Victoria d’Este
Printed: March 06, 2025 at 9:16 am Up to date: March 06, 2025 at 9:16 am

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March 06, 2025 at 9:16 am
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Exabits integrates 4,000 NVIDIA H200 GPUs, enhancing safe AI computing with TEE expertise 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 built-in 4,000 NVIDIA H200 GPUs into its community. These high-performance GPUs include TEE capabilities, making certain safe AI computing whereas sustaining knowledge integrity and confidentiality. This strategic enlargement will increase Exabits’ capability to ship scalable and verified AI processing throughout many sectors.
Addressing Belief and Safety Challenges in AI
Sustaining belief in distributed computing methods has grown essential as AI fashions deal with increasingly more delicate monetary and medical knowledge. Since blockchain and AI methods incessantly function by way of decentralized networks, it’s important to substantiate the legitimacy of knowledge and guard towards safety lapses.
Exabits enhances the safety of AI calculations by using TEE expertise, guaranteeing that procedures are impenetrable and that confidential knowledge is managed safely. For sectors like authorities operations, medical analysis, and finance that want tight adherence to rules, the power to offer secure execution environments is essential.
The newest NVIDIA H200 GPUs are distributed all through European and American knowledge facilities. A 3.2-terabit InfiniBand structure connects these nodes, enabling the lightning-fast connection wanted for intensive AI mannequin coaching. Exabits is positioned as a high provider of decentralized GPU-based computing sources resulting from its infrastructure, which makes it exceptionally able to scaling and managing a 4,000 GPU structure contained in the blockchain ecosystem.
For real-time AI purposes, similar to large-scale neural community coaching, AI-powered buying and selling platforms, and autonomous driving simulations, the high-speed design optimizes efficiency by drastically decreasing latency.
Strategic Growth and Institutional Help
With a present valuation of $150 million, Exabits has raised $15 million in seed cash and generated $10 million in annual recurring income (ARR). The corporate is the primary blockchain initiative to get help from Harvard’s innovation middle, having acquired incubation help from main organizations.
Exabits has additional strengthened its educational partnerships by collaborating with the Car Intelligence Lab at Seoul Nationwide College to provide pc sources for analysis powered by synthetic intelligence. These collaborations exhibit Exabits’ dedication to closing the hole between scholarly research and industrial AI purposes, guaranteeing that next-generation applied sciences have entry to processing capability.
Rising AI Choices for Web2 and Web3 Companies
Exabits can now present its companies to companies in AI-driven industries together with monetary modeling, healthcare, and autonomous driving due to the combination of NVIDIA H200 GPUs. The enterprise is devoted to serving to Web2 and Web3 AI startups by providing the processing energy wanted for intricate purposes.
Exabits is investing sources to additional the event of AI brokers and decentralized science along with industrial shoppers. Exabits’ mission to make high-performance computing obtainable to startups, analysis facilities, and builders engaged on superior synthetic intelligence is according to the rising want for decentralized computing options.
AI Computation Redefined with Decentralized Infrastructure
Decentralization, safety, and scalability are the cornerstones of Exabits’ distinctive technique of AI computing. The associated fee, accessibility, and safety of conventional cloud-based AI expertise are incessantly constrained. Exabits provides customers an environment friendly solution to receive computational sources by way of a extra clear and verifiable system that comes with blockchain concepts with AI computing. For companies managing delicate knowledge, the utilization of TEE expertise ensures that calculations keep discreet and impervious to unauthorized adjustments.
Utilizing Scalable and Safe Computing to Advance AI
The significance of this integration is emphasised by Dr. Hoansoo Lee, Co-Founding father of Exabits: “We’re on the intersection of blockchain and AI, and we see super potential in combining these applied sciences.” Our computing infrastructure’s development boosts AI calculations’ effectivity, safety, and trustworthiness whereas spurring innovation in decentralized analysis, AI Agent ecosystems, and different fields.
With this most up-to-date development, Exabits solidifies its place as a significant pressure in AI computing by offering a secure and secure framework for future purposes. Exabits’ community of GPUs will probably be important to allow faster, safer, and simpler AI deployments as AI fashions turn into extra subtle and demand extra processing capability. So as to assure that corporations, teachers, and builders have entry to secure and scalable computing capability, the agency remains to be devoted to pushing the bounds of AI innovation.
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About The Creator
Victoria is a author on quite a lot of expertise matters together with Web3.0, AI and cryptocurrencies. Her intensive expertise permits her to write down insightful articles for the broader viewers.
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Victoria d’Este
Victoria is a author on quite a lot of expertise matters together with Web3.0, AI and cryptocurrencies. Her intensive expertise permits her to write down insightful articles for the broader viewers.