alt Hacker NewsMore detailed presentations about the Monaka CPU:
wccftech summary: https://wccftech.com/fujitsus-monaka-chip-3d-stacks-2nm-cpu-...
2026: https://global.fujitsu/-/media/Project/Fujitsu/Fujitsu-HQ/te...
2023: https://global.fujitsu/-/media/Project/Fujitsu/Fujitsu-HQ/te...
FugakuNEXT, the supercomputer it will be used in, also some details about the next-gen Monaka-X: https://global.fujitsu/-/media/Project/Fujitsu/Fujitsu-HQ/te...
For a single CPU: 844 GB/s memory bandwidth (12 channels of DDR5 RDIMM, 8800MT/s). 4.3-6 TFLOPS.
Basically comparable to a modern (although not top-end) GPU, so good for HPC & AI workloads. (though only 2 CPUs per node, with GPUs 4-8 is more common)
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Benchmarks will be interesting to see but I doubt the cores alone will be able to reach beyond ~500GB/s of BW, and even if they match that figure it will be great.
Man this looks amazing, more competition is always welcome! The issue for Ai inference is always firmware/software support. Up until recently, that rocm hardware became usable, let alone optimized. Nvidia had a big start, now everyone is trying to catch up
Thanks for clarifying why this makes sense for inference.
For anyone not familiar with Fujitsu's CPUs, worth noting their overall long history with HPC, and more recently, ARM. FugakuNEXT is "NEXT" because the current Fugaku (#1 on TOP500 for a time, and still in the top 10) also used an ARM CPU from Fujitsu.