Thunder Compute versus Massed Compute
Thunder Compute
Ideal For
Data scientists can run models on their desired GPU without infrastructure hassle
AI engineers can prototype in CPU mode before switching to GPU for execution
Developers can execute complex simulations quickly
Startups can leverage GPU power without significant upfront costs
Key Strengths
Efficient and fast GPU access
No upfront infrastructure costs
Scalable resources for varying needs
Core Features
Virtualized GPUs for enhanced efficiency
Pay only for active GPU usage
Scale GPU resources effortlessly
Access GPUs on demand without reservations
Massed Compute
Ideal For
AI model training
VFX rendering
Scientific simulations
Data analytics and visualization
Key Strengths
Scalable GPU options
Cost-effective rental pricing
No long-term contracts required
Core Features
On-demand GPU rentals
Flexible and affordable pricing
Tier III data center infrastructure
Timely problem-solving assistance
Scalable resources for different project sizes