Bittensor's AI network explodes as TAO token soars 90% in March
Bittensor's AI network explodes as TAO token soars 90% in March
Bittensor's AI network explodes as TAO token soars 90% in March
Bittensor's decentralised AI network has seen explosive growth in recent weeks. The platform's native token, TAO, surged by nearly 90% in March, climbing from around $180 to over $332. Meanwhile, its subnet projects—specialised networks built on Bittensor—have reached a combined valuation close to $1.5 billion, with daily trading volumes topping $118 million. Several key subnets are driving this expansion. Chutes, a decentralised data processing network, has handled over 9.1 trillion tokens and now serves more than 400,000 users. It recently became the first Bittensor subnet to exceed a $100 million valuation. Templar, another standout, has trained the largest decentralised large language model (LLM) to date, boasting 72 billion parameters and 1.1 trillion tokens—all without relying on traditional server clusters.
Other projects are making waves in different sectors. **NOVA** focuses on AI-driven drug discovery, targeting the $1.5 trillion pharmaceutical industry. **Hippius**, acting as a blockchain-based alternative to AWS S3, has generated $4.48 million in profit and loss (PnL) by offering persistent decentralised storage. **Targon**, a platform with over 4 million users, projects $10.4 million in annual revenue and recently secured $10.5 million in Series A funding. These subnets operate on Bittensor's dTAO framework, enabling real-world applications like AI training, secure storage, and even pharmaceutical research. The rapid adoption reflects growing demand for decentralised alternatives to traditional AI infrastructure.
The surge in Bittensor's ecosystem highlights a shift toward decentralised AI solutions. With subnet valuations approaching $1.5 billion and trading activity rising, the network is attracting both developers and investors. Projects like Chutes, Templar, and NOVA demonstrate how blockchain-based AI can compete in industries from data processing to drug discovery.