As AI and blockchain become more intertwined within decentralized ecosystems, maintaining trust and verifiability across distributed networks is becoming increasingly difficult.
By design, decentralized systems operate without a central point of control, relying on multiple nodes collectively validating transactions and processes. While the benefits of decentralization are undeniable, it also presents challenges in maintaining the integrity and authenticity of the data being processed.
In these environments, compute is distributed across nodes, rather than being centralized in a single entity. While this enables scalability, it complicates the task of keeping data secure.
In industries like healthcare and finance, the risk of security breaches is high. A compromise in these fields could expose personal and financial information, weakening the reliability of entire systems. Such incidents raise concerns about the trust that decentralized technologies were originally designed to restore.
However, new solutions are emerging that add additional layers of security and protection to fragile information. For example, Exabits is a compute-based layer platform transforming GPU (graphic processing units) clusters into accessible investment assets through tokenization, and it recently announced its integration of 4,000 NVIDIA (NASDAQ:NVDA) H200 GPUs into its networks.
These GPUs leverage advanced Trusted Execution Environment Technology (TEE) to ensure secure, verifiable AI computations while maintaining data confidentiality. This integration guarantees tamper-proof processing, protecting sensitive and proprietary information.
Exabit’s new GPU infrastructure has been deployed across the U.S. and Europe, connected by a 3.2T InfiniBand network, to enable the ultra-fast communication required for large-scale AI model pre-training. This positions Exabits as the only player in the crypto space with the in-house expertise to manage and scale a 4,000 GPU H200 architecture.
Dr. Hoansoo Lee, Co-Founder of Exabits says: “We are thrilled to be at the forefront of the integration between AI and blockchain, as we recognize the immense potential of these two sectors.”
The integration of 4,000 NVIDIA H200 GPUs is part of Exabits’ commitment to expand its offerings to Web2 and Web3 AI companies. These AI-ready GPUs allow Exabits to serve some of the most demanding industries like autonomous driving, healthcare, and financial modeling sectors. The company also has plans to expand into the DeSci sector, creating a foundation for breakthroughs in growing fields.
Dr. Lee adds: "This significant advancement in our compute infrastructure marks not only a milestone for Exabits but for the broader AI community. With the power of TEE and our global GPU network, we are enhancing trust and security in AI computations, driving innovations in decentralized science (DeSci), AI Agent ecosystems, and beyond."
After securing $15 million in seed funding, Exabits has already achieved $10 million in annual recurring revenue (ARR) and is valued at $150 million. The company has also been incubated by prestigious institutions across the United States such as Stanford, Berkeley, and Harvard, and recently formed a collaboration with Seoul National University in South Korea.
There’s no denying the positive effects that AI has had on society at large. However, overlooking the security concerns that come with its development would be shortsighted. As AI and blockchain continue to be integrated throughout different industries, enhanced security measures will ensure that benefits are maximized while risks to individuals and society are minimized.