[HN Gopher] (AMD) Build AI Agents That Run Locally
___________________________________________________________________
(AMD) Build AI Agents That Run Locally
Author : galaxyLogic
Score : 46 points
Date : 2026-04-13 19:28 UTC (3 hours ago)
(HTM) web link (amd-gaia.ai)
(TXT) w3m dump (amd-gaia.ai)
| galaxyLogic wrote:
| Not so clear from their page but from
|
| https://www.tipranks.com/news/amd-stock-slips-despite-a-majo...
|
| I read:
|
| " In addition to that, the update allows these agents to be
| turned into desktop apps for multiple operating systems. "
|
| This seems like a new way to create app: Create an (AI) app that
| creates apps.
| latchkey wrote:
| The stock is peaking highs again and people are quoting
| articles saying "stock slips"...
| Mars008 wrote:
| In case you are interested:
|
| Requirement Minimum
|
| Processor AMD Ryzen AI 300-series
| xrd wrote:
| I wanted to believe but anyone who has spent any time trying to
| run models locally knows this is not going to be solved by two
| lines of python running on rocm as the example shows.
| wilkystyle wrote:
| Curious to hear more. My experience is limited to llama.cpp on
| Apple silicon so far, but have been eyeing AMD ecosystem from
| afar.
| nevi-me wrote:
| Perhaps not a good example, I tried running local models a
| few times, to much disappointment (actually made me skeptical
| of LLMs in general for a while).
|
| My last experiment in January was trying to run a Qwen model
| locally (RTX 4080; 128GB RAM; 9950X3D). I must have been
| doing it extremely wrong because the models that I tried
| either hallucinated severely or got stuck in a loop. The
| funniest one was stuck in a "but wait, ..." loop.
|
| I fortunately had started experimenting with Claude, so I
| opted to pay Anthropic more money for tokens (work already
| covers the bill, this was for personal use).
|
| That whole experience + a noisy GPU, put me off the idea of
| running/building local agents.
| warwickmcintosh wrote:
| ROCm has improved but the reality is you're still fighting the
| driver stack more than the models. If you're actually doing local
| inference on AMD you're spending your time on CUDA compatibility
| layers, not the AI part. Two lines of python is marketing, the
| gap between demo and working AMD setup is still real.
___________________________________________________________________
(page generated 2026-04-13 23:00 UTC)