So instead of a working HPC, what we saw in #Dojo is a single node that’s is running a rudimentary NN on a single test bench. Designing a chip is easy. What’s hard is building the compiler, runtime scheduler in a HPC environment at scale. none of which @Tesla is anywhere close to
When asked, its brushed off as “No but we will”. This exapod doesn’t exist it’s a photoshopped image and won’t exist for many years. That’s why there’s no MLPerf benchmarks. There is only one exapod in existence & that’s @Google TPU version 4. In use today by @Waymo#Dojo
By the time this is working and ready in the presented form and specs there will already be a TPU V5. @Tesla will always be 3-4 years behind on this front. But this won’t stop the fanboys because ignorance is bliss.
1/ Setting the record straight: What you see here is Sim 1.0, while the industry is moving towards Sim 2.0. Example are @Waymo Simulation City and @RaquelUrtasun GeoSim. Ex: the below reconstruction was manually recreated in Unreal Engine 4 and would take *hours/days. #TeslaAIDay
2/ Even environments recreated with procedural tools (1.0 tech) are limited by hand modeled assets & textures by artists, introducing huge domain gaps. Its not scalable & is why Sim 1.0 is being depreciated (taking backseat) in some AV companies while Tesla is just introducing it
3/ .@theinformation said in Q4 2018 that Tesla's simulation were "in their infancy". Sim 1.0 is ~2015 era tech that gives perfect labeled ground truth, procedural scenario generation & reconstruction, etc. @aurora_inno goes into details of Sim 1.0 here. aurora.tech/blog/scaling-s…
I will be live tweeting @Tesla AI Day Here. Personally looking at the data flow, latency, low power and performance of #Dojo and how it compares to @Google#TPU version 4 and other HPC systems and how it directly relate to #AutonomousVehicles#FSDBeta
Well as usual, Tesla is fashionably late and we are almost 18 mins past the start time. And the beat goes on...
#AIDay starts with a demo of FSD with the driver griping the steering wheel with his left hand in what looks to be the streets of California. #DojovsTPU#Dojo@Tesla
June 2016: "I really consider autonomous driving a solved problem, I think we are less than two years away from complete autonomy, safer than humans, but regulations should take at least another year"