NVIDIA has announced a significant $1 billion investment over the next five years to establish a new lab in Silicon Valley, aimed at enhancing its capabilities in AI and quantum computing. The company is collaborating with Eli Lilly to combine expertise in human biology modeling, while simultaneously unveiling Ising, an open-source AI model designed to address critical quantum system challenges. With a projected surge in quantum computing demand and a strong performance forecast, NVIDIA is solidifying its leadership position despite growing competitive pressures in the AI hardware space.
“The headline this morning that NVIDIA will invest $1 billion over five years to build a new lab with you in Silicon Valley.”
“WE'RE PUTTING TOGETHER DOZENS OF COMPUTER SCIENTISTS FROM NVIDIA, BIOLOGIC AND CHEMICAL SCIENTISTS FROM LILLY IN ONE PLACE.”
“Jensen regrets that when Anthropic and OpenAI first needed billions to scale, Nvidia wasn't in a position to invest. So these labs went to hyperscalers like Microsoft, Google, and Amazon instead, and in return committed to using their compute.”
“A small team just outperformed Nvidia on the industry benchmark for document retrieval. Twice. webAI-ColVec1 holds #1 and #3 on ViDoRe V3. Nvidia's best model sits at #2 in between.”
“Nvidia's best model sits at #2 in between.”
“Based on Jensen Huang's comments in the Dwarkesh interview, here are the 5 most important suppliers and partners Nvidia relies on for its supply chain moat: 1. TSMC: Core foundry partner; built entire supply chain around them, co-developed COUPE tech and licensed patents to scale advanced packaging.”
“Based on Jensen Huang's comments in the Dwarkesh interview, here are the 5 most important suppliers and partners Nvidia relies on for its supply chain moat: 2. Micron: Early believer who doubled down on AI predictions; key partner for HBM and LPDDR memory investments.”
“Based on Jensen Huang's comments in the Dwarkesh interview, here are the 5 most important suppliers and partners Nvidia relies on for its supply chain moat: 3. SK Hynix: Major HBM memory supplier integrated into TSMC packaging for AI chips.”
“Based on Jensen Huang's comments in the Dwarkesh interview, here are the 5 most important suppliers and partners Nvidia relies on for its supply chain moat: 4. Samsung: Key HBM memory provider alongside SK Hynix and Micron for logic dies and high-bandwidth needs.”
“Based on Jensen Huang's comments in the Dwarkesh interview, here are the 5 most important suppliers and partners Nvidia relies on for its supply chain moat: 5. Lumentum and Coherent: Strategic investments to reshape silicon photonics ecosystem for future interconnects and scaling.”
“The whole pie is going to grow much bigger but yeah I expect NVDA to have a smaller market can than the one they have today and the margins will also come down over the years.”
“Nvidia anunció Ising, una familia abierta de modelos de IA para calibración y corrección de errores en procesadores cuánticos.”
