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Home » TAO Price Hits $305 Mark as Targon Boosts Bittensor Growth
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TAO Price Hits $305 Mark as Targon Boosts Bittensor Growth

March 24, 2026No Comments4 Mins Read
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TAO Price Hits 5 Mark as Targon Boosts Bittensor Growth
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  • TAO’s price is up by more than 10% today, March 24, 2026.
  • Targon subnet gains traction.
  • Targon growth fuels TAO demand, as higher usage, staking, and network activity within Bittensor directly contribute to today’s price surge.

Bittensor’s native token TAO, had surged more than 10% today, March 24, 2026, as per CoinMarketCap. With this surge, the token has managed to hit the $305 mark and surge has outpaced Bitcoin’s 2.47% gain. This surge underscores a powerful sector rotation into AI-focused cryptocurrencies, where Bittensor stands out as a decentralized AI infrastructure leader.

At press time, the price of the token stands at $306.80 with a surge of 10.22% in the last 24-hours as per CoinMarketCap.

TAO 24-hours chart

Spot accumulation signals from exchange outflows and almost a 115% trading volume spike to $666 million confirm genuine buyer interest, reducing sell pressure and fueling upward momentum.

Targon’s Confidential Compute Whitepaper Goes Live with Intel Collaboration

Over a year in the making, Bittensor Subnet 4, Targon, revealed yesterday March 23, 2026, on social media platform X, a detailed new whitepaper which is co-authored with Intel engineers.

The paper, “Decentralized Compute on Untrusted Hardware Using Intel® TDX and Encrypted CVMs,” is solving the core challenge of running trusted AI workloads on untrusted host machines. It also provides production-ready confidential Trusted Execution Environments (TEEs).

We needed to run trusted workloads on untrusted host machines.

So over a year ago, we started building the Targon Virtual Machine to enable Confidential TEEs in production.

Today we’re sharing our white paper written alongside @intel: Decentralized Compute on Untrusted… pic.twitter.com/Yi1dAiYwK0

— Targon (@TargonCompute) March 23, 2026

Targon’s system leverages Intel Trust Domain Extensions (TDX) and NVIDIA Confidential Computing to create fully encrypted VMs on random hardware providers’ machines. Hosts gain no visibility into data, model weights, GPU memory, or disks, making sure ironclad privacy even against hostile operators with physical access of hypervisor control.

The system keeps things secure by using different encryption for each provider, regularly checking that everything is running on trusted hardware, and locking usage to specific machines so it cannot be copied or moved anywhere else. It also re-checks security every 72 minutes to stay safe. All of this combines into one strong proof that the system is genuine and secure.

This system is already being used at a large scale. It runs on more than 1,500 powerful GPUs, it handles more than 20 billion AI requests every day and pays out more than $60 million a year to people that provide computing power.

Jesus Martinez Highlights Intel’s Engineer Level Validation on X

Crypto influencer Jesus Martinez posted on X and put great amount of light on the whitepaper.

A Bittensor subnet just dropped a white paper co-authored with Intel. Not a “partnership announcement.” Not a logo on a slide. Two Intel engineers put their names on it.

-Jesus Martinez

In his tweet, he breaks down Targon’s threat model, assuming fully malicious hosts who control hypervisors, snapshot VMs, or collude, yet the architecture holds firm.

Martinez calls it a solution for decentralized compute’s trust barriers. He even stated that nobody serious will run sensitive AI workloads on machines they don’t control. Targon’s scale and backing including Manifold’s scale and backing, including Manifold’s $10.5 million Series A from OSS Capital and early Google investor Ram Shriram. For Bittensor enthusiasts, this is enterprise-grade credibility that random logos cannot match.

Targon’s Momentum Supercharges Bittensor’s (TAO) Ecosystem Growth

Targon’s ascent directly pushes Bittensor’s core value proposition, where a decentralized machine learning network which has subnets like Targon compete for TAO emissions based on performance.

Verified on-chain metrics show Subnet 4 dominating incentives, with its confidential compute drawing high-stakes AI inference workloads that demand privacy. This drives TAO demand as miners stake for subnet participation and users buy for compute access.

Cross-referencing Bittensor’s dashboard and Dune Analytics confirms Targon’s edge. It manages to capture ~15-20% of network emissions amid surging subnet diversity. As AI agents and models migrate to secure, decentralized hardware, Targon’s 20B+ daily tokens translate to real economic activity, locking TAO in staking pools and amplifying token velocity.

Bullish on-chain flows align with this utility surge, positioning Bittensor for sustained outperformance versus broader crypto.

Also Read: Bittensor Price Up by 15% as Big Names Signal Support


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