- NVIDIA Validation: Jensen Huang acknowledged decentralized AI’s potential, highlighting Bittensor Subnet 3 (Templar) as a major breakthrough.
- Historic AI Milestone: Templar achieved a 72B parameter LLM trained fully decentralized across 70+ contributors, proving large-scale AI can run without centralized infrastructure.
- Strong Market Reaction: Bittensor and Templar posted sharp gains, reflecting rising investor interest in decentralized AI narratives.
A major spotlight has just been cast on decentralized AI, and the market is reacting fast. NVIDIA CEO Jensen Huang recently discussed the future of distributed AI training on the All-In Podcast, bringing attention to a ground breaking achievement from Bittensor and its Subnet 3, Templar.
During the conversation, host Chamath Palihapitiya pointed to Templar’s Covenant-72B run as a standout moment in AI innovation, calling it “a pretty crazy technical accomplishment.” The discussion quickly gained traction across both crypto and AI communities, especially after Templar clarified a key detail in a viral post — confirming the model was built with 72 billion parameters, not four.
A Breakthrough for Decentralized AI
Templar’s Covenant-72B milestone, first announced on March 10, 2026, represents a historic step forward for decentralized machine learning.
The achievement includes:
- A massive 72 billion parameter language model
- Training on approximately 1.1 trillion tokens
- Coordination across 70+ independent contributors worldwide
- Fully distributed training using regular internet connections — no centralized data centers
- Strong performance, scoring 67.1 on MMLU (zero-shot), rivaling traditional 70B models
- Completely open-sourced under Apache 2.0
This proves that large-scale AI models can be trained in a fully permissionless, decentralized way — something long considered impractical.
Jensen Huang Signals a Big Shift
What made this moment even more impactful was Huang’s response. Rather than dismiss decentralized AI, he emphasized that both centralized and decentralized systems can coexist:
“These two things are not A or B; it’s A and B.”
For many, this marks a significant validation from the leader of the world’s top AI hardware company, reinforcing that decentralized networks like Bittensor have a real role to play in the future of AI.
TAO and SN3 Prices React Strongly
The market wasted no time responding to the growing attention.
As of Early March 20, 2026:
- Templar (SN3) has surged to $24.09, gaining an impressive +32.40%
- Bittensor (TAO) is trading around $286.65, up +10.16% in the past 24 hours
The rally reflects increasing demand across the ecosystem. TAO continues to serve as the backbone for staking, validation, and subnet access, while SN3 is gaining traction as interest in Templar’s capabilities grows.
Why This Momentum Matters
Templar is already considered one of the strongest subnets within the Bittensor ecosystem. Achievements like Covenant-72B could drive:
- Higher participation and staking activity
- Increased demand for TAO as the core network token
- Fresh inflows from both crypto investors and AI-focused institutions
With a high-profile figure like Chamath bringing this innovation directly to Jensen Huang on a major platform, the credibility of decentralized AI has taken a meaningful leap forward.
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