How to compare MTP inference on older GPUs
A May 16, 2026 publication reports llama.cpp throughput benchmarks with MTP for Qwen 3.6 models on three GTX 1080 Ti GPUs and describes a setup that can inform internal testing.
Source: Benchmarks de inferência MTP em três GPUs GTX 1080 Ti (x.com). Text prepared with AI from this source.
What happened and what to do
On May 16, 2026, a publication presented llama.cpp throughput benchmarks with MTP for Qwen 3.6 models on three GTX 1080 Ti GPUs. The reported setup uses a Q4_0 K/V cache and draft-MTP flags, and includes context sizes and token rates. The case shows how a specific configuration can serve as a reference for comparing inference on older GPUs.
A company can implement a reproducible benchmark on its own infrastructure, recording the model, parameters, context, resource use, and token rate. A pipeline can automate runs and consolidate results in a dashboard, making it easier to compare configurations and equipment before deciding on adjustments or investments. The appropriate work is engineering and measurement; there is no need to introduce AI where AI is already being evaluated.
How the consultancy can help
Wendelmaques can assess the infrastructure and comparison criteria, define a benchmark scope, and implement data collection, automation, and result visualization, as well as support ongoing operation.
Next step
Send a short description of your models, GPUs, and testing goals to receive a proposal with a defined scope.
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