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Patrick Hughes5d ago • 5 min read
49W Average Hid a 338W Burst on Gemma 26B
Gemma 4 26B Q4_K_M averaged 49 W on a long RTX 5090 run and peaked at 338 W. Keep both watt numbers ...
#localllm#gguf#ollama#rtx5090
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Patrick HughesAug 24, 2026 • 4 min read
Why a Failed Local LLM Benchmark Row Still Matters
A failed local LLM row marks the test boundary. My RTX 5090 report shows why quality, speed, and set...
#localllm#modelevaluation#ollama#rtx5090
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Patrick Hughes5d ago • 5 min read
Preflight Local AI Before You Benchmark a Model
My local AI test stopped before model load because the runtime could not build. This preflight keeps...
#localai#localllm#inference#rtx5090
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Patrick Hughes3d ago • 5 min read
Your Benchmark Row Never Saved the Driver Version
I audited seven RTX 5090 benchmark files on 2026-08-27. Not one records the GPU driver version. Here...
#localai#localllm#benchmarking#rtx5090
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Patrick Hughes3d ago • 5 min read
Your Local LLM CSV Needs a Schema Version
I audited seven RTX 5090 benchmark CSVs and found four header widths, three power schemas, and no sc...
#localai#localllm#benchmarking#rtx5090
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Patrick Hughes6d ago • 5 min read
How to Calculate Local LLM Energy per Token
My RTX 5090 test shows how watts and output rate become joules per token, and why the faster of two ...
#localllm#modelevaluation#ollama#rtx5090
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Patrick Hughes2d ago • 5 min read
A 32 GB GPU Still Needs Host RAM Headroom
My RTX 5090 had 32 GB of VRAM ready, but my local policy stopped Ollama at 7.02 GiB of free host RAM...
#localai#localllm#ollama#rtx5090
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