what I read in I think the direct AMD press, it's essentially like a 10% upgrade to compute but mostly ram.

I agree, this is the direction AMD was going in to larger attached memory and they got hit by the memory cartel pricing; They likely were going to hit 256GB instead of this weird glitch in the sizing.

So, yes, of course they're going to hit higher memory sizes; but since they models are meant for laptops and to get the speed you want for inference, they're soldered, you have no real options.

Framework in particular might have a high value on ebay as I assume this will be a drop in replacement for their existing motherboard.

On RAM supplies, the best estimates I've seen are https://www.tomshardware.com/pc-components/dram/cxmt-close-t...

They are estimating a 25% shortfall in supply remaining in 2030, even with Chinese companies ramping up DDR5 supply.

It's not looking great - the RAM producers need more of the same machines that other semi-conductor manufactures need and the suppliers of those seem unable to increase production.

Try poolside that came out yesterday https://news.ycombinator.com/item?id=49004937

or Qwen 3.5 122B A10B, both use more memory and still have experts sized for decent speed at the 395’s memory bandwidth at 4bit quantization

I use exactly the setup you describe; it can handle 1-3 agents working if the agent work has IO delays. with MTP models, prefill is quite fast.

Not sure what damage you have, but no one waits 40 minutes per prompt or even a minute; The A3B model loads within 10 seconds and a simple response in opencode is maybe at most a minute, then catches up in 3-5second bursts depending on IO.

I put dynamic context pruning into opencode and tweaked it for 45k-85k context before it shrinks; this lets me get into 500k token sizes and fixed on medium sized github repos.

There's a chance this comment is a skill error:

1. USe llamacpp with a MTP model

2. Use reasoning-budget and reasoning-message

3. Tailor your agent to use the reasoning-message to use subagents and dyanmic compaction.

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Now you have a reasonable coding agent for cloning, building and extending any github project I've seen so far.

If you have to ask you don’t want to know

What’s stopping you from building that yourself instead of having to go through Framework?

Framework is going for a computer OEM market where they need to make margin, hence the soldered-on components and relatively limited options. People in the pre-built computer market overwhelmingly don't care about replaceable components, because anyone else will just buy components and build a PC, for both the greater market of options AND overall lower price than buying pre-built (if they don't overspec).

More numbers and letters and phrases = more excite! much customer!