Tesla is hovering around an all-time high despite its core automotive business posting poor results. Nvidia’s high margins enable it to invest aggressively in research and development without draining ...
Nvidia will license Groq’s technology and hire its top executives, adding to the Silicon Valley giant’s heft in artificial intelligence chips. By Ryan Mac and Tripp Mickle Nvidia, the maker of ...
Nvidia has struck a non-exclusive licensing agreement with AI chip competitor Groq. As part of the deal, Nvidia will hire Groq founder Jonathan Ross, president Sunny Madra, and other employees. CNBC ...
Nvidia trades at 25x forward earnings compared to Intel at 61x and AMD at 33x despite superior margins and growth. The company reports $275B in backlog for 2026 with analysts expecting up to $412.5B ...
BYD is now the largest electric vehicle seller in the world. Tesla is shifting its focus from just car manufacturing to AI and software development. Despite slowing sales, Tesla has a widespread ...
Nvidia (NVDA) reached a $4.6T market capitalization driven by dominance in AI chips. Concerns have grown that Nvidia will lose its top dog position as competition grows. But there is one number that ...
TL;DR: The NVIDIA RTX PRO 5000 72GB Blackwell GPU offers enhanced memory and performance for AI developers, scientists, and creatives handling memory-intensive workflows. With 72GB GDDR7 memory, 2,142 ...
As 2026 dawns, a resurfaced video of NVIDIA CEO Jensen Huang has reignited excitement across the tech industry, with the chipmaking titan declaring Tesla's Optimus humanoid robot capable of igniting ...
Nvidia Corp. agreed to a licensing deal with artificial intelligence startup Groq, furthering its investments in companies connected to the AI boom and gaining the right to add a new type of ...
Nvidia’s stock has been under pressure in recent weeks from growing fears around artificial intelligence spending and emerging threats to the company’s dominance. These questions will undoubtedly ...
Big workloads that lean on a GPU often require gobs of memory, especially when dealing with large language models (LLMs) and other AI workloads. Hence the reason why ...