RTX 3090: efficiency and throughput in local inference
Tests reported on May 9, 2026 compared a 27-billion-parameter model on an RTX 3090, varying concurrency and power limits.
Source: Testes de eficiência de LLM na RTX 3090 com diferentes limites de potência (x.com). Text prepared with AI from this source.
What happened and what to do
On May 9, 2026, an author reported tests of a 27-billion-parameter model on an RTX 3090, with concurrency levels of 1, 4, 8, and 16. According to the reported results, a 225 W limit had the best efficiency, while 250 W delivered higher throughput.
A company running local inference can test power limits and concurrency levels against its own workload, recording energy use, throughput, and latency. A monitoring pipeline and comparison dashboard can help identify suitable settings for each service and track performance changes.
How the consultancy can help
Wendelmaques can assess the inference workload and infrastructure, define a testing scope, and implement monitoring, dashboards, and operational adjustments to evaluate efficiency and throughput.
Next step
Send a short description of your infrastructure and inference workload to receive a scoped proposal.
Let's assess your project
I reply with scope and a proposal.