Latest news with #ex-Nvidia
Yahoo
2 days ago
- Business
- Yahoo
Nvidia's research boss claims the company's Chinese AI researchers are now writing programs for Huawei instead and is blaming the US chip exports
When you buy through links on our articles, Future and its syndication partners may earn a commission. Nvidia's been banging the drum against the United State's China chip export restrictions for a while now, but while it had previously highlighted this in broad terms, the company now seems to be getting more direct with its claims. According to a machine translation of a report from Taiwan Economic Daily (via Wccftech), Nvidia's chief scientist and senior VP of research, Bill Dally, claims that Huawei is scooping up ex-Nvidia AI researchers as a result of the restrictions. According to Dally, admittedly via a machine translation, the growth in the number of AI researchers working in China—apparently growing from a third of the world's researchers in 2019 to almost half of them today—has been forced by the US export restrictions. The idea is that without these restrictions, Huawei wouldn't be forced to lean so strongly into home-grown AI solutions, but now it must do so to keep up. Nvidia is clearly keen on presenting this argument (probably in hopes that the US administration specifically will hear it) to show that there are arguable downsides of banning its exports to China for the US. It certainly appeals to the ears of those concerned about the US-China technological arms race. As I said, though, the general argument isn't new—Nvidia has been touting it for a while. At Computex last month, Nvidia CEO Jensen Huang said: "AI researchers are still doing AI research in China" and "if they don't have enough Nvidia, they will use their own [chips]." And regarding Huawei specifically, Huang said the company has become "quite formidable". There is, of course, another reason other than US national interest that might make Nvidia keen to highlight possible negatives of export controls. Namely, the fact that these restrictions have cost and will cost the company lots of money. Nvidia itself has confirmed this, stating that after billions of dollars lost through restrictions of its H20 chips to China in Q1, it's expecting another $8 billion to be lost for the same reason in Q2. That's because Hopper, the company's previous chip architecture, "is no longer an option", according to the CEO. Huawei's latest Ascend 910 and 920 chips, courtesy of China's SMIC (Semiconductor Manufacturing International Corporation), will probably now be better options for Chinese AI companies than trying to get hands on Nvidia silicon somehow. And with ex-Nvidia researchers now apparently padding out the Chinese industry, who knows what will be cooked up next and when. Nvidia certainly seems to be presenting itself as worried about what's to come. The company can't complain about the vaguely 'poachy' aspect of this, though, really—not when Nvidia seems to be enticing likely TSMC employees in Taiwan with high salary job advertisements. Sometimes business is just business, you know? Best gaming PC: The top pre-built gaming laptop: Great devices for mobile gaming. Melden Sie sich an, um Ihr Portfolio aufzurufen.
Yahoo
23-05-2025
- Business
- Yahoo
Amazon, Meta Veterans Raise $4M For Tensor9 Startup Backed By NVAngels That Redefines Enterprise AI Deployment
Seattle-based startup Tensor9 has raised a $4 million seed round to reshape how enterprise software, especially AI tools, is deployed inside high-security environments. The company is led by Michael Ten-Pow, a former Amazon Web Services engineer with over a decade of cloud infrastructure experience at Amazon (NASDAQ:AMZN). Founded in 2023, Tensor9 has already attracted the attention of heavy-hitting investors. Wing VC led the round, joined by Level Up Ventures, Model Ventures' Devang Sachdev, and NVAngels, a group of ex-Nvidia (NASDAQ:NVDA) professionals, according to GeekWire. Don't Miss: Hasbro, MGM, and Skechers trust this AI marketing firm — Deloitte's fastest-growing software company partners with Amazon, Walmart & Target – According to TechCrunch, Tensor9 is focused on solving a growing problem: how to let vendors deliver advanced AI software to enterprise clients without forcing sensitive data out of its original environment. TechCrunch says that the company enables vendors to install their software directly into a client's existing tech infrastructure, whether it lives in the cloud, on-premise, or on bare metal servers. Instead of shipping data to a software-as-a-service platform, vendors can now deploy code inside a customer's walls, which is crucial for industries like finance, healthcare, and government. Tensor9 uses a digital twin architecture to make this possible. Each customer environment is mirrored through a virtual replica, which allows vendors to monitor, support, and update deployed software without breaching any privacy firewalls. Logs, metrics, and even hardware issues are fed back to this virtual twin in real time, GeekWire says. Trending: Maker of the $60,000 foldable home has 3 factory buildings, 600+ houses built, and big plans to solve housing — 'You can't just throw a piece of software over the wall, or it's very difficult to throw a piece of software over the wall, and know what's going on, be able to find issues, debug them, fix them,' Tensor9 CEO Ten-Pow told TechCrunch. 'They see it running, they can debug it, they can log in and understand what the issues are and fix them.' Tensor9 began as a bootstrapped project after Ten-Pow realized that System and Organization Controls 2 compliance wasn't the real obstacle stopping startups from closing enterprise deals. Instead, companies wanted software that could run locally, under their own control, with no risk to data sovereignty, TechCrunch reports. That insight became the foundation for Tensor9. In the same year the company launched, Ten-Pow brought on two former AWS colleagues, Matt Michie and Matt Shanker, as founding engineers, TechCrunch says. According to the company's website, Dan Armendariz, who also comes from Amazon, is a founding engineer as well. Shanker brings additional experience from Epic and Twitter, while chief engineer Matt Michie's background includes work at Amazon, Meta (NASDAQ:META), Uber (NYSE:UBER), and Twitter. Tensor9 is currently working with AI companies like 11x, Retell AI, and Dyna AI, which need to deliver privacy-preserving solutions to major clients in finance and data-heavy sectors, according to $4 million secured, Tensor9 plans to hire additional engineers and refine its platform for wider industry use, as detailed on the company's website. TechCrunch says that the team is already seeing interest beyond voice AI, branching into enterprise search, data management, and large-scale database software. 'We have a simple model but underneath the covers there's a lot of complexity that makes that happen, hard technical challenges that we've solved to make that happen,' Ten-Pow told TechCrunch. 'I think that was one of the things that helped us convince the investors to invest in us.' As data privacy rules tighten and AI adoption grows, startups like Tensor9 may be able to redefine how intelligent software reaches the enterprise. Their hybrid approach of marrying cloud-like control with on-prem security could be the model that finally unlocks enterprise AI at scale. Read Next: Invest where it hurts — and help millions heal:. 'Scrolling To UBI' — Deloitte's #1 fastest-growing software company allows users to earn money on their phones. Image: Shutterstock UNLOCKED: 5 NEW TRADES EVERY WEEK. Click now to get top trade ideas daily, plus unlimited access to cutting-edge tools and strategies to gain an edge in the markets. Get the latest stock analysis from Benzinga? APPLE (AAPL): Free Stock Analysis Report TESLA (TSLA): Free Stock Analysis Report This article Amazon, Meta Veterans Raise $4M For Tensor9 Startup Backed By NVAngels That Redefines Enterprise AI Deployment originally appeared on © 2025 Benzinga does not provide investment advice. All rights reserved.
