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Meta accelerates AI infrastructure, targeting a 1GW 'Prometheus' supercomputer with 1.3M NVIDIA H100 GPUs (2 exaflops) by 2026, plus 5GW 'Hyperion' cluster. Plans $60-65B investment by 2025 for AI/data centers, competing with OpenAI/xAI. Commits to open-source and privacy despite environmental concerns.....

XPeng Motors held an AI technology sharing session in Hong Kong yesterday, unveiling its newly developed 720-billion-parameter large-scale autonomous driving model – the "XPeng World" base model. This model features a multi-modal architecture, integrating visual understanding, chain reasoning, and action generation capabilities. It aims to be deployed to vehicle-end devices via cloud distillation technology and simultaneously empower ecological products such as AI robots and flying cars.

Oracle has announced the launch of the world's first Zettascale cloud computing cluster. This cluster is equipped with up to 131,072 NVIDIA Blackwell GPUs, capable of delivering a peak performance of up to 2.4 ZettaFLOPS. This powerful AI infrastructure enables enterprises to process large-scale AI workloads with greater flexibility and sovereignty. Oracle Cloud Infrastructure (OCI) integrates with NVIDIA's advanced GPU architecture.

Elon Musk showcased the internal structure of Tesla's Cortex AI supercomputer cluster being built at the Austin headquarters, which is expected to require 130 megawatts of cooling and power upon launch, growing to 500 megawatts by 2026. The cluster contains 70,000 AI servers, primarily used to solve real-world AI issues, particularly for training Tesla's full self-driving system and the AI for the Optimus robot. Cortex will rely entirely on Nvidia's hardware at launch, while Tesla's own hardware is expected.

GPU cloud computing company Lambda has launched a 1-Click Cluster Service, allowing users to access Nvidia H100 GPUs and Quantum 2 InfiniBand clusters on demand, especially suitable for companies needing GPU compute power for short-term projects. This innovative service simplifies the coordination of hardware and software, with no long-term contracts required; users simply reserve when needed, with a minimum reservation time of two weeks. Founded in 2012, Lambda recently raised $320 million, valuing the company at $1.5 billion, indicating strong market demand for its services.

Recently, Musk announced on the social platform X (formerly known as Twitter) that his company, xAI, is conducting training on the world's most powerful AI training cluster — the "Memphis Supercluster" located in Memphis, Tennessee. This cluster will be the largest capital investment in the city's history, attracting significant media attention. According to local news reports, this supercluster is equipped with 100,000 liquid-cooled Nvidia H100 graphics processing units (GPUs). These chips, in

On July 9th, Musk announced that his artificial intelligence company xAI is building a supercomputer with 100,000 NVIDIA H100 GPUs, expected to be delivered and begin training by the end of this month. This move marks the termination of xAI's negotiations with Oracle to expand the existing agreement and rent more NVIDIA chips. Musk emphasized that this will become "the most powerful training cluster globally with a significant lead." He said that the core competitive edge of xAI lies in speed, "

MegaScale has built a single cluster with over 10,000 GPUs, achieving a model FLOP utilization rate of 55.2%. MegaScale includes diagnostic tools for monitoring system components and events.

Midjourney announced today that it has upgraded its GPU cluster. Pro and Mega subscription users will experience a 1.5x acceleration, reducing the image generation time from about 50 seconds to approximately 30 seconds. This is good news for users who rely on Midjourney for image generation and rendering.