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FC 27 Season 2 Coins Guid...
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consumer accelerators wor...
Forum: CPUs / NPUs / Accelerators
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structured output failure...
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CUDA update broke my thro...
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70B still worth the pain
Forum: Proprietary / Frontier
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10-19-2026, 05:58 AM
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context size vs speed in ...
Forum: llama.cpp / GGUF
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10-19-2026, 05:58 AM
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do small edge boxes make ...
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8B vs 14B sweet spot: any...
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10-19-2026, 05:57 AM
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| dual GPU split inference |
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Posted by: vrambandit - 10-14-2026, 11:10 AM - Forum: GPUs
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This keeps coming up in conversation so I figured I'd start a thread.
One thing I keep noticing is that people underestimate HBM constraints until they actually try to run this stuff for more than one afternoon.
Curious whether that lines up with what other people are seeing.
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| desktop apps around local AI |
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Posted by: rocmriley - 10-14-2026, 11:02 AM - Forum: Local
- Replies (2)
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This keeps coming up in conversation so I figured I'd start a thread.
The more I work with local setups, the more it seems like prefix caching decides everything downstream.
Maybe obvious to some of you, but it clicked for me this week.
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| desktop apps around local AI for DeepSeek |
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Posted by: vectorport - 10-14-2026, 10:05 AM - Forum: Local
- Replies (8)
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Spent some time on this today and wanted to compare notes.
Two paths both seem viable, but they break down differently once consumer GPUs becomes important.
What would you pick if you had to live with it for a few months?
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| framework overhead in real deployments |
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Posted by: batchsize - 10-14-2026, 09:36 AM - Forum: PyTorch / JAX / Other Frameworks
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This keeps coming up in conversation so I figured I'd start a thread.
It feels like the conversation has shifted hard toward inference and serving details lately, and honestly that makes sense once you start dealing with VRAM headroom.
Wondering if this is just where the whole space is heading now.
For context, I'm not chasing leaderboard numbers. I mostly want the system to feel consistent day to day.
I expected the biggest difference to come from the model, but the stack around it mattered at least as much.
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| DeepSeek V4.1 impressions |
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Posted by: routecraft - 10-14-2026, 09:25 AM - Forum: Workflows / Automation
- Replies (11)
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Wanted to compare notes with people doing similar things.
I'm trying to decide whether to keep the current stack or change course. Main question is how people here are handling reranking.
If you've tested something similar, what did you keep and what did you stop bothering with?
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| where reranking mattered on mini PC |
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Posted by: orbitgarden - 10-14-2026, 08:43 AM - Forum: RAG
- Replies (14)
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Posting this in case it saves someone else a little time.
I'm helping a small team set up a local workflow. We don't need a giant stack, but we do care about INT4.
Would rather learn from your scars than collect my own all at once.
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| Jetson still a thing |
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Posted by: batchfield55 - 10-14-2026, 06:49 AM - Forum: SBCs / Mini PCs
- Replies (13)
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Thought I'd post a small recipe because a lot of threads ask similar things.
This isn't revolutionary, but the combination of LM Studio and Threadripper box felt surprisingly usable once I tuned around VRAM headroom.
Feel free to tear it apart if you see something dumb.
This is mostly for local work rather than public serving.
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| simple local serving recipe |
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Posted by: rocmriley - 10-14-2026, 06:25 AM - Forum: Local
- Replies (5)
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Curious what people here are seeing.
I'm trying to decide whether to keep the current stack or change course. Main question is how people here are handling MoE serving.
Would appreciate practical advice rather than theory.
This is mostly for local work rather than public serving.
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| 8B vs 14B sweet spot with PyTorch |
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Posted by: routeforge64 - 10-14-2026, 05:13 AM - Forum: Proprietary / Frontier
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Has anyone else run into this?
I'm trying to decide whether to keep the current stack or change course. Main question is how people here are handling INT4.
Not looking for the perfect answer, mostly what worked in real use.
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