… Andere says Wafer also adds “agentic harnesses” to existing coding models like Anthropic’s Claude and OpenAI’s GPT to soup up their ability to write code that runs directly on chips. Many prominent tech companies now have their own chips. …
… As software companies and AI labs continue to train increasingly powerful AI models, they have begun announcing ambitious plans to build custom chips that serve their own specific AI needs. …
… Releasing models openly may have long-term strategic benefits for Nvidia, too. The company’s chips remain the gold standard for training large AI models, with customers spending billions to acquire the company’s hardware for their datacenters. …
… That flexibility matters because US export controls restrict Chinese firms from accessing the world's most advanced AI chips, particularly those used for training, which at this point are primarily developed by Western companies like Nvidia. “We will continue to push for training on more different … …
… It’s also another step in the company’s embrace of open-source AI models, part of a broader strategy to maintain its dominance in AI infrastructure at a time when leading AI labs are building their own custom chips. …
… Nvidia’s chips are currently the gold standard for training large AI models, and the company has made big efforts to move into advanced robotics by developing specialized hardware and software tools. …
… Add in the Neural Engine that comes with all M5 chips, and you have one of the most powerful AI laptops on the market. …
… HiSilicon says it’s also improving chip performance by accounting for nanoscale electronic phenomena; designing chips to work well together; and developing interconnects that speed chip-to-chip communication, a key trick for training large AI models. “For both AI training and inference, the win is … …
… Earlier this year, Musk criticized Anthropic’s AI models in a post on X, calling the company’s policies “misanthropic” and “evil,” and alleging without evidence that the AI models showed racial and sexual biases. …
Announced over the weekend at the Computex tech expo in Taiwan, RTX Spark chips combine unified memory, RTX graphics, and the new part: the N1 CPU. Nvidia already owns the entire world of AI processed in data centers with its GPUs. But now it's making its play for locally run AI too. …