Jensen Huang says "we don't know" if China would accept Nvidia's H200 AI chips even if the US relaxed export controls, following a meeting with President Trump (Bloomberg)

Amazon's CEO Andy Jassy announced that the company's new AI chip, designed to compete with Nvidia, has already become a multibillion-dollar business, highlighting Amazon's significant strides in the AI sector.

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.

Nvidia CEO Jensen Huang expressed uncertainty about whether China would accept the company's H200 artificial intelligence chips if U.S. sales restrictions are relaxed, following a meeting with President Donald Trump. This statement highlights the ongoing complexities surrounding U.S.-China trade relations and technology exports.

OpenAI's nonprofit foundation has announced a significant commitment to philanthropy, awarding $40.5 million in grants to 208 nonprofits across the United States this year. This marks a notable increase from the $7.5 million donated in 2024, reflecting a strategic shift in its funding approach to support local communities and various causes.

Lockheed Martin Corp. has inaugurated a new laboratory dedicated to hypersonic weapons in Alabama, amid increasing concerns that the US is lagging behind China and Russia in the development and deployment of this advanced military technology.

Nvidia Corp. is poised to achieve a significant lobbying victory as U.S. lawmakers have excluded a proposal from essential defense legislation that would have restricted the company's ability to export advanced AI chips to China and other adversarial nations.

Amazon has launched its latest AI chip, Trainium3, alongside the multimodal Nova 2 Omni model at the re:Invent conference, marking a significant step in its efforts to enhance its artificial intelligence capabilities. This development intensifies the competition in the AI chip market, particularly against established players like Nvidia and Google.

The introduction of CUDA-L2 represents a significant advancement in optimizing Half-precision General Matrix Multiply (HGEMM) CUDA kernels through the integration of large language models and reinforcement learning. This system has demonstrated superior performance compared to existing matrix multiplication libraries, including torch.matmul and Nvidia's cuBLAS, achieving notable speed improvements in offline execution modes.