Exabits Unveils High-Performance AI Infrastructure with NVIDIA H200
In Brief
Exabits integrates 4,000 NVIDIA H200 GPUs, enhancing secure AI computing with TEE technology for industries like finance and healthcare. With high-speed InfiniBand connectivity and blockchain integration, it delivers scalable, decentralized AI infrastructure, supporting Web2 and Web3 innovation.
Exabits has integrated 4,000 NVIDIA H200 GPUs into its network. These high-performance GPUs come with TEE capabilities, ensuring secure AI computing while maintaining data integrity and confidentiality. This strategic expansion increases Exabits’ capacity to deliver scalable and verified AI processing across many sectors.
Addressing Trust and Security Challenges in AI
Maintaining trust in distributed computing systems has grown crucial as AI models handle more and more sensitive financial and medical data. Since blockchain and AI systems frequently operate via decentralized networks, it is essential to confirm the legitimacy of data and guard against security lapses.
Exabits enhances the security of AI calculations by utilizing TEE technology, guaranteeing that procedures are impenetrable and that confidential data is managed safely. For sectors like government operations, medical research, and finance that need tight adherence to regulations, the ability to provide safe execution environments is crucial.
The most recent NVIDIA H200 GPUs are distributed throughout European and American data centers. A 3.2-terabit InfiniBand architecture connects these nodes, enabling the lightning-fast connection needed for extensive AI model training. Exabits is positioned as a top supplier of decentralized GPU-based computing resources due to its infrastructure, which makes it exceptionally capable of scaling and managing a 4,000 GPU architecture inside the blockchain ecosystem.
For real-time AI applications, such as large-scale neural network training, AI-powered trading platforms, and autonomous driving simulations, the high-speed design optimizes performance by drastically lowering latency.
Strategic Expansion and Institutional Support
With a current valuation of $150 million, Exabits has raised $15 million in seed money and generated $10 million in annual recurring revenue (ARR). The company is the first blockchain initiative to get assistance from Harvard’s innovation center, having received incubation support from major organizations.
Exabits has further strengthened its academic partnerships by collaborating with the Vehicle Intelligence Lab at Seoul National University to supply computer resources for research powered by artificial intelligence. These collaborations demonstrate Exabits’ dedication to closing the gap between scholarly study and commercial AI applications, guaranteeing that next-generation technologies have access to processing capacity.
Growing AI Offerings for Web2 and Web3 Businesses
Exabits can now provide its services to businesses in AI-driven industries including financial modeling, healthcare, and autonomous driving thanks to the integration of NVIDIA H200 GPUs. The business is dedicated to helping Web2 and Web3 AI startups by offering the processing power needed for intricate applications.
Exabits is investing resources to further the development of AI agents and decentralized science in addition to commercial clients. Exabits’ mission to make high-performance computing available to startups, research centers, and developers working on advanced artificial intelligence is in line with the rising need for decentralized computing solutions.
AI Computation Redefined with Decentralized Infrastructure
Decentralization, security, and scalability are the cornerstones of Exabits’ distinctive method of AI computing. The cost, accessibility, and security of traditional cloud-based AI technology are frequently constrained. Exabits offers consumers an efficient way to obtain computational resources through a more transparent and verifiable system that incorporates blockchain ideas with AI computing. For businesses managing sensitive data, the usage of TEE technology guarantees that calculations stay discreet and impervious to unauthorized changes.
Using Scalable and Secure Computing to Advance AI
The importance of this integration is emphasized by Dr. Hoansoo Lee, Co-Founder of Exabits: “We are at the intersection of blockchain and AI, and we see tremendous potential in combining these technologies.” Our computing infrastructure’s growth boosts AI calculations’ efficiency, security, and trustworthiness while spurring innovation in decentralized research, AI Agent ecosystems, and other fields.
With this most recent advancement, Exabits solidifies its position as a major force in AI computing by providing a stable and safe framework for future applications. Exabits’ network of GPUs will be essential to enable quicker, safer, and more effective AI deployments as AI models become more sophisticated and demand more processing capacity. In order to guarantee that companies, academics, and developers have access to safe and scalable computing capacity, the firm is still dedicated to pushing the limits of AI innovation.
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About The Author
Victoria is a writer on a variety of technology topics including Web3.0, AI and cryptocurrencies. Her extensive experience allows her to write insightful articles for the wider audience.
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Victoria is a writer on a variety of technology topics including Web3.0, AI and cryptocurrencies. Her extensive experience allows her to write insightful articles for the wider audience.
