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For AI/ML Teams

Train models.
Not budgets.

Reduce AI training costs by up to 90%. Access distributed compute instantly. No 6-month hardware waitlists. No cloud vendor lock-in.

We know the pain

Cloud bills eating your runway

90% cost reduction with distributed compute

6-month waitlist for H100s

Instant access to 500M+ GPUs worldwide

Vendor lock-in with AWS/GCP

Open source, run anywhere

Scaling up = new infrastructure

Elastic scaling, pay for what you use

How it works for your team

Minimal changes to your workflow. Maximum impact on your budget.

1

Connect

Point your training script to VoidAI endpoint. One line change.

2

Distribute

We automatically shard your model across available compute.

3

Train

DiLoCo-based training handles sync, compression, fault tolerance.

4

Ship

Get your trained model. Pay 90% less than cloud.

Built for production ML

PyTorch Compatible

Drop-in replacement. Change one import.

📊

Experiment Tracking

Built-in logging, metrics, checkpoints.

🔄

Auto Checkpointing

Never lose training progress.

📈

Elastic Scaling

Add/remove GPUs mid-training.

🛡️

Fault Tolerant

Nodes can fail. Training continues.

🔐

Data Privacy

Your data stays on your infrastructure.

90%

Cost savings

0

Hardware waitlist

1 line

Code change

24/7

Support available

Ready to cut your training costs?

Talk to our team. We'll show you exactly how much you'll save.