Gradients PriceSN56

What is Gradients (SN56)?

Gradients (SN56) is a decentralized artificial intelligence training platform operating as Subnet 56 within the Bittensor ecosystem. The project is designed to democratize AI through distributed infrastructure, allowing anyone in the world to train image and text models. Its core mission is described as "intelligence, simplified," making AI model training accessible through competitive AutoML on Bittensor. The platform enables users to fine-tune AI models via a simple four-click interface, while miners compete to train models for Gradients.io customers. The subnet is positioned as "distributed intelligence for LLM and diffusion model training." SN56 is the native token of this subnet, with a maximum supply of 21,000,000 tokens and a circulating supply of approximately 4,175,539 SN56. The project is actively developed by the team at Rayon Labs, now known as gradients-ai, and operates within the broader Bittensor network infrastructure.

Key Specifications & Tokenomics

• Name: Gradients
• Ticker / Symbol: SN56
• Subnet Designation: Subnet 56 on the Bittensor network
• Category: AI & Big Data, Bittensor Ecosystem, Bittensor Subnets
• Official Website: https://gradients.io/
• GitHub: https://github.com/rayonlabs/G.O.D
• GitHub (subnet repo): https://github.com/backend-developers-ltd/hordization-sn56
• Block Explorer: https://taostats.io/subnets/56/chart
• Contracts: 56 (Bittensor)
• Max Supply: 21,000,000 SN56
• Circulating Supply: 4,175,539 SN56
• Total Supply: 4,175,539 SN56
• Circulating Supply as % of Max: 19.88%
• Fully Diluted Market Cap: $80.13M
• Consensus Mechanism: Bittensor subnet validation and mining

Who created Gradients?

Gradients began as a decentralized group of engineers originally led by WanderingWeights, also identified as Christopher Subia-Waud, who holds a PhD in AI and is the founder of Gradients on Bittensor Subnet 56. Today, the project is jointly led by Besim and WanderingWeights. Besim serves as CEO and Lead. The project was developed by the team at Rayon Labs, now operating as gradients-ai, a group focused on building decentralized AI infrastructure. The team describes itself as having started as a decentralized group of engineers led by WanderingWeights and is now composed of contributors collectively. Detailed public information about the full team structure is currently limited.

How does Gradients work?

Gradients operates on the Bittensor network as Subnet 56, utilizing a competitive AutoML mechanism. Miners on the network compete to train models for Gradients.io customers. The training process is organized through tournaments, which are competitive events where validators execute miners' open-source training scripts on dedicated infrastructure. Each tournament lasts between four and seven days. The platform supports both image and text models, including LLM and diffusion model training. Customers access the system through a four-click interface to fine-tune AI models, removing technical barriers to entry. This structure creates a decentralized marketplace for AI training services, where computational resources and expertise are pooled and rewarded through the subnet's incentive mechanism.

What makes Gradients unique and valuable?

Gradients distinguishes itself by decentralizing AI training technology that is described as convincingly beating state-of-the-art web2 and centralized competitors. The platform's competitive AutoML approach on Bittensor creates a permissionless environment where anyone can participate in training AI models. The four-click interface significantly lowers the barrier to entry for fine-tuning AI models, making advanced machine learning accessible to non-technical users. By operating as a subnet on Bittensor, Gradients leverages the network's decentralized infrastructure and incentive mechanisms. The project's focus on both LLM and diffusion model training positions it at the intersection of two rapidly growing AI sectors. Its tournament-based system for executing training scripts ensures transparent and verifiable competition among miners.

What is Gradients used for?

SN56 serves as the native cryptocurrency token of the Gradients subnet, corresponding to its designation as Subnet 56 on the Bittensor network. The token is used within the subnet's incentive mechanism to reward miners who compete to train models for Gradients.io customers. It facilitates the competitive AutoML process where validators execute miners' open-source training scripts. The token also underpins the economic model that allows anyone to train image and text models through the platform. Additionally, SN56 is traded on various cryptocurrency platforms, with the primary trading pair being SN56/TAO. The token enables participation in the decentralized AI training economy that Gradients has built on Bittensor.

How Is the Gradients ecosystem developing?

The Gradients ecosystem centers on the Gradients.io platform, which allows anyone to train image and text models by choosing from a wide variety of options. The Gradients on Demand Subnet provides distributed intelligence for LLM and diffusion model training. Tournaments form a key part of the ecosystem, with validators executing miners' open-source training scripts on dedicated infrastructure over four to seven-day periods. Customers use the four-click interface to fine-tune AI models, while miners compete to provide training services. The project has been covered by various publications, including a guide published on simplytao.ai in March 2026 and a review on themarketsunplugged.com in April 2026. An IQ.wiki page on Gradients was published in November 2025. The ecosystem continues to develop within the broader Bittensor network.

How to mine Gradients?

Mining Gradients involves participating as a miner on Bittensor Subnet 56. Miners compete to train models for Gradients.io customers by submitting open-source training scripts. The process is organized through tournaments where validators execute these scripts on dedicated infrastructure. Each tournament runs for four to seven days, after which performance is evaluated and rewards are distributed. To participate, miners need to develop and submit training scripts that can effectively fine-tune image and text models, including LLMs and diffusion models. The competitive nature of the subnet means that miners must continuously improve their training approaches to remain competitive. Successful miners are rewarded with SN56 tokens based on the quality and efficiency of their model training contributions.

How to keep your Gradients Coin safe?

Keeping your SN56 tokens safe requires following established cryptocurrency security practices. Store your tokens in a reputable wallet that supports Bittensor subnet tokens, preferably a hardware wallet for long-term holdings. Never share your private keys or seed phrases with anyone, and be cautious of phishing attempts that may impersonate Gradients or Bittensor-related services. Since SN56 trades primarily on the SN56/TAO pair, ensure you are using verified platforms when conducting transactions. Enable two-factor authentication on any exchange accounts you use. Given the volatile nature of cryptocurrency markets and the specific risks noted for SN56, including its significant retreat from all-time highs, investors should only allocate funds they can afford to lose. Always verify contract addresses and official links before interacting with any platform.