Train

Train high-performance SLMs with less data.
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Free
2 training runs
Local deployment for R&D
Inference playground
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1000 eur
10 training runs
Local deployment for R&D
Inference playground
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Deploy

Deploy your SLMs the way that suits you the most. Let’s build together.
Self-hosting
Annual commercial license for local deployment
Perfect for processing sensitive data & on-premise applications
Accuracy matching 50-500x larger models
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Inference
API endpoint with access to your model
Dedicated instance ideal for high-throughput use cases
50-90% lower inference costs
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What our clients say

With distil labs, we built a custom model using just ~100 datapoints in days. The self-service retraining has been especially valuable for our team-we can retrain the model ourselves with new data. The distil labs team was responsive and guided us through the entire process.
Sascha Bührle
Co-Founder & CEO at Uptime Industries
Sascha Bührle

Co-Founder & CEO at Uptime Industries

The collaboration with distil labs shows whats possible when you fine-tune small language models and deploy them on IBM Power. It is not just about the performance–it's about delivering private, accurate AI that's ready for enterprise scale.
Unnikrishnan Rajagopal
Director at IBM Power
Unnikrishnan Rajagopal

Director at IBM Power

Using distil labs, we were able to spin up highly accurate custom small models tailored to our workflows in no time. Those models cut our inference costs by roughly 50% without sacrificing quality. The distil labs team was incredibly supportive as we got started and helped us get to production smoothly.
Lucas Hild
Co-Founder & CTO at Knowunity
Lucas Hild

Co-Founder & CTO at Knowunity

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