Compute Labs leverages Nvidia clusters to achieve "partial AI ownership" in the Asia-Pacific region

The intersection of artificial intelligence infrastructure and decentralized finance (DeFi) will become a major market in the coming years. Combining these two industries will create opportunities for businesses that have yet to be realized.

Compute Labs has acquired several Nvidia B200 clusters designed for high-performance AI tasks, providing blockchain AI access to enterprises at a fraction of traditional costs. Notably, Compute Labs has secured the second-largest Nvidia B200 cluster in the Asia-Pacific region, highlighting its leading position in the AI infrastructure space.

Strategic Infrastructure Acquisition

The Nvidia B200 DGX systems are designed for high-performance computing tasks, supporting AI training and simulation, and enabling unprecedented speed in large-scale data analysis. The performance of these clusters is 4 to 5 times that of the Nvidia H100 chip, which was just launched in 2022.

The infrastructure of the B200s allows companies like Compute Labs to share access to cluster servers with AI developers. This will enable developers to access computing technology without the need to purchase expensive hardware.

Institutional Confidence

The company's acquisition of the B200 clusters has received strong support from investors, securing $40 million in funding. Investment in computing hardware is becoming a viable asset, as these servers can generate profits through digital allocation to others.

Leveraging GNFT for a Computing Revolution

Compute Labs has created its proprietary protocol—the Computing Tokenization Protocol (CTP)—which divides ownership of GPUs into GNFTs, transforming physical GPUs into digital assets. GNFTs address the issue of underutilization of resources by allocating B200 servers to companies willing to pay for their services. CTP can be used in both centralized and decentralized networks, creating opportunities both within and outside of blockchain.

Compute Labs has turned computing into a revenue-generating asset. Subsequently, computing derivatives are traded as tokens, allowing buyers to hold a portion of a GPU without the hardware. Companies that do not require a full GPU can purchase a part of it, making high-end computing more accessible and cost-effective.

Advancing the AI-Fi Ecosystem

By leveraging one of the largest Nvidia B200 clusters in the Asia-Pacific region, Compute Labs combines AI infrastructure with DeFi principles, creating new market opportunities. Additionally, Ubitus K.K., located in Tokyo, Japan, will manage the cluster, providing enterprise-level security and reliability to ensure that the cluster's resources are optimized and securely shared among users.

GPUs generate income when used for compute-intensive AI tasks, resulting in passive income. Furthermore, holders can participate in staking, locking GNFTs in a system in exchange for additional returns, thereby incentivizing long-term investment in Compute Labs.

Compute Labs' Vision: Computing as Currency

Compute Labs has democratized access to high-performance GPU resources, enabling more individuals and companies to utilize advanced AI computing through tokenization. The company envisions Compute as a tradable, revenue-generating asset, promoting long-term investment. Looking ahead, Compute Labs aims to expand into areas such as quantum computing and edge computing, which will further impact the AI and DeFi markets. They have built a bridge between investors, developers, and enterprises, allowing them all to hold GNFTs for different purposes.

The company aims to establish Compute Labs as a tradable, revenue-generating asset, encouraging long-term investment. Compute Labs is considering expansion into fields such as quantum computing and edge computing. The novel uses of the B200 clusters and the innovative GNFT model could have a significant impact on the AI and DeFi markets. Stakeholders, developers, and investors should explore opportunities with Compute Labs to share in the benefits of the upcoming high-performance GPU servers.