Thunder Compute - Never pay for idle GPUs - Deploy AI models in under 60 seconds

Thunder Compute Never pay for idle GPUs - Deploy AI models in under 60 seconds

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Home: https://thundercompute.com

Developer Tools

#GPU
#Cloud Computing
#Machine Learning
#virtualization
#infrastructure
#compute resources

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What is Thunder Compute?

Thunder Compute revolutionizes cloud GPU usage through its innovative virtualization technology that enables network-attached GPUs to be shared across multiple cloud instances. The platform streamlines AI and ML development by eliminating complex driver configurations and infrastructure management, while offering significant cost savings through a pay-per-use model.

The service features advanced GPU virtualization that achieves up to 5x higher utilization rates, benefiting both environmental sustainability and cost-effectiveness. Its seamless integration allows developers to access GPUs with a single line of code, while enterprises can manage resources efficiently without the overhead of traditional infrastructure management.

Features

Quick Setup: One-line installation with pip install tnr
Network-attached GPUs: Share GPU resources across multiple cloud instances
Pay-per-use Billing: Only charged for actual GPU usage time
Automated Infrastructure: No manual configuration or driver setup required
High Utilization: Up to 5x higher GPU utilization rates
Instant Scaling: Seamless scaling from single GPU to clusters
Free NVIDIA T4 Access: Included with basic subscription

Use Cases

AI Model Development
Machine Learning Training
GPU-intensive Computations
Research and Development
Enterprise AI Development
Prototype Development
Multi-client GPU Resource Management

FAQs

How much does it cost to use Thunder Compute?

Thunder Compute offers $20/month free credit with free NVIDIA T4s. Additional T4 GPUs cost $0.40/GPU/hour, and A100 GPUs cost $2.20/GPU/hour. Base instance rate is $0.075/core/hour.
What GPU options are available?

Thunder Compute offers NVIDIA T4 GPUs (including free tier) and NVIDIA A100 40GB GPUs for more demanding workloads.
How do I get started with Thunder Compute?

You can start by installing Thunder Compute using 'pip install tnr' command, which provides immediate access to GPUs without any driver configuration.