GPU

Aethir collaborates with GAIB and GMI Cloud to integrate GPUs and launch a new type of revenue asset supported by real AI cash flow

ChainCatcher news, decentralized cloud infrastructure provider Aethir has partnered with AI computing economic layer GAIB and cloud service provider GMI Cloud, which focuses on AI and AGI, to integrate the H200 Tensor Core GPU into its decentralized computing ecosystem. This marks the first production deployment of the H200 GPU in the Web3 space, providing high-performance computing technology for enterprises and developers.Through this initiative, Aethir, GAIB, and GMI Cloud will offer enterprise clients the powerful computing capabilities needed to handle demanding GPU tasks, including large language model (LLM) training and AI inference.GAIB introduces a new type of yield asset supported by real AI cash flow. GMI Cloud stakes physical H200 GPUs on the GAIB network and then re-stakes them to Aethir, making these computing resources available to anyone who needs them. In the future, GAIB will tokenize these GPUs and their yield on-chain. This will enable users to directly invest in, trade, and own GPUs as assets. By purchasing GPU NFTs, users can earn rewards and yields generated by the underlying GPUs that support Web2 and Web3 AI demands.The H200 Tensor Core GPU is the latest high-performance graphics processing unit (GPU) designed to accelerate AI and machine learning workloads. The H200 is built on the Hopper architecture and offers improvements in memory capacity, bandwidth, and computational efficiency compared to its predecessor, the H100. Additionally, this collaboration will make GPU resources more accessible and cost-effective on a global scale.

Bernstein: Investors' Interest in Bitcoin Mining Companies Shifting to AI is Growing Stronger

ChainCatcher news, according to The Block, analysts from research and brokerage firm Bernstein pointed out that Bitcoin mining companies are shifting their focus to the artificial intelligence and high-performance computing (HPC) data center market, which has sparked strong interest from investors. Gautam Chhugani, Mahika Sapra, and Sanskar Chindalia wrote in a report to clients on Monday: "We see strong investor interest in Bitcoin mining companies pursuing AI/HPC, and these investors are also questioning whether all mining companies should pivot to AI."This operational shift is referred to as the "Mullet" strategy: AI data centers at the front end, Bitcoin mining at the back end. The report on Monday stated that the current mining landscape is almost evenly split, with companies focused on Bitcoin mining and those transitioning to become AI data centers each accounting for half. This strategy may require mining companies to incorporate GPU-based AI-specific machines into their facilities, as ASIC mining machines are not suitable for AI training tasks. However, Bernstein's report noted that mining companies transitioning to focus on the AI data center market face specific challenges. While Bitcoin mining and AI data centers share similarities in power capacity and high-density power specifications, they have entirely different business models.The analysts added: "Bitcoin mining companies pursue proprietary strategies for self-mining, engaging in the business of converting electricity into Bitcoin at costs below market prices. Therefore, the only thing that matters is increasing Bitcoin output/hash rate market share and a consistent financial strategy, which is not to sell Bitcoin at a loss." According to the report's perspective, leading Bitcoin mining companies should focus on Bitcoin mining market share, ensuring that hash rate growth outpaces the total hash rate, and not selling Bitcoin at a loss.
ChainCatcher Building the Web3 world with innovators