WeSearch

Ask HN: Thoughts on AMD Ryzen AI MAX+ 395 for Local AI?

·1 min read · 0 reactions · 0 comments · 6 views
#thoughts#ryzen#local
TL;DR · WeSearch summary

Own a framework desktop 128gb.GPU bandwidth limits the amount of tokens/sec that you get.I 've mostly been running QWEN-3.6-35B-A3B at Q8 and QWEN-3.5-122B-A10B at Q4 with Q8 kv-cache on llama.cpp (use vulkan version). Unless you have explicit needs for it (whether it is just experimentation or you have personal things you 'd rather keep on your computers or w/e).

Key facts
How this story was covered

2 outlets in our directory ran this story, first to last over 5 hours. All of the coverage we found sits in one bucket: centre. That one-sidedness is itself worth noticing.

Centre · 1
About this source

Hacker News (AI / LLM) files mainly under ai. We currently carry 2,752 of its stories.

Original article
Ycombinator
Read full at Ycombinator →

Story provenance

Source · retrieval · rights · ranking — open for full record
inspect →

Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.

Record

Original publisherYcombinator
Canonical URLhttps://news.ycombinator.com/item?id=49081599
Publication timeTue, 28 Jul 2026 09:53:38 +0000
Retrieval time2026-07-28T09:59:34.068Z
Last seen2026-07-28T09:59:36.605Z
Headline sourcePublisher (no WeSearch rewrite)
Excerpt sourcepublisher body
Excerpt methodFirst ~120 words (~800 chars) of extracted publisher body, fair-use limited.
SummaryWeSearch · cerebras-chat (WeSearch summarizer)
Summary source textcontentText
Citation coverageSummary is a WeSearch-generated derivative; primary citation is the original publisher URL.
Cluster1dNgIjo_J_LL · 2 stories
Cluster logicGrouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison.
Ranking reasonStory pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking.
Publisher visitYes — open original
Substitutes article?No — link-out required for full text

Rights status (four layers)

Publisher-declared
No publisher-confirmed rights record for this source yet.
Machine-readable
No source-specific machine-readable restriction detected beyond the public feed.
WeSearch interpretation
WeSearch declared handling (basis: Derived from the published RSS/Atom feed). This is WeSearch policy, not a legal grant on the publisher's behalf.
Unknown
Retrieval and training permissions are not asserted unless the publisher confirms them.

WeSearch handling by dimension

Indexing May the item be indexed (stored, ranked, made findable)? Allowed
Snippet May a short excerpt of the publisher's text be shown? Allowed
AI summary May WeSearch generate its own short summary of the article? Limited
Retrieval / RAG May the content be exposed for third-party retrieval-augmented generation? Not asserted
Model training May the content be used to train AI models? Not asserted
Commercial reuse May the content be reused commercially? Not permitted

Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.

Opening excerpt (first ~120 words) tap to expand

Own a framework desktop 128gb.GPU bandwidth limits the amount of tokens/sec that you get.I 've mostly been running QWEN-3.6-35B-A3B at Q8 and QWEN-3.5-122B-A10B at Q4 with Q8 kv-cache on llama.cpp (use vulkan version). Also use MTP GGUF's you get ~ 50% speed up when predicting 2 or 3 tokens.Haven't tested the new laguna S 2.1 yet.Another thing I liked was that I had enough ram to also run an embedding open model for LLM Wiki apps.Overall I think it's cheaper and better (intelligence wise) to get a $20 codex sub and always run gpt-5.6-luna than getting a desktop for local inference. Unless you have explicit needs for it (whether it is just experimentation or you have personal things you 'd rather keep on your computers or w/e). OpenCode go at $10 is also a great option.

Excerpt limited to ~120 words for fair-use compliance. The full article is at Ycombinator.

Anonymous · no account needed
Share 𝕏 Facebook Reddit LinkedIn Threads WhatsApp Bluesky Mastodon Email

Discussion

0 comments

More from Ycombinator