AMD is largely regarded as the only firm capable of challenging Nvidia's dominant position in the AI GPU market. AMD recently held its Advancing AI conference in San Francisco, where...
At the 2024 China Computing Power Conference, Xiao-hui Yu, President of the China Academy of Information and Communications Technology (CAICT), analyzed the newly released "China...
SK Hynix recently spotlighted its high-bandwidth memory (HBM) technologies with great emphasis on its collaboration with Nvidia during its participation in TSMC's Open Innovation...
Samsung Electronics and Naver previously announced a collaboration to develop artificial intelligence (AI) accelerators for servers. However, recent reports suggest that the two companies...
Intel, a tech giant already struggling in the AI race, has seen its recent operational performance falter and its market value plummet to a level startlingly close to that of OpenAI...
SparkLabs Taiwan held its ninth Demo Day on August 2, focused on AI applications, showcasing integrated AI agents managing cross-platform marketing and communication tasks, indicating...
The current hypergrowth in GPUs and other accelerator chips for AI in the cloud and the data center will eventually decelerate but not until it has transformed the industry, according...
FuriosaAI Inc. is pleased to announce its collaboration with GUC (Global Unichip Corporation) as a key partner on the secondgen AI accelerator, RNGD (pronounced "Renegade"), the most...
Samsung's recent announcement of securing a 2nm chip order from Japan's AI accelerator developer Preferred Networks (PFN) has sparked discussions about the actual production progress...
AMD has released its roadmap for forthcoming AI accelerators until 2026, which includes the MI350, which will be manufactured utilizing TSMC's 3nm process technology.
Intel, Qualcomm, Google, and other industry titans have formed the Unified Acceleration (UXL) Foundation, an open accelerator software ecosystem aimed at challenging Nvidia's market...
