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consumer accelerators wor...
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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
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context size vs speed in ...
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do small edge boxes make ...
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8B vs 14B sweet spot: any...
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| best setup on 24GB VRAM: setup advice |
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Posted by: vrambandit - 09-24-2026, 11:32 PM - Forum: Hosted
- Replies (6)
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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.
Curious whether that lines up with what other people are seeing.
My use case is pretty ordinary: local chat, some document work, and occasional batch jobs.
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| desktop apps around local AI |
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Posted by: mlxgarden - 09-24-2026, 10:25 PM - Forum: Local
- Replies (2)
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Did a bit of testing and thought I'd post the result here.
Short version: SGLang behaved well for me, but only after I stopped ignoring structured output.
Nothing scientific here, just practical notes from a real setup.
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| embedding drift issues: worth it? |
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Posted by: torchstation - 09-24-2026, 09:26 PM - Forum: Dataset Creation / Curation
- Replies (11)
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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 router policy.
Wondering if this is just where the whole space is heading now.
My use case is pretty ordinary: local chat, some document work, and occasional batch jobs.
If I had to summarize the lesson so far, it would be that clean setup and observability beat clever guesses.
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| prefill bottlenecks on longer prompts on A6000 |
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Posted by: northquill - 09-24-2026, 07:56 PM - Forum: Other Engines
- Replies (12)
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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 HBM constraints decides everything downstream.
Wondering if this is just where the whole space is heading now.
I care more about stability than squeezing the last possible tokens/sec out of it.
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| QLoRA resource reality check on Threadripper box |
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Posted by: turboyard94 - 09-24-2026, 07:45 PM - Forum: Benchmarks
- Replies (10)
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Posting this in case it saves someone else a little time.
I'm not trying to build a perfect architecture diagram. I just want a sane starting point around SGLang and A6000.
Simple and boring is a valid answer.
For context, I'm not chasing leaderboard numbers. I mostly want the system to feel consistent day to day.
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| TensorRT-LLM worth the setup time |
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Posted by: syshouse - 09-24-2026, 06:00 PM - Forum: TensorRT-LLM
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Posting this in case it saves someone else a little time.
If you were starting from scratch today for this use case, what would you choose first and what would you ignore?
Simple and boring is a valid answer.
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| eval setup for local models on M3 Max |
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Posted by: griffinloom66 - 09-24-2026, 05:37 PM - Forum: Benchmarks
- Replies (1)
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Spent some time on this today and wanted to compare notes.
I'm comparing two approaches here: keep it simple on 5090, or squeeze more out of the stack and deal with the complexity.
Trying to avoid rebuilding the whole thing twice.
This is mostly for local work rather than public serving.
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| vLLM vs SGLang for small teams |
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Posted by: amberrunner - 09-24-2026, 04:50 PM - Forum: vLLM / SGLang
- Replies (15)
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Did a bit of testing and thought I'd post the result here.
Short version: SGLang behaved well for me, but only after I stopped ignoring NVFP4.
Nothing scientific here, just practical notes from a real setup.
I care more about stability than squeezing the last possible tokens/sec out of it.
If I had to summarize the lesson so far, it would be that clean setup and observability beat clever guesses.
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