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.

Nvidia CEO Jensen Huang emphasized in an interview with the Financial Times that despite encountering issues in the production of the next-generation AI processors, the company remains committed to its plan of launching a new flagship product every year. Although the release of the Blackwell chip has been delayed, Nvidia engineers are accelerating the development of the next two generations of chips. The production issues are mainly related to adjustments in the 'mask' process during chip design, and these changes have been completed without affecting product functionality. Nvidia is leveraging AI to enhance data processing and product design efficiency in response to investors' concerns about growth rates and profit margins.

This article outlines the latest developments in the AI inference chip field, particularly the results of the MLPerf Inference v4.1 competition, which gathered the latest chips from companies such as AMD, Google, UntetherAI, Cerebras, FuriosaAI, and Nvidia. Nvidia's H200 and GH200 chips maintain a lead in the 'Data Center Closed' category, but chips from other companies excelled in specific tasks, especially in terms of energy efficiency. AMD's Instinct Accelerator.

Nvidia has encountered engineering challenges during the launch of its next-generation AI chip series Blackwell, leading to delays in the product release schedule and affecting market expectations. The main issue arises from the need to redesign an AI accelerator for compatibility with the Hopper H100 chip, as well as a processor combined with a graphics card that cannot be mass-produced due to technical problems. These challenges highlight the complexity of the technology innovation process. As a result, Nvidia's stock price dropped by 6.4%, while competitor AMD's stock price rose by 1.8%. Despite the delays, analysts believe that this...

NVIDIA plans to advance the release date of the Blackwell B100 GPU to Q2 2024. NVIDIA has selected SK Hynix's HBM3e memory for the Blackwell B100 GPU. The early launch of the Blackwell B100 is aimed at meeting the rapidly growing demand for AI. NVIDIA received samples of SK Hynix's HBM3e memory in August of this year. The Blackwell B100 will help NVIDIA maintain its leading position in the AI market.