Gradients subnet 56
Gradients presents Subnet 56 as Gradients on Demand, a network for distributed model training and AutoML. Official sources describe miners competing in training systems for LLM and diffusion-model workloads, with a product layer intended to make fine-tuning more accessible. The subnet's editorial angle is competitive model improvement rather than inference serving alone.
About Gradients subnet 56
Gradients is an AutoML and model-training subnet where miners compete to produce strong fine-tuning results.
Fine-tuning useful AI models can require specialist expertise, expensive infrastructure, and repeated experimentation that many teams cannot manage internally.
Businesses fine-tuning models, AutoML users, machine-learning engineers, model trainers, miners, and validators.
Team and ownership
Gradients is associated with Rayon Labs. Gradients was founded by WanderingWeights/Chris Subia-Waud and is now led by Besim.
- Chris Subia-Waud / WanderingWeights, Founder: PhD in AI and founder of Gradients.
- Besim, Current lead
Key pages:
learn about Bittensor,
Bittensor glossary,
Bittensor FAQ,
Bittensor subnet screener,
portfolio tracker,
subnet baskets,
Neuralteq validator,
and fees.