What is Race?
TL;DRRace is an India-focused GPU cloud for AI developers that provides on-demand H200, H100, A100, RTX, and L40S compute with INR billing, GST invoices, Indian regions, fast SSH provisioning, preconfigured ML environments, and production inference infrastructure.
- Provides on-demand GPU instances in Indian regions with INR billing and GST invoices.
- Preconfigures CUDA and common ML frameworks for fast SSH-based development.
- Adds inference endpoints, warm containers, persistent environments, and FLOP rewards.
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About
Race is an India-focused GPU cloud for AI developers and teams that need on-demand compute with INR billing, GST invoices, Indian regions, and fast provisioning. It offers GPU instances for training, inference, and development workloads.
Users can select GPUs including H200, H100, A100, RTX 5090, RTX 4090, and L40S configurations, then connect over SSH or use preconfigured environments.
Race combines on-demand GPU infrastructure with warm containers, persistent environments, templates, inference endpoints, monitoring, and FLOP-based rewards.
Race is best for Indian AI developers, startups, researchers, and teams training or deploying models. Users should compare GPU availability, rates, storage, and workload performance before choosing an instance.
Use Cases
Model Training
Rent high-end GPUs in India for training machine-learning and generative AI models without long-term hardware commitments.
Model Inference
Deploy AI models to production endpoints with scalable GPU compute and monitoring.
AI Development
Launch preconfigured CUDA, PyTorch, JAX, and related environments for experimentation and development.
India-Native Compute
Use INR billing, UPI, GST invoices, and Indian data-center regions for local AI workloads.
Key Features
- On-demand GPU instances
- Indian-region INR billing and GST invoices
- Preconfigured ML environments
- Inference endpoints and monitoring
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Pricing summary
Race uses pay-as-you-go GPU pricing rather than fixed subscriptions. Current published examples include RTX 4090 at ₹50/hour, A100 at ₹125/hour, and H100 SXM5 at ₹225/hour.
Pricing & Plans
Popular
GPU Cloud
Pay for compute as used
Custom
- Per-minute GPU billing
- H100 and A100 options
- SSH and root access
- Indian-region infrastructure
Other pricing notes
- GPU pricing checked September 1
- 2026 on the official Race pricing page.
Pricing last checked: September 2026Official pricing
Pros & Cons
Pros
- Built for Indian AI teams
- No currency conversion markup
- Fast GPU provisioning
- Common ML stacks preconfigured
- Multiple high-end GPU options
Cons
- GPU availability can vary by region
- Costs vary by GPU model
- Compute-heavy focus
- Storage needs separate evaluation
- Smaller footprint than global clouds
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