Exabits Launches 4,000 NVIDIA H200 GPUs to Enhance AI Security

Exabits Revolutionizes AI with 4,000 NVIDIA H200 GPUs

As we embrace the transformative power of AI and blockchain technology, the integration of these innovations within decentralized systems has become a hot topic of discussion. While the trust that decentralized frameworks offer is unparalleled, they also introduce unique security challenges, particularly with the management of sensitive data.

Understanding Decentralization Challenges

Decentralized systems operate in a manner that eliminates a central authority, relying instead on multiple nodes to validate transactions collectively. This method enhances system resilience but complicates maintaining data integrity. The distributed nature can often lead to complications, especially when deploying critical computations across different nodes.

Security in Healthcare and Finance

In high-stakes industries like healthcare and finance, the implications of a data breach can be severe, leading to compromised personal and financial information. Such vulnerabilities can damage the trust that these systems were designed to instill the first place.

New Solutions for Enhanced Security

In response to these challenges, innovative solutions are being deployed. Exabits is at the forefront of this evolution with their compute-based platform, allowing for the transformation of GPU clusters into coveted investment assets through tokenization.

Integration of NVIDIA H200 GPUs

Recently, Exabits announced the integration of 4,000 NVIDIA (NASDAQ: NVDA) H200 GPUs into its distributed network, leveraging advanced Trusted Execution Environment Technology (TEE). This breakthrough bolsters security and confidentiality while ensuring reliable AI computations.

The deployment of these GPUs, spread across the U.S. and Europe and interconnected with a 3.2 terabit InfiniBand network, enables rapid communication essential for extensive AI model training.

Positioning within the Crypto Space

Exabits has positioned itself as a leading player in the crypto ecosystem by harnessing in-house expertise required for managing and scaling a complex 4,000 GPU architecture. This also allows the company to cater to high-demand sectors such as autonomous driving, healthcare, and financial modeling.

Commitment to Web2 and Web3 Companies

In focusing its resources on expanding its AI offerings to both Web2 and Web3 companies, Exabits demonstrates its long-term vision and commitment. The powerful AI-ready GPUs can meet the specific needs of various industries while facilitating innovations in decentralized science (DeSci).

Vision for the Future

Dr. Hoansoo Lee, Co-Founder of Exabits, expressed enthusiasm about their advancements, stating, “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.”

Investment and Growth Metrics

Boasting an impressive $15 million in seed funding and already achieving $10 million in annual recurring revenue (ARR), Exabits is valued at $150 million. Their credibility is further exemplified through incubations at notable institutions such as Stanford and Harvard, plus recent collaborations with Seoul National University.

Conclusion: The Future Is Bright

The integration of AI technologies, when paired with robust security measures, promises significant advantages for society. As Exabits leads the way with its sophisticated infrastructure and innovative approaches, it stands poised to tackle the security concerns that inevitably accompany advancements in AI and blockchain technology.

Frequently Asked Questions

What are NVIDIA H200 GPUs and their significance?

NVIDIA H200 GPUs are high-performance graphics processing units designed for AI and machine learning tasks, enhancing computation speed and security.

How does Exabits ensure security in decentralized systems?

Exabits utilizes Trusted Execution Environment Technology (TEE) to ensure secure and verified AI computations while protecting sensitive data.

In which sectors is Exabits focusing its GPU technology?

Exabits targets sectors such as autonomous driving, healthcare, financial modeling, and decentralized science (DeSci).

What is the financial status of Exabits?

Exabits secured $15 million in funding, achieved $10 million in ARR, and is valued at $150 million.

How are NVIDIA GPUs connected within Exabits' infrastructure?

The GPUs are linked via a high-speed 3.2 terabit InfiniBand network across the U.S. and Europe for ultra-fast data communication.

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