AETHERIONBeyond the known. Get Aetherion

Your machine.Your models.Your evidence.

Find out what your hardware can really do. Compare local AI models on speed, latency and task validation — before you commit to one.

Get the Windows client Explore the benchmarks

Local inference. Ollama & GGUF support.

Aetherion StudioWindows client
Aetherion Studio Workspace: six real local models and detected hardware

Implemented client · real hardware and local models

Built for local inference
OllamaGGUFHardware profilingJSON reports

Stop guessing.
Start measuring.

Choosing a model starts with the machine it will run on. Aetherion puts the hardware, the workload and the results in one place.

See the full workflow

  1. Know your hardware

    Check CPU, memory and available GPU acceleration before selecting a model.

  2. Choose the workload

    Discover your local models and pick the task you actually need them to handle.

  3. Read the evidence

    Review latency, throughput and validation together. Keep the report for your next comparison.

Real tasks.
Visible criteria.

A fast answer is only part of the story. Explore the five task categories and see what each check looks for.

General / DNS explanationTask preview

Prompt

Explain DNS in exactly two short sentences.

Sentence-count check

The validator checks for two sentence segments. It does not judge factual accuracy.

Time to first tokenTokens / secondValidation

No model runs on this page. Your measurements are generated in the local client.

These are focused output checks, not a complete measure of model quality. Compare runs with the same task and settings.

The next benchmark
is yours.

Bring the studio to your machine. Discover your models, run a workload and keep the results.

Download for Windows Setup & resources

Windows executable · Qt 6 desktop · 52.6 MB

An Aetherion account and active license are required. Configure Ollama or a compatible GGUF runtime to run models.

A little more clarity.

Does the benchmark run in my browser?

No. The website explains the workflow; the Windows client runs the benchmark against your configured model runtime.

Which models can I benchmark?

The Windows download runs installed models served by Ollama. GGUF requires a source installation with llama-cpp-python, or a build that bundles that runtime. Model availability and memory requirements depend on your setup.

What should I compare in a report?

Read time to first token, tokens per second and task validation together. Use the same task, model settings and hardware conditions for a useful comparison.

Do I need an account or internet access?

The client requires an Aetherion account and active license. Model inference can run locally; account sign-in and license verification use the account service.

What are you
building?

Tell us about your hardware and workload. We can start with the right questions.

dayvermoreta21@gmail.com

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