A single electron application. Pick any of them.

Low-latency information retrieval for heavy-read/low-write content sets.

An example that might solidify the idea: pack a Wikipedia snapshot into it for search, and serve ~1m queries per second on it (12k qps per core).

I worked on a tool that processes a large-ish dataset using only data structures in memory, since this is much faster and simpler than using a system like Spark for example. Not only that, the nature of the processing algorithm (a reduce, in effect) makes it kind of pointless to run on a cluster of nodes.

The dataset is 2-3B records with 5-12 64-bit values each, stored in a few dozen files using the Apache Arrow format. If we take the midpoint of this range that's 170 GB just with raw data. With the overhead of data structures, I was running the process with ~400 GiB of RAM and could have done more on a beefier machine.

It took about 20-30 minutes to run the full algorithm on these tens of billions of data points and this approach was perfect for this use case. No overhead of Spark and all of its dependencies, just one program, a bunch of input files, and it's done when I get back from lunch.

Microsoft Teams?

This is just hitting the market so it will be interesting to see where it goes.

If the vendors were ready for something like this on the software side, this would be great for edge compute when low latency response is required - remote utility substation handling and reacting to a large array of sensors feeding at 60 data points per second. In some use cases going to the control centre and back would be too slow to benefit. Basic grid control is well handled, but I could see optimizations benefiting from this. Vendors and utilities are way behind on this though.

With four times 10Ge, so many cores and memory I can imagine this is perfect for web hosting or virtual machines.

Oracle Cloud provides 4 Altra Cores, 24GB of RAM, and 200GB of storage for free (supposedly indefinitely). I use it for a Minecraft server. Handles ~15 players with a half-dozen plugins without players complaining about any lag. I only use 4GB of the RAM because Java's Garbage Collector - and Minecraft is heavily single-threaded so I'm probably not using all cores very effectively, but it's free and works.

Fastly has published their server specs:

2 Intel(R) Xeon(R) CPU E5-2690 @ 2.90GHz

768 GB of RAM (384 GB per Processor)

18 TB of SSD Storage (Intel 3 Series or Samsung 840 Pro Enterprise Series)

I'd throw some video encoding work at something like that. Easy enough to eat up all that ram and the cores.

I would use it for CI runners.

In my case, Houdini simulations for my vfx hobby ("only" 64 cores and 128gb RAM, though).

I think the target is low power consumption server applications.

Based on the spec and the form-factor I assume an oven.

might be nice in a render farm?

Minecraft servers? ;-)