The AI industry grapples with the scarcity and high cost of GPUs needed for training complex models. DEKUBE introduces a network solution for distributed AI training to democratize AI development by leveraging consumer-grade GPUs.industry faces an exponential demand for computational power to train large language models . The sector’s demand is confronting bottlenecks due to the scarcity and high cost of high-end graphics processing units like Nvidia’s H100 and A100.
The planned deployment of Grok 314B, one of the largest open-source LLMs with 314 billion parameters, is expected to further test the limits of distributed computing in AI. By integrating Grok into its network, DEKUBE aims to enhance the scalability and accessibility of high-caliber AI technologies.The platform has garnered industry-wide attention and support, with nearly a hundred technical experts dedicating over three years to its development.
DEKUBE will continue to provide computational resources support to open-source LLM developers and teams, invest in and incubate outstanding AI projects and become a bridge between them and Web3 in the future to promote innovation and development in the industry.
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