China’s Answer to Nvidia Soars 425% in Market Debut

Nvidia CEO Jensen Huang successfully lobbied against proposed AI chip export restrictions and cautioned lawmakers about the risks of fragmented state-level regulations on artificial intelligence. This effort reflects Huang's influence in shaping AI policy at the federal level.

Nvidia has announced the discontinuation of support for its Linux 590 driver for GTX 900 and 10-series GPUs, marking the end of Game Ready updates for these older graphics cards. While quarterly security updates will still be provided, this decision signals a significant shift in Nvidia's support strategy for legacy hardware.

Meta has announced plans to significantly cut resources allocated to its metaverse project, a shift from CEO Mark Zuckerberg's earlier vision of the metaverse as the company's future direction. This decision reflects a reevaluation of priorities amid financial pressures and scrutiny regarding the project's viability.

AMD CEO Lisa Su addressed concerns regarding a potential AI bubble during WIRED's Big Interview event, stating that such worries are exaggerated and asserting confidence in the AI chip market's growth. She emphasized that from her perspective, the AI sector is not experiencing a bubble.

Cambricon Technologies has announced plans to more than triple its production of AI chips by 2026, aiming to capture market share from Huawei Technologies in China and to fill the gap left by Nvidia's exit from the market. This strategic move comes as the company seeks to enhance its domestic AI chip manufacturing capabilities amid increasing competition.

Nvidia CEO Jensen Huang is actively engaging with Republican lawmakers in Washington amid a heated debate surrounding the rapid advancement of artificial intelligence technology. His visit underscores the increasing importance of AI in political and economic discussions.

Researchers at Nvidia and the University of Hong Kong have introduced Orchestrator, an 8-billion-parameter AI model designed to coordinate various tools and large language models (LLMs) for complex problem-solving. This model demonstrated superior accuracy and cost-effectiveness compared to larger models in tool-use benchmarks, aligning with user preferences for tool selection.

Dan Ives, the global head of technology research at Wedbush Securities, stated that it is too early to declare an AI bubble, emphasizing the U.S. commitment to maintaining its chip market against competitors like Huawei and Nvidia. This perspective was shared during an interview on Bloomberg The Close with Romaine Bostick.