — | |
HGX B300 288GB VRAM • | ||||
L4 24GB VRAM • Google Cloud | Not Available | — | ||
L4 24GB VRAM • | ||||
L40S 48GB VRAM • Vultr | Not Available | — | ||
L40S 48GB VRAM • | ||||
MI300X 192GB VRAM • Vultr | Not Available | — | ||
MI300X 192GB VRAM • | ||||
MI325X 256GB VRAM • Vultr | Not Available | — | ||
MI325X 256GB VRAM • | ||||
MI355X 288GB VRAM • Vultr | Not Available | — | ||
MI355X 288GB VRAM • | ||||
Tesla T4 16GB VRAM • Google Cloud | Not Available | — | ||
Tesla T4 16GB 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.
Vultr
- AMD and NVIDIA GPU Options
Access to diverse GPU options including AMD Instinct and NVIDIA Tensor Core GPUs
- Global Availability
Deploy GPU resources across 32 cloud data center regions worldwide
- Kubernetes Support
Vultr Kubernetes Engine for GPU-accelerated containerized workloads
- Serverless Inference
Deploy and scale GenAI models quickly with Vultr Serverless Inference
- Virtual Machines and Bare Metal
Choose between GPU-accelerated VMs or dedicated bare metal servers
- Global Content Delivery
Accelerate content delivery across six continents with Vultr CDN
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
Vultr
Advantages
- Wide range of AMD and NVIDIA GPU options
- Extensive global network (32 data center regions)
- Both VM and bare metal deployment options
- Kubernetes and containerization support
Considerations
- Medium GPU availability compared to some specialized providers
- Less established in the GPU market compared to major hyperscalers
- Limited documentation specific to GPU workloads
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
Vultr
NVIDIA GPU Instances
Virtual machines and bare metal servers with NVIDIA GPUs
AMD GPU Instances
Computing infrastructure powered by AMD Instinct accelerators
Vultr Kubernetes Engine
Managed Kubernetes service for GPU-accelerated containerized applications
- GPU-accelerated Kubernetes clusters
- Global deployment options
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.
Vultr
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.
Vultr
- 1
Create an account
Sign up for a free Vultr account
- 2
Select GPU instance
Choose from AMD or NVIDIA GPU options based on your workload
- 3
Choose deployment type
Select between virtual machine or bare metal deployment
- 4
Configure and launch
Set up networking, storage, and security options before launching
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.
Vultr
Global Regions
32 global cloud data center regions across North America, South America, Europe, Asia, Africa, and Australia
Support
Documentation, community forums, support tickets, and dedicated customer support
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