NEAR Introduces DCML for a Private, Verifiable, and User-Owned AI Future

• NEAR’s DCML enables secure AI workloads using trusted enclaves, protecting user data while allowing model monetization.
• Users can fine-tune AI privately, verify results, and earn from shared model access without giving up data ownership.

NEAR Protocol has introduced a new approach to artificial intelligence called Decentralized Confidential Machine Learning (DCML). This isn’t just a complicated technical concept. In short, anyone can run AI models privately and securely, even on someone else’s computer, without fear of data leaks or being spied on by third parties.

Train Together, Earn Together: A New AI Economy

This model relies on secure enclave technology (Trusted Execution Environments), which ensures that all calculations and results are verifiable, while the underlying hardware remains under lock and key. So, if you have an AI model that’s been trained for years, DCML gives you a way to rent it out to others without having to hand over the code.

What is DCML?

Decentralized Confidential Machine Learning enables any party that needs a reliable, confidential AI workload to leverage another party’s compute securely.

It provides the foundation for private, verifiable and user‑owned access and monetization of AI models 👇 pic.twitter.com/RT4UxkvjDz

— NEAR Protocol (@NEARProtocol) July 19, 2025

Not only that, but NEAR also takes care of the money. Through an automated micropayment mechanism, model owners can be paid every time someone uses it, while users can be confident that their models are actually performing as promised.

Even if you want to develop a model with your own private data, DCML allows the training process to be carried out without leaking a single bit of data to the hardware provider. Cool, right?

What makes this approach even more exciting is that it opens up the possibility of collaborative, collective training of AI models. Users can pool funds, hone models together, and then share the results fairly. In a world where AI is increasingly contested, this concept could be a breath of fresh air for a user community that wants to participate, not just be a bystander.

NEAR Protocol Strengthens Fundamentals and Future Vision

Furthermore, in recent weeks, they have also introduced the “House of Stake”—a new framework for blockchain governance that is unique because it involves the role of artificial intelligence. AI acts as an assistant, a delegate, and even a CEO candidate. This system uses veNEAR token lockups to weight votes and reward those who actively participate in long-term decisions.

Furthermore, NEAR is also continuing to improve its technicals. One analyst predicts that NEAR has entered a major bullish phase, with a possible price surge of up to 1,100%. This is not without basis. Currently, NEAR is trading at about $2.81, up nearly 16% in the past 7 days. The current crucial zone lies between $2.75 and $3.03. If it can break through that level, buying pressure could surge sharply.

In terms of indicators, the MACD histogram shows a positive trend (0.062), and a golden cross has formed between the 7-day and 30-day EMAs.

Another thing the market is eagerly awaiting is the outcome of the vote regarding token inflation reduction—if approved, NEAR’s annual issuance rate will be cut from 5% to 2.5%. What does this mean? A reduced supply, and selling pressure from validators and stakers will also decrease. This could be a major catalyst in the near future.

Furthermore, the strengthening of the NEAR ecosystem is also evident across networks. CNF previously reported that Chain Signatures now supports EdDSA, enabling cross-chain signing between Solana, TON, Sui, Stellar, and Aptos. This demonstrates NEAR’s commitment to making interactions between blockchains more seamless.