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Project Dojo - the SaaS Product?

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alternate translation: nVidia is a very good competitor and has been able to meet/beat every critical performance milestone for the Dojo project so far (the net: They push each other to go even faster)

One lesson Tesla finally learned, "don't show the secret sauce ahead of time". So this could also be applicable to DOJO stmt.
Things now will all be shared in the almost alpha/production version, not in proto and beta versions.
 
If anyone doubts that nVidia is competing in a league of its own for AI compute, I suggest you check out the latest training results: Leading MLPerf Inference v3.1 Results with NVIDIA GH200 Grace Hopper Superchip Debut | NVIDIA Technical Blog

Summary: Google's TPUs got knocked down and there are simply no other competitors currently. This is why Dojo isn't being used for production training at Tesla.

Huh? Elon specifically said that Dojo is being used for training.
 
They mentioned working on future versions of Dojo... if it was going really badly they would just abandon the project....

Dojo isn't just hardware, there is supporting software, a lot to debug and optimise...

It is a bit like batteries,,,, 4680s didn't mean Tesla would stop using competitors batteries, sometimes the competing product is the best option and the fastest path to the desired result.

Would they start the Dojo project knowing what they know now? That is the difficult question to answer... one risk is that competing product becomes high priced or hard to get.
Exactly, if Dojo costs 25% less than unobtainium Nvidia and is half the speed they still have a winner.
 
Dojo is one of Elon's few bad ideas, just a step below the Boring Company.
What is the difference between a bad idea, and idea that takes a lot of hard work over a long timeframe to achieve...?

The difference is most people give up far too early, and far too easily, that is why they never achieve anything..

It takes tenacity to make things work...

Elon does a few things that are hard to achieve, or which might never be achieved, which if they can be done have a large pay-off. Someone has to tackle the difficult problems.
 
What is the difference between a bad idea, and idea that takes a lot of hard work over a long timeframe to achieve...?

The difference is most people give up far too early, and far too easily, that is why they never achieve anything..

It takes tenacity to make things work...

Elon does a few things that are hard to achieve, or which might never be achieved, which if they can be done have a large pay-off. Someone has to tackle the difficult problems.
Having an inhouse supercomputer is a great idea. Having it based on your own proprietary chip isn't. Elon gambled and failed.
 
Having an inhouse supercomputer is a great idea. Having it based on your own proprietary chip isn't. Elon gambled and failed.
I think the project is proceeding on the basis that it may work out, and may come in handy, that was always the plan..

It was revealed at AI day just to help attract talent,,

The problem with the early reveals is the media and investors expect quick and certain results...

Doing their own chip worked out well for the FSD computer, at worst they are batting 1 out of 2.
 
Other thread suggests this is 500M over 5 years, so 100M/yr... which in AI compute spending terms is very very little... sounds like indeed V1 turned out quite underwhelming and this is more like a larger scale testbed situation to see if they can get a better V2 or V3 product that's genuinely worthwhile compared to giving Nvidia/AMD money further in the future.
 
Solar pretty much is all about scale and making them cheap. The solar roof has innovation but still requires work to make the install easier.

When it comes to AI chip it's another story. Amd and Nvidia holds the majority of the GPU ip while TSMC is the world's most advanced fab. The barrier to entry is near impossible as we see chip giant Intel struggle even though they have been making igpu for 2 decades.

However Dojo main ability is its from scratch design with massive focus on interconnects as Tesla predicts gigantic models eventually bottle necking the design from other manufactures. Even though amd has multichip design using infinity fabric and Nvidia using infiniband, both are extremely fast, but cabinets to cabinet interconnect still needs work.

But yea the problem here is cost. 40k for a Nvidia gpu and 15k for an amd one is literally the cost of a car. If Tesla can get one working at half cost then it's a huge win.