Exabits Launches Cutting-Edge AI Infrastructure Utilizing NVIDIA H200 GPUs
In Brief
By incorporating 4,000 NVIDIA H200 GPUs into its system, Exabits strengthens its AI computing capabilities with Trusted Execution Environment (TEE) technology, making it invaluable for high-stakes industries such as finance and healthcare. This advanced setup features lightning-fast InfiniBand connectivity and integrates blockchain for a decentralized and scalable AI infrastructure, fostering innovation across both Web2 and Web3 platforms.

Exabits The company has added 4,000 NVIDIA H200 GPUs to its network, equipped with TEE capabilities that ensure the security and integrity of AI computations. This smart move enables Exabits to offer scalable and validated AI processing for a wide range of industries.
Confronting Trust and Security Issues in AI
As AI technology increasingly manages sensitive data related to finance and medical sectors, maintaining trust in distributed computing systems has become essential. Given that blockchain and AI systems often function on decentralized networks, verifying data authenticity and preventing security breaches is critical.
Exabits boosts the security of its AI calculations by employing TEE technology, ensuring that processes remain secure and confidential information is handled appropriately. This capacity to provide secure environments for execution is vital for sectors like government operations, medical research, and finance, where regulatory compliance is a must.
The latest NVIDIA H200 GPUs are strategically placed in data centers across Europe and the United States. A robust 3.2-terabit InfiniBand network links these nodes, allowing for the rapid connections necessary for extensive AI model training. Exabits With its cutting-edge infrastructure, Exabits stands out as a leading provider of decentralized GPU-based computing resources, skillfully managing a network of 4,000 GPUs within the blockchain ecosystem.
The high-speed architecture significantly enhances performance for real-time AI applications, including large-scale neural network training, AI-driven trading, and simulations for autonomous driving, all while minimizing latency.
Strategic Growth and Institutional Backing
Currently valued at $150 million, Exabits has secured $15 million in seed funding and generates an annual recurring revenue (ARR) of $10 million. It proudly stands as the first blockchain initiative to receive support from Harvard's innovation center, benefitting from incubation assistance from prestigious organizations.
Exabits is solidifying its academic partnerships by collaborating with the Vehicle Intelligence Lab at Seoul National University, providing computing resources for AI-powered research projects. These collaborations highlight Exabits’ commitment to bridging the gap between academic research and commercial AI applications, ensuring that cutting-edge technologies have access to the compute power they need.
Expanding AI Services for Web2 and Web3 Enterprises
Exabits Thanks to the integration of NVIDIA H200 GPUs, Exabits can now extend its services to AI-focused enterprises in fields such as financial modeling, healthcare, and autonomous driving. The company is dedicated to empowering both Web2 and Web3 AI startups by offering the computational resources required for sophisticated applications.
In addition to catering to commercial entities, Exabits is investing in the advancement of AI agents and decentralized science. This ambition aligns with the increasing demand for decentralized computing solutions, aiming to make high-performance computing accessible to startups, research institutions, and developers focusing on cutting-edge AI technologies.
AI Computation Elevated through Decentralized Frameworks
Exabits’ unique approach to AI computing revolves around decentralization, security, and scalability. Traditional AI technologies offered via cloud services often face challenges related to cost, accessibility, and data security. Exabits Exabits presents users with an efficient means of accessing computational resources through a more transparent and verifiable system that marries blockchain principles with AI computing. The integration of TEE technology ensures that sensitive calculations remain private and are protected from unauthorized alterations.
Pushing AI Forward with Secure and Scalable Computing
Dr. Hoansoo Lee, Co-Founder of Exabits, emphasizes the significance of this integration: \"We sit at the crossroads of blockchain and AI, and we perceive immense opportunities in merging these technologies.\" The growth of our computing infrastructure enhances the efficacy, security, and reliability of AI computations while fostering innovation in decentralized research, AI Agent ecosystems, and beyond.
With this latest development, Exabits cements its role as a major player in the AI computing arena by offering a robust and secure foundation for future applications. The firm's network of GPUs will play a crucial role in facilitating faster, safer, and more efficient AI implementations as the models evolve and computational demands increase. Exabits remains committed to expanding the horizons of AI innovation, ensuring that businesses, researchers, and developers can access secure and scalable computing resources.
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