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"The Jupiter will instead have SiPearl’s ARM processor based on ARM’s Neoverse V1 CPU design. SiPearl has designed the Rhea chip to be universally compliant wit
by RetroTechie 3y ago
"The Jupiter will instead have SiPearl’s ARM processor based on ARM’s Neoverse V1 CPU design. SiPearl has designed the Rhea chip to be universally compliant with many accelerators, and it supports high-bandwidth memory and DDR5 memory channels."
And
"Jülich is also building out its machine-learning and quantum computing infrastructure, which the supercomputing center hopes to plug in as accelerator modules hosted at its facility."
So a modular setup, where different aspects can be upgraded as needed. Btw:
> Also note — this project is quite modest in scale.
"Exascale" and €273M doesn't sound modest to me. No matter what it's compared against.
- pclmulqdq 3y agoAlmost all of the AI computers being built now are relatively modestly sized compared to a supercomputer. All but the biggest ones are at or under the low hundreds of nodes (low thousands of GPUs). The only real exceptions are the few AI hyperscale companies that want to sell GPU computing to others.
- bee_rider 3y agoDo AI hyperscalers devote a their whole system to one big run anyway? If they don’t, then those are big clusters in the sense that AWS is the world’s biggest supercomputer, which is to say, not.
- pclmulqdq 3y agoAWS is not a supercomputer because it doesn't have high-adjacency networking. If AWS turned its biggest region loose on Linpack, I would be surprised if they cracked the top 50 on the supercomputer list, despite probably having more cores than #1. The AI hyperscalers certainly claim to be able to devote 100% of cluster capacity to one training run. Google is training some huge models, OpenAI is also.
- xadhominemx 3y agoAt €300m, the Jupiter will be ~10,000 H100s. Each major CSP will have several clusters this size or larger within a few quarters.