Quantum #67

Issue #67 of the weekly HPC newsletter by HMx Labs. New people at HMx Labs, GPU, ASICs and the AI market and a HPC skills diagram.

Quantum #67

With everything that’s been going on over the last few weeks and months at HMx Labs I’ve been a little remiss and completely forgotten to introduce everyone to our newest HPC engineer Callum Ward. He’s been with us for a couple of months or so now and some of you may have met him at HPC Club.

In an attempt to make space in my brain (which she is proving very effective at) and sort out our business strategy we’ve also recently taken on Amerah Saleh

Lastly, we also now have the world’s most experienced HPC apprentice (if you know you know 😆) helping us get Supercomputing Strategy Group sprinting along. I’m sure many of you will be pleasantly surprised to be speaking to him in due course so I won’t ruin the surprise.

Oh and HPC NErD has found a permanent home, keeping an eye on me and making sure I don’t slack off too much too 😁

Rest of the real HPC news from last week is below as usual.


In The News

Updates from the big three clouds on all things HPC. Very quiet this week!

HPC Cloud Updates WE 06 Jul 2025
Updates to AWS, Azure & GCP in the last week relevant for HPC practitioners. Well, there’s a new Graviton VM instance type from AWS but apart from that you might as well skip this one.

Pretty interesting data driven take here from Next Platform on the future of hardware sales as it relates to AI (and not)

Even AI Can’t Predict How Much Accelerated Iron The World Will Buy
As we have said many times here at The Next Platform, the only way to predict the actual future is to live it. Despite that, people have a need to

The first half of this podcast about GPUs and ASICs from the hyperscalers is quite interesting though could have done with a bit more depth for my liking.

Even AI Can’t Predict How Much Accelerated Iron The World Will Buy
As we have said many times here at The Next Platform, the only way to predict the actual future is to live it. Despite that, people have a need to

It will be interesting to see how the hyperscaler silicon in the AI space evolves for sure. As the podcast also clarifies they aren’t really ASICs in the sense you might understand from the use of the word in cryptocurrencies and blockchain and are still closer to  a GPU than an ASIC. For now. I guess if we ever see enough standardisation in the processing operations needed by models, we’ll see those operations get embedded into hardware… but if that happens what’s to stop them being embedded into CPUs too… 

HPC News Bytes 20250630: The GPU-ASICs War – Chips from Microsoft, Meta, Google, and Why Engineering Projects Get Delayed
A happy Fourth of July week to you! There’s been much movement lately by the Big Tech companies developing their own AI chips, a.k.a., ASICs, this includes Meta, Microsoft and Google, to name three. In this episode .... - Read more from Inside HPC & AI News.

Interesting take on networks in HPC… one thing it doesn’t discuss, and I think we need to be talking about more, is knowing where your data is and scheduling accordingly. Data locality at a continent, region, zone, rack and node level needs to be exposed and available for use in compute scheduling decisions in the future.

AI’s Data Hunger: How HPC Ethernet Networks Can Avoid Costly Bloat and Bottlenecks
High-performance computing (HPC) Ethernet networks are designed to facilitate fast communication between computing nodes, minimizing latency and maximizing bandwidth to ensure rapid, reliable data transfers. Although data transmission rates have […]

From HMx Labs

Laptops running faster than 120 CPU servers? Only in HPC 😁

HPC Needs to Get Smarter
HPC as an end user really hasn’t improved much over the years. The user experience still forces you to become an expert in HPC rather than your chosen domain. Time to fix that?

Tackling that broad niche problem in HPC and visualising skills

HPC Expertise Graph
HPC is a broad niche, so much so in fact there are parts of it that may seem completely alien. So how do we communicate which parts of HPC we know about?

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