☁️ GPU COMPUTE PLATFORM

GPU Cloud at 70% Lower Cost

On-demand access to 100,000+ distributed GPUs. Spot instances, reserved capacity, auto-scaling. No long-term contracts.

100K+ GPUs50+ Regions70% Savings99.9% Uptime

No credit card required. $50 free credits.

Why Developers Choose Griddly Cloud

70% Cost Savings

Distributed GPUs cost a fraction of AWS, Azure, or GCP.

Instant Provisioning

Spin up GPU instances in seconds instead of minutes.

Global Coverage

GPUs in 50+ regions with low latency around the world.

Auto-Scaling

Scale from 1 to 1000 GPUs automatically as load changes.

Pay Per Second

No minimum commitments. You only pay for what you use.

Enterprise Security

SOC2 Type II, encrypted data at rest and in transit, isolated workloads.

Choose Your GPU

From quick prototyping to large-scale production workloads.

GPU
VRAM
Spot Price
Reserved Price
Best For
RTX 4090
24GB
$0.40/hr
$0.32/hr
Training, Inference
RTX 4080
16GB
$0.30/hr
$0.24/hr
Fine-tuning, Rendering
RTX 3090
24GB
$0.35/hr
$0.28/hr
Training, Research
RTX 3080
10GB
$0.20/hr
$0.16/hr
Inference, Development
A100 80GB
80GB
$1.50/hr
$1.20/hr
Large Models, Enterprise
H100
80GB
$2.50/hr
$2.00/hr
LLM Training, HPC

Prices are estimates. Actual pricing depends on availability and demand.

Built for AI Workloads

Model Training

Train machine learning models at scale with distributed GPUs.

Inference

Deploy low-latency inference endpoints for your applications.

Fine-tuning

Fine-tune LLMs and diffusion models on your own data.

Rendering

3D rendering, video processing, and VFX pipelines.

Start in Minutes

Create Account

Sign up free and receive $50 in credits.

Choose Instance

Select GPU type, region, and pricing model.

Deploy & Scale

Launch workloads and scale them as needed.

Built for Developers

  • CLI & SDK - Python, JavaScript, and Go SDKs with full CLI support.
  • API First - RESTful API, GraphQL endpoints, and webhooks.
  • Docker Native - Deploy containers directly from your registry.
  • Jupyter Notebooks - Run interactive notebooks on GPU instances.
  • VS Code Integration - Remote development support out of the box.
  • GitHub Actions - CI/CD workflows that target Griddly Cloud.

$ Install Griddly CLI

pip install griddly

# Launch GPU instance
griddly run --gpu rtx4090 --image pytorch/pytorch

# Scale to 10 instances
griddly scale --replicas 10

How We Compare

Feature
Griddly
AWS
Azure
GCP
RTX 4090 Price
$0.40/hr
N/A
N/A
N/A
A100 Price
$1.50/hr
$3.50/hr
$3.20/hr
$3.00/hr
Min Commitment
None
1 hour
1 hour
1 min
Regions
50+
25+
60+
35+
Setup Time
Seconds
Minutes
Minutes
Minutes

Works With Your Stack

PyTorch
TensorFlow
Hugging Face
LangChain
Docker
Kubernetes
GitHub
GitLab
Jenkins
Terraform

Frequently Asked Questions

Ready to Start Building?

Get $50 in free credits and start running workloads today. No credit card required.

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