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Microsoft has entered into $33 billion worth of agreements with various cloud companies, including Nebius and CoreWeave, to secure significant resources for its AI initiatives. Notably, the deal with Nebius ensures the acquisition of 100,000 NVIDIA GB300 chips for internal use, further strengthening Microsoft's position in the AI sector.
Alibaba Cloud has introduced a new pooling system that reportedly reduces the use of Nvidia GPUs by 82%. This innovative approach aims to optimize cloud resource management and enhance efficiency for users relying on high-performance computing. The initiative reflects Alibaba's efforts to compete in the cloud services market against other major players.
Nvidia has introduced DGX Cloud Lepton, a service that expands access to its AI chips across various cloud platforms, targeting artificial intelligence developers. This initiative aims to connect users with Nvidia's network of cloud providers, enhancing the availability of its graphics processing units (GPUs) beyond major players in the market.
Oracle's cloud services are playing a significant role in the growth of companies like OpenAI and Nvidia, contributing to substantial profits for Oracle's co-founder Larry Ellison. The strategic partnership and investments in artificial intelligence are driving this success, highlighting the increasing demand for cloud computing capabilities in the tech industry.
Alibaba is developing a new AI chip aimed at compensating for the supply gap left by Nvidia, which has faced regulatory challenges in China. As Chinese tech companies ramp up efforts to produce their own processors, Alibaba's move comes amid increased demand for cloud computing services and revenue growth in that sector.
The NVIDIA HGX B200, now available through Cirrascale's AI Innovation Cloud, offers significant advancements in accelerated computing and generative AI with its integration of Blackwell GPUs and high-speed interconnects. It delivers up to 15X faster real-time inference performance and is optimized for demanding AI, data analytics, and HPC workloads, making it a powerful option for enterprise-level applications.
The NVIDIA HGX B200, now available in the Cirrascale AI Innovation Cloud, offers an 8-GPU configuration that significantly enhances AI performance, achieving up to 15X faster inference compared to the previous generation. With advanced features such as the second-generation Transformer Engine and NVLink interconnect, it is designed for demanding AI and HPC workloads, ensuring efficient scalability and lower operational costs.
Alibaba and Nvidia are expanding their partnership to enhance artificial intelligence capabilities, focusing on cloud computing and data processing. This collaboration aims to leverage Nvidia's advanced AI technologies within Alibaba's cloud services, potentially transforming various sectors in China and beyond.
Hugging Face has announced a new collaboration with NVIDIA called Training Cluster as a Service, aimed at providing accessible GPU clusters for research organizations globally. This initiative allows institutions to request GPU capacity for training AI models on-demand, addressing the growing compute gap in AI research.