OpenAI models are coming to Google Cloud

10 hours ago (openai.com)

Gotta love the disclaimer at the bottom:

  Microsoft remains OpenAI’s primary cloud partner.

  • OpenAI buys from Azure because of the Microsoft investment deal.

    OpenAI sells and reaches enterprise customers via GCP.

    Enterprises want zero data retention guarantees and they're already on AWS or GCP, so this is how OpenAI reaches those customers and makes more money.

Sergey better really go into "founder mode" or else Thomas Kurian (head of GCP) will continue to eat Deepmind's lunch.

Between selling TPUs to external companies and now hosting competitor models, Gemini just doesnt have the full faith of the Alphabet capital allocators, and I can't really blame them. A mature company like google would rather just expand their extremely profitable cloud business rather than dump billions into a black hole on the off chance they achieve RSI or superintelligence or whatever.

  • What does “capital allocators” mean here? If your implication is that the Gemini org is resource starved and a few extra dollars will put their model in the lead that is 100% incorrect. If anything it’s the bloat and bureaucracy keeping it behind.

    Signing partnerships and hosting third party models costs Google nothing, and in fact brings in a ton of revenue that will eventually go back into Gemini.

  • Infra might very well be the right play. Over the past year, it seems like the evidence is on the side that there's no "secret sauce" in AI, and models will all converge towards similar capabilities. Not much margin to be had for having the best model for a month or less until another lab leapfrogs you by 3%.

  • Google uses Gemini for its AI Overview on Google Search results, though. And it seems to me that this is an area where they really have a big incentive to run their own AI that they completely control. AI Overview sits at the top of the Google Search results first page, so when it comes to marketing it's sitting in the most coveted place on the entire Internet.

    • It's also marketing that their AI is hilariously terrible because AI Overview is the biggest posterchild for AI slop and often used as an example of how bad Google is at AI. Gemini proper isn't that bad, just the ultra cost cutting version on search is.

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> Enterprises with Google Cloud spend commitments will be able to draw down their GCP commitments for these purchases.

This is a fairly big move by Google... It means revenue they have already booked and reported to shareholders they now might have to give away - potentially all of it. Bean counters hate that!

  • “Reported to shareholders” doesn’t really mean anything. There are thousands of such line items on financial reports. The ones that matter, such as recognized revenue, don’t count future bookings. It is understood that customers renege on these commitments all the time.

    Google is simply telling customers - there’s a new Google Cloud service, and you can use it under your existing account.

  • Let's not quite right... you don't recognize revenue in a consumption business until the usage actually happened

I don't understand all the wild speculation and question here - openai is selling a shit ton of inference through third parties. these third parties want to provide inference to their customers who use gcp (and don't want to also inference through bedrock or azure ai foundary.

these are all zdr engagements and thus "enterprise" contracts.

basically it boils down to - anthropic already provides inference direct through GCP, Azure, and AWS - so to compete openai is doing the same.

How are they trusting Google not to destill them

  • This is speculation, but funnily enough Gemini models show the least evidence of being distilled from OAI or Anthropic compared to everything else in the market.

    • I feel this is correct. Google has probably the most data of any company in the world. For better or worse, they don't need to train on the outputs of other models.

  • At a org like Google Cloud barring rogue L5/6/7s acting on their own any sniffing of distillation will get leaked. Too many chaos exist at a org size of Google to systematically do it given the contract at hand. This is a company where every spicy memo or mild gossip will risk leaks.

  • Probably a very strict contract, and letting OpenAI read all the session logs like they do for their own customers.

  • Nvidia GPUs let you load encrypted weights onto them and to decrypt on chip so Google would need to have some sort of Nvidia management firmware attack to read from HBM while the GPU is live

  • Google Cloud couldn't give a shit about Google Deepmind, and backdooring Clouds customers only stands to hurt Cloud.

Google should just spin out DeepMind as an independent company and get out of the model building business: just sell tents and shovels as they say, and leave the actual (gold) mining to others.

  • Google Search is still a large fraction of Alphabet's revenue, and Alphabet needs to be able to deliver AI results for people's searches if it wants to stay relevant in the search game.

    I imagine it's much easier to have fine grained control over AI search results if you develop and own the AI yourself.

    • Last I checked their AI results were terrible, worse than anything I get from ChatGPT or Claude. The only benefit is their AI results are fast.

      If I were google there's no way I'd leave their AI overviews in place as-is.

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We need a new acronym

Google, NVIDIA, OpenAI, MSFT…

GNOM…oh wait no

The strategy that I’ve heard said out loud now by all the major technology companies is “we’re all doing it (AI) together”

In my view this was more or less the political result of the White House summit

So I think we’re seeing what is basically going to be a giant amorphous set of collaborations such that nobody gets taken down, and the whole market doesn’t collapse

If Alphabet, OAI, MSFT, AMZ…etc all agree to be interoperable then they will be acting more or less as a single body in tension.

Whether that’s good or not is a question of your worldview but I think that’s the strategy

  • Giant companies working together isn’t an AI-age phenomenon. Go back 10, 20, 30 years and you’ll see that despite the public perception of competitiveness all the largest tech companies (Apple, Microsoft, Google, Samsung, Amazon) buy/sell to each other, sign partnerships and have tight economic interdependencies.

    • Who said it’s new? :)

      However if you look at the trust busting era what preceded it was this exact kind of private “cooperation” to prevent government involvement

  • This is like that SNL skit with Tim Meadows where Will Ferrell has the F on his shirt on the kids TV show and keeps getting in the inappropriate order

  • Add in Meta (Muse app is a winner)

    MOM-NG GNOMM NGMOM MGNOM MGMNO MGMON ONMGM NOMGM NOMMG

Is this the begging of the end of Gemini?

  • Why would it? The point of Gemini is provide user facing services cheaper than if they were paying OpenAI, make some money on the side with API credits and position themselves as a leader when investors want to see AI everywhere.

    Google Cloud is competing with AWS. Amazon has Bedrock so Google needs to keep up with them by serving both Claude and GPT, along with Gemini and open models.

Prediction: google cloud will pivot to being a hyperscaler versus a model + hyperscaler. Kind of like how xAI started hosting anthropic workloads with colossus cluster.

bc the alpha is not the model, the alpha is having the physical infra (chips, power, etc).

  • But x.ai also hosts Grok? Why would google stop developing their own models? I think you're right that Google will try to make money from their infrastructure (that's basically what Google Cloud is too).

    • As much as I like Elon, if Grok was a hero shooter its concurrent steam player count will be in low hundreds.

  • >Kind of like how xAI started hosting anthropic workloads with colossus cluster.

    Google has been hosting part of Anthropic's load long before that deal. They had a big degradation due to compiler bug for TPUs in an optimization they made to work around TPUs not being able sample from the logits efficiently.

  • Is that a long term prediction? Are you saying that physical infra will always lag demand from here on?