Quantum #81
Issue #81 of the weekly HPC newsletter by HMx Labs. KPop Demon Hunters styled HPC this week. Quite silicon focused with news from AMD in the AI space, Intel getting 18A working, updates on Cloud my take on AI’s future in FSI.

This week’s HPC news comes to you loaded with ibuprofen, paracetamol and caffeine whilst watching KPop Demon Hunters with the kids. Yep, we’re all sick. Be glad you’re not being subjected to the chorus of “Golden” or “What it Sounds Like”. Actually, I quite like both of those. Oops did I just admit that out loud.

I wonder how KPop Demon Hunters was rendered. I know Pixar used to (maybe still do?) preferred CPUs rather than GPUs due to memory limitations. A quick search and some Gemini output seems to indicate that Sony Pictures used Unreal Engine for KPop Demon Hunters, not sure how true that is but assuming it is, I would guess that means it was GPU rendered. Not an area of HPC I know much about at all. Anyone in my network want to share?
The rest of your HPC news is below. I make no guarantees about my lucidity or state of mind whilst writing this so take it at your own risk 😉
In The News
Updates from the big three clouds on all things HPC. Couple of new VM types from AWS, a scary vulnerability on Azure and the DORA report on AI from Google.

AMD finds a way back into the AI space with a strange circular deal with OpenAI

Intel finally reveals a new processor that we can hope might be competitive. I think there’s going to be a lot riding on this one

I know I mentioned this last week too, but HPC Wire’s take has some interesting insight into Rivos and the potential future for AI acceleration on custom silicon

From HMx Labs
There are some fun similarities between HPC in academia and finance that I would never have thought I’d find

Yes, AI is in a bubble. Yet somehow, even being a die-hard AI sceptic (whilst simultaneously making a lot of us of it to create code and content at HMx Labs!) I am actually starting to see some extended utility. Nothing close to the heady proportions that Altman and company would like you to believe and possibly not with LLMs but utility with AI non the less on the horizon. There’s still work to do before we get there though.

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