Enterprise AI Computing at 90% Lower Cost
Obit transforms idle hardware into a distributed computing network. Access thousands of GPUs for AI training, data processing, and scientific computing at 90–95% below traditional cloud pricing.
One Platform. Three Ways to Use It.
Researchers & Scientists
Run experiments, train machine learning models, and process large datasets without the massive costs of traditional cloud computing.
Learn MoreGPU Owners & Gamers
Make money from your gaming PC or mining rig when you're not using it. Earn more than cryptocurrency mining with less hassle.
Start EarningCompanies & Developers
Add powerful AI capabilities to your products without building expensive infrastructure. Simple integration, massive savings.
See HowHow We Save You Money
Instead of building expensive data centers, we leverage existing hardware worldwide, like gaming and mining rigs.
90% Lower Costs
We use existing hardware worldwide, which costs far less than building new data centers.
Instant Scaling
Need more power? We instantly connect you to thousands more computers worldwide in seconds.
Secure & Private
Each computer only sees small pieces of your dataset. Differential privacy enables extra privacy.
Always Available
If one computer goes offline, we automatically move your work to another one.
How It Works
Set up your first workload in minutes and less than 100 lines of code!
- 1
Submit
- 2
Distribute
- 3
Collect
Submit
Create a run in the dashboard or SDK (RL, fine-tuning, supervised learning, etc). Set GPUs, budget, time. We handle the environment, runtime and distribution.
Distribute
Scheduler splits work into tasks sent to gaming PCs, mining rigs & workstations. Differential privacy is available to protect the final outputs. Comes with instant, free retries if rigs disconnect.
Collect
Watch live metrics. Stop on a preset goal or convergence; checkpoints and outputs are available for download. You can use your own server for processing, if you need extra security.
When should I use Obit?
Teams use Obit for latency-tolerant, massively parallel runs where elasticity and price matter most. Below are the most common patterns we see in production.
- RLReinforcement Learning & multi-agent simulations (sample collection + policy optimization pipelines).
- HPHyperparameter & parameter sweeps (hundreds of short/medium trials orchestrated automatically).
- SIMPhysics / fluid / agent-based simulations requiring large numbers of massively parallel tasks.
- DATAETL, feature extraction & large batch dataset preprocessing (tokenization, embedding generation, etc.).
- SYNSynthetic data generation & augmentation pipelines for model bootstrapping or safety testing.
Submit → Distribute → Collect
Obit vs. Traditional Cloud Providers
See how our distributed approach compares to centralized cloud computing.
| Capability | Obit Network | AWS/GCP/Azure |
|---|---|---|
| Compute Cost (per H100-hour)* | $0.15 - $0.55 | $2.50 - $8.00 |
| Scaling Time (from 100 to 1000+ GPUs) | Less than 5 minutes | Hours to days |
| Automatic Multi-GPU Orchestration | Built into SDK | Not available |
| Bandwidth | Up to 200 Gbps | 1-10 Gbps |
| Interruptable Workload Discount** | Up to 99% off compute cost | 70-90% off compute cost |
| Dedicated Support | Available 12/7 via phone and email | Depends on plan |
*H100-equivalent computing power measured by TFLOPs at FP16 precision
**Compared to non-interruptible instances (On-Demand on AWS, Standard VM on GCP, Pay-As-You-Go VM on Azure)
Our Growing Network
500+
Active Contributors
1M+
Computing Jobs Completed
20+
AI Model Templates
$12K+
Earned by Contributors
Ready to Save 90% on Computing Costs?
Whether you're doing research, running a business, or want to earn money from your gaming computer—Obit makes powerful computing accessible and affordable for everyone.