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Data Center News > Blog > Global Market > Why is the DOJ investigating Nvidia?
Global Market

Why is the DOJ investigating Nvidia?

Last updated: September 11, 2024 4:07 pm
Published September 11, 2024
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After a inventory sell-off following its quarterly earnings report, Nvidia’s ache was aggravated final week by information that the Division of Justice is escalating its investigation into the corporate for anticompetitive practices.

In response to a Bloomberg report, the DOJ despatched a subpoena to Nvidia as a part of a probe into alleged antitrust practices. Officers are mentioned to be involved that Nvidia makes it more durable for purchasers to modify to different suppliers and penalizes patrons that don’t completely use its AI chips.

Nevertheless, analysts determine a number of issues with that argument. For one, Nvidia had no competitors up till lately. AMD was combating for its life and has solely lately launched a aggressive AI product, the Intuition line. Intel can be very current to market with Gaudi and GPU Max.

“I feel it’s arduous to make an anti-competitive case after they had no competitors. They had been the primary to market. So how do you justify that after they’re the one ones on the market with an answer?” mentioned Jim McGregor, principal analyst with Tirias Analysis.

“Nvidia clearly has the ability to misact, however alternative alone doesn’t make for against the law, and the proof of an precise crime seems to be principally conjecture at this level. No smoking gun has but emerged, and Nvidia states they haven’t even been notified of the investigation but,” mentioned Rob Enderle, principal analyst for The Enderle Group. 

Complaints are sometimes a part of antitrust stirrings. Within the Nineteen Eighties, for instance, Digital Analysis and IBM had been very vocal about Microsoft practices shutting out their aggressive merchandise (DR-DOS and OS/2, respectively). And within the Nineteen Nineties, Netscape was repeatedly complaining about Microsoft’s ways within the browser market.

See also  New life for the mainframe: AI cost savings materialize, modernization efforts pay off

AMD – which has been gaining floor on Nividia with its Intuition line of GPU accelerators – has made no public complaints about Nvidia taking part in tough with clients. Nor has Intel or startups like SambaNova made such complaints, no less than not publicly.

Nvidia does have its customized language, CUDA, which locks the client into its {hardware}. However over time, that turns into much less essential as a result of there are larger ranges of abstraction once you’re coping with libraries and fashions, mentioned McGregor.

“While you’re coping with Pytorch and stuff like that, CUDA doesn’t turn into as essential, and you may simply cross compile from one platform to a different, particularly with the instruments which can be obtainable now,” McGregor mentioned.

Enderle mentioned Nvidia’s standing modified dramatically during the last yr or so, as they took a large lead in AI, which is probably going why the regulators thought they wanted to have a look. “The issue for Nvidia is that when teams like this search for issues, they typically discover them. However there isn’t any proof of intent,” he mentioned.

One other level in Nvidia’s favor is the truth that all the trade is capability constrained, since each GPU for the info middle comes out of TSMC. Nvidia, AMD, and Intel have all mentioned that they will’t get sufficient product out of TSMC, and that they might promote extra if they may.

“It’s going to be arduous to point out anti-competitive practices when everyone on this market is capability constrained, and everyone admits that they may ship extra if that they had extra capability, and all that capability is from one producer, TSMC,” mentioned McGregor.

See also  IBM broadens access to Nvidia technology for enterprise AI

Learn extra GPU information

  • AMD doesn’t need to play video games a lot because it needs to embrace AI: A senior AMD govt spelled out what many have suspected: AMD is prioritizing AI efficiency over gaming efficiency because it joins different chip makers in chasing extra AI enterprise.
  • Startups pursue GPU alternate options for AI: The GPU is the mainstay of AI processing, however a number of firms suppose they’ve a greater choice.
  • Intel highlights new Xeons for AI at Scorching Chips 2024: Intel’s photonics group demonstrated a brand new high-speed optical interconnect chiplet co-packaged with an Intel CPU and operating dwell knowledge on the present.
  • 3 takeaways from AMD’s ZT Programs seize: AMD says the $4.9 billion deal to accumulate the server maker is ‘our subsequent main step’ in AI.
  • Expertise hole threatens US semiconductor trade: A scarcity of expert staff may have an effect on the deployment of AI, which relies on chip innovation and semiconductor availability to thrive.

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