I think almost the exact opposite. They want open models. Without credible open models, they only have a few customers, and those customers have leverage against nvidia. With open models, they have tons of customers, and nvidia has all the leverage.Smaller customers are also less able to develop their own hardware and threaten NVidia&#x27;s business.

Have you used Nemotron-3.5-lightening? I don’t use it as much as Poolside’s (excellent!!) Laguna XS 2.1 6bit, but the new Nemotron model is good.I think NVIDIA does want small open models running on-prem to explode as a market! Lots of smaller GPU installations for companies who wisely want on-prem inference.Of course NVIDIA will also keep making a ton of money selling to hyper scalers, but not forever: Chinese chips are getting better, Google, Microsoft, Amazon, etc. designing their own inference chips.NVIDIA is handling this brilliantly.

Nvidia is trying to increase its customer base. Look at the Mag 7, Amazon, Google, Microsoft, and even Meta are all working on their own inference chips. I don&#x27;t think they can completely ditch Nvidia for LLM training, but they can make their own chips for inference. I believe that&#x27;s also why OpenAI made its own.No one wants to pay the Nvidia tax

I think this is a classic [Commoditize Your Complement](<a href="https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=17047348">https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=17047348</a>) - Nvidia wants open models because their business is hardware and it&#x27;s complement is AI models, so they want AI models to be commoditized so that hardware is the industry with leverage. OpenAI&#x2F;Anthropic&#x2F;etc want closed models so that the AI model development&#x2F;data has leverage over the hardware providers.

I believe NVIDIA&#x27;s long term strategy will be to pivot from the data center to the public, and the public will utilize open models on NVIDIA hardware at home. This will come after the RAMpocalypse completes (when the new fabrication plants (China, Tesla&#x2F;SpaceXAI&#x2F;Intel) fully ramp up and start selling their RAM for cheap in the next few years). Data centers will be for training mostly.

I doubt Nvidia wants to be fully dependent on the success of two highly unprofitable companies that could implode at any moment. It makes much more sense for them to commoditize LLMs so that their target market grows to every mid-sized or larger company.

Maybe as an LLM it is, but I constantly use their streaming ASR model (called Nemotron Streaming) through Handy and it works wonderfully well.

The other way. Nvidia would love open source jevon paradoxed ai - that would run inference on their chips.

I think the idea that they’d purposely spend company time and resources making a bad model is an extraordinary claim, requiring extraordinary evidence. The more likely explanation is that they aren’t willing to distill from their own customers, so they are at a disadvantage.

Insane conspiracy theory. There&#x27;s no incentive whatsoever for Nvidia to release weak models. If you bothered to pay any attention, they are aggressively trying to catch up. Whether they succeed, that&#x27;s of course a separate question.

Their strategy is to prevent open models from proliferating, so their massive investments in these AI frauds are not completely unwound.That&#x27;s my take, at least.Nemotron is TERRIBLE, and purposefully so. It must be.They cannot be THAT BAD at training AI models. I don&#x27;t believe it.

Yes, NV took $800M of a $2B round in Reflection.ai.NV&#x27;s long-term strategic incentive in funding a semi-open model provider like Reflection.ai is to ensure competitive frontier models which fully leverage the NV proprietary stack (chips, interconnects, servers, CUDA) continue to be widely available and continue to offer performance worth a higher price to the most profitable market segments.NV&#x27;s ~75% margins on hardware(!) at &gt;$100B&#x2F;yr scale are historically unprecedented and still increasing, creating tectonic pressure on NV&#x27;s largest customers (hyperscalers and frontier labs) to escape the &quot;NV Tax&quot; by gaining access to competitive frontier chips, servers, and&#x2F;or middleware at lower margins. Why would NV help create semi-open models that threaten their best customers? Because as Jeff Bezos famously said, &quot;Your margin is my opportunity&quot; and that&#x27;s turning NV&#x27;s biggest customers into their largest existential threat.At the moment, NV&#x27;s moats blocking significant competition are almost unimaginably deep, but on a decadal time-scale, literal trillions of dollars are at stake. That&#x27;s enough to get people thinking the unthinkable, making NV the biggest target in modern business history. It&#x27;s to the point that it&#x27;s almost &quot;Everyone against NVidia&quot; which is forcing all the big companies into playing 3D strategic chess on multiple time horizons at once, simultaneously working with, investing in and hedging against each other. It&#x27;s a &#x27;co-opetition&#x27; (<a href="https:&#x2F;&#x2F;en.wikipedia.org&#x2F;wiki&#x2F;Coopetition" rel="nofollow">https:&#x2F;&#x2F;en.wikipedia.org&#x2F;wiki&#x2F;Coopetition</a>) race where the smaller players are grouping into tactical alliances and uneasy truces while the biggest players are spending billions to &#x27;commoditize their complements&#x27; (<a href="https:&#x2F;&#x2F;gwern.net&#x2F;complement" rel="nofollow">https:&#x2F;&#x2F;gwern.net&#x2F;complement</a>) as NV is doing with Reflection.ai. This can create strange bedfellows overnight. I wouldn&#x27;t be surprised to see some of NV&#x27;s biggest customers, who compete fiercely against each other, pooling resources with NV&#x27;s competitors to create a viable alternative to NV. This is the stuff Jensen has nightmares about, waking up in a cold sweat and soaked black leather pajamas.NV doesn&#x27;t need Reflection to be better than the best models or even be profitable. They just need to ensure a viable alternative to frontier lab&#x27;s proprietary models: A. Remains widely available at low enough cost for all NV&#x27;s other customers to buy, B. &#x27;Works best on NVidia&#x27;, and C. Stays close enough in price&#x2F;perf to prevent any single proprietary model becoming as dominant in models as NV is in hardware. The Chinese semi-open models have been strategically convenient for NV but it&#x27;d be foolish to count on the Chinese govt continuing to subsidize them or Chinese models not getting blocked or limited by some governments. If it only costs a few billion, Reflection.ai being &quot;good enough,&quot; especially for a semi-open, (near-)free, US-based model, is a cheap strategic hedge against long-term threats to NV&#x27;s (near-)monopoly.

It&#x27;s really hard to know what&#x27;s keeping you ahead in a field that&#x27;s constantly innovating.

Didn&#x27;t they just recently invest in them? Curious about their strategy, considering NVIDIA already does Nemotron and i think diffusion models as well.

I&#x27;ve seen people use those three words to make a dig at zuckerberg before, but I never put 2 and 2 together and realized the quote until just now. I think the comma was essential, made my brain automatically read it correctly... Wiseau voice and all, lol.More on-topic: I remain amazed by how the past quarter century of American legislation has included one overwhelming boon for corporations after another. Once corporations could give an infinitly higher amount of political contributions when compared to individual citizens, it became clear that the overall well-being and happiness of corporations was the only real political focus. Anything that doesnt directly or indirectly benefit a group of corporations is almost always designed to manipulate the electorate through invented&#x2F;perceived&#x2F;embiggened&#x2F;non-cromulent &quot;social issues&quot;.

&gt; It helped created behemoth corporationsWhat&#x27;s the mechanism for this? Genuine question: I read an overview over Sarbanes-Oxley and it seems like a reasonable idea.

The Sarbanes-Oxley Act of 2002 could be considered the worst regulation of 21 century. It helped created behemoth corporations, where a single person can misallocate hundred of billon of dollars (Oh, hi Mark), they can buy out any competition.Right now US economy is basically a centrally planned economy.

Huh? new tech companies have proliferated in the US the last few years. M&amp;A is just one side of the coin. Without an exit path -- IPO, acquisition or private credits -- there is very little appetite for new businesses.Did you know that 151 companies were founded by SpaceX&#x27;s alumni? Compare to 5 they&#x27;ve acquired (not including XAI)<a href="https:&#x2F;&#x2F;www.alumnifounders.com&#x2F;stats" rel="nofollow">https:&#x2F;&#x2F;www.alumnifounders.com&#x2F;stats</a>

If all successful new tech companies are absorbed into existing dominant tech companies, that would in fact be consolidation.

Reflection AI was founded in 2024. Is it really consolidation when new companies spawn out of nothing and get acquired 2 years later? That&#x27;s just normal M&amp;A churn.

what are they going to do with all the free money people are investing on them?

As usual, Wikipedia has it backward. There were very few theaters in existence able to show films produced by the studios. They invested in theaters and found local businessmen to operate them, both as sole proprietors and as partners.The investment was out of necessity, not interest in monopolies.Writers and directors craved an audience, so they appealed to studios for funding. That’s opportunity meeting, not monopolistic practices.

Back in the day, things like these were outlawed and the government tried to ensure competition in the markets:&gt; The major film studios owned the theaters where their motion pictures were shown, either in partnerships or outright. Thus, specific theater chains showed only the films produced by the studio that owned them. The studios created the films, had the writers, directors, producers and actors on staff (under contract), owned the film processing and laboratories, created the prints and distributed them through the theaters that they owned: In other words, the studios were vertically integrated, creating a de facto oligopoly. [...] Ultimately, this issue of the studios&#x27; then-alleged (and later upheld) illegal trade practices led to all the major movie studios being sued in 1938 by the U.S. Department of Justice.<a href="https:&#x2F;&#x2F;en.wikipedia.org&#x2F;wiki&#x2F;United_States_v._Paramount_Pictures,_Inc" rel="nofollow">https:&#x2F;&#x2F;en.wikipedia.org&#x2F;wiki&#x2F;United_States_v._Paramount_Pic...</a>.Nowadays it seems like &quot;vertically integrated&quot; is something most companies openly aim for.

Competitive markets have creative destruction

Would you prefer these companies going bankrupt and stop existing?

I don&#x27;t love that it&#x27;s Nvidia. They&#x27;re already in some weird incestuous thing with two of those three (and the rest of the market).

I would be too. Where are we going to buy the GPUs though?

Eh, given the level of trading between NVidia and the established AI companies will it be a true competitor?

That can happen without consolidation, the funding is already so circular it&#x27;s dizzying

I for one am excited by the prospect of a well-funded open-source competitor to Anthropic, OpenAI, and the Chinese models.

boy do I wish US capitalism could chill on the consolidation...

Nvidia in talks to acquire US 'open' model startup Reflection AI