Topic
5090 Reports
45 posts on 5090 reports — guides and lab notes from real runs on hardware we own. New posts land here automatically. Start anywhere, or grab the copy-paste prompts that ship with them.
- 6 min read
Search Old Results Before Publishing an LLM Test
An independent QA pass caught my second post about the same Ollama batch sweep. Here is the duplicate check I now run before publishing an LLM result.
- 5 min read
Why I Test 3 Workloads Before Sizing a Local LLM
One local LLM speed number hides the work behind it. My RTX 5090 sweep shows why short generation, long context, and code need separate rates.
- 5 min read
Test Retrieval Before Your Local LLM Writes
I make my local LLM show its source plan before it writes. The preview gate catches weak retrieval while the fix is still cheap and easy to inspect.
- 5 min read
Why I Did Not Promote My Smaller Local Model
My smaller local model existed and ran, but it did not beat the baseline. Here is the promotion gate I use before changing a working local AI route.
- 6 min read
Build an AI Research Workbench on Your Own GPU
Claude Science keeps data on local systems but sends selected context to Claude. Here is the owned-GPU version, with measured RTX 5090 costs.
- 5 min read
Ollama num_batch: 256 Was My RTX 5090 Sweet Spot
I tested four Ollama settings on Gemma 4 26B. num_batch 256 delivered nearly all the speed of 512 while using less power on my RTX 5090.
- 5 min read
A 7 GB 27B Model Lost to My 17 GB Default
A 6.66 GiB ternary 27B model fit my RTX 5090, but it lost the default slot. File size is only the first local model-selection gate.
- 6 min read
Your Agent's Audit Trail Cannot Be Retrofitted
Agent logs show activity. They do not prove the outcome an agent claimed. Here is the verification layer I added after an agent reported two false dones.
- 6 min read
My Agents Have to Prove What They Did
I extracted the claims ledger that runs my agent operation into showwork. Falsifiable claims, deterministic checks, and an exit gate that refuses a false done.
- 5 min read
Ollama Raised $65M. What Builders Get
Ollama's $65M round and 8.9 million developers make local AI a funded product category. Here is what changes for builders on owned GPUs.
- 5 min read
Why production AI is moving to open weights
I tested a local-first writing pipeline on an RTX 5090. Gemma 4 writes the draft, deterministic checks catch errors, and frontier QA decides what ships.
- 5 min read
Q4km vs Q5km: Q4_K_M vs Q5_K_M
q4km vs q5km is Q4_K_M vs Q5_K_M in GGUF. Pick by VRAM headroom, quality risk, and CPU fallback. Use the free quant tool before download.
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