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System Name | The Phantom in the Black Tower |
---|---|
Processor | AMD Ryzen 7 5800X3D |
Motherboard | ASRock X570 Pro4 AM4 |
Cooling | AMD Wraith Prism, 5 x Cooler Master Sickleflow 120mm |
Memory | 64GB Team Vulcan DDR4-3600 CL18 (4×16GB) |
Video Card(s) | ASRock Radeon RX 7900 XTX Phantom Gaming OC 24GB |
Storage | WDS500G3X0E (OS), WDS100T2B0C, TM8FP6002T0C101 (x2) and ~40TB of total HDD space |
Display(s) | Haier 55E5500U 55" 2160p60Hz |
Case | Ultra U12-40670 Super Tower |
Audio Device(s) | Logitech Z200 |
Power Supply | EVGA 1000 G2 Supernova 1kW 80+Gold-Certified |
Mouse | Logitech MK320 |
Keyboard | Logitech MK320 |
VR HMD | None |
Software | Windows 10 Professional |
Benchmark Scores | Fire Strike Ultra: 19484 Time Spy Extreme: 11006 Port Royal: 16545 SuperPosition 4K Optimised: 23439 |
With Radeon Instinct already powering two of the fastest three supercomputers in the world (and soon to be three of the top-four), it's quite clear that CUDA is more or less inconsequential at the supercomputer-level.
Here's a hint...they don't. They want what does the job that they need done and CUDA clearly has nothing to do with these purposes, as we've seen by the part selection made over the past few years. If EPYC and Instinct do the job they need done better than the offerings from Intel and/or nVidia, they're going to use them. This is the US government we're talking about here, you know, the one with the unlimited budget (unless it comes to giving their citizens universal healthcare). If nVidia hardware was better (as you seem to be trying so hard to claim), then that's what they'd be using. Oh, except that they're not...
Sales are sales.Those are bold claims. Can't say with much confidence that's from a diverse set of clients. More likely down to a few clients of likes of National labs ordering by contract for a SuperComputer.
These supercomputers calculate extremely complex atomic and molecular interactions like protein folding and nuclear chain-reactions. Two of the top-three fastest supercomputers in the world are powered by EPYC and Radeon Instinct, those being Frontier (currently the fastest on Earth) and LUMI (3rd-place). When El Capitan comes online, the two fastest supercomputers in the world will be powered by EPYC and Radeon Instinct. CUDA is of no consequence at this level and it shows by the very presence of Frontier and LUMI in the #1 and #3 spots, respectively. The fastest supercomputer with nVidia hardware is Leonardo and it's in 4th-place. These supercomputers aren't used for running blender and the components are chosen by some of the top computer engineers in the world. They don't care what colour the box is when the parts arrive so nVidia doesn't have its "clueless noob" advantage like it does in the gaming spaces. These computers are used by engineers at a level that is far above what you would find in a university. These computers are used by engineers from agencies like NASA. Do you think that NASA engineers give a damn about a bunch of university professors using CUDA in their CGI courses?CUDA is really entrenched in Universities especially in the US, it is even part of the curriculum in some Unis for their undergrads/grads. These future professionals once graduated they take that CUDA mindset to their workplaces. If at all they get into steering roles they will push Nvidia ecosystem. Then when those people hire the next group of engineers, these seniors will be looking for CUDA experience. That's not brand loyality its just prefefnece for familarity.
Here's a hint...they don't. They want what does the job that they need done and CUDA clearly has nothing to do with these purposes, as we've seen by the part selection made over the past few years. If EPYC and Instinct do the job they need done better than the offerings from Intel and/or nVidia, they're going to use them. This is the US government we're talking about here, you know, the one with the unlimited budget (unless it comes to giving their citizens universal healthcare). If nVidia hardware was better (as you seem to be trying so hard to claim), then that's what they'd be using. Oh, except that they're not...
I don't know what to say to this because (other than what universities use being completely irrelevant) the very existence of the top-3 supercomputers, Frontier, Fugaku and LUMI proves your statement to be 100% false. None of these supercomputers use nVidia hardware for anything. The Kubaku is the odd one out because it uses Fujitsu-designed ARM8.2 cores and doesn't require separate GPU cores. The other two have been extremely successful in their roles with EPYC and Instinct for the USA and Finland. After their experience with Frontier, if there were any drawbacks to using Radeon Instinct GPUs, there's not a chance that the US government would be investing even more money into an even more expensive and powerful Cray like El Capitan. They can spend limitless amounts of money on whatever they want which means that if they chose Radeon Instinct, then it is either the best for the task or at the very least, nVidia would be no better.AMD wont make much head way even with relatively cheaper hardware when their University drives are next to nothing. Professors who asked their postdocs to go with AMD did so only becuase the grants were limited for their work.
What does that have to do with the M1200X being the fastest AMD product to reach $1,000,000,000? You must be a real fanboy to bring up things that have nothing to do with the article in your attempt to say "But, but, but, CUDAAAA!!!".Then there is an imminent reality this AI bubble will be burst by startups and other companies putting out specialized ASICs that handle training and inferencing much quicker and far more efficientlty. Inferenecing on analog designs is already a thing and vastly more efficient.