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Our mission

Open Access to Super Intelligence and the hardware that runs it

We research persistent agents and publish open source recipes for serving GLM-5.3 on RTX PRO 6000 GPUs.

Memory, identity & model orchestration

Aevonix ResearchResearch lab Model recipes

Open source · Apache-2.0

Model recipes.

Serve GLM-5.3 on RTX PRO 6000 GPUs with TensorFold.

./start.shbuilds, downloads and serves.

4x RTX PRO 6000

Full GLM-5.3

EXL3Recipe 1.1.0TensorFold v0.6.6

Prose, single stream
92 tok/s
Prose, 5 streams
140 tok/s
Structured output, 5 streams
195 tok/s
Prefill, up to
2,081 tok/s
  • Up to 5 concurrent requests
  • 1M context
View on GitHub
4x RTX PRO 6000

GLM-5.3-Flash

EXL3Recipe 1.2.0TensorFold v0.6.6

Prose, single stream
266 tok/s
Prose, 16 streams
1,087 tok/s
Structured output, 16 streams
2,054 tok/s
Prefill, up to
9,135 tok/s
  • Up to 40 concurrent requests
  • 1M context
View on GitHub
2x RTX PRO 6000

GLM-5.3-Flash

EXL3Recipe 1.1.0TensorFold v0.6.6

Prose, single stream
238 tok/s
Prose, 4 streams
449 tok/s
Structured output, 4 streams
651 tok/s
Prefill, up to
6,908 tok/s
  • Up to 4 concurrent requests
  • 512K context
View on GitHub

Measured with sparkDash, greedy, at 250 W per GPU. TensorFold by Ash Hart. Built in collaboration with Mia's AI Lab (EXL3 checkpoints and base patches).

What we do

Research & infrastructure.

From the lab

Projects.

By request · Ongoing research

Protagine

Proto AGI Engine

A harness for memory, autonomy and coordinated model roles. Built for Hermes.

In development

A.E.V.A.

A.E.V.A. profile portrait

Our research into voice, vision, embodiment and out-of-model-weights recursive learning.

View A.E.V.A.

Health technology

HealthForge

We incubated the AI research behind HealthForge, a personal health app.

Visit HealthForge

Selected work

NVIDIA B300 deployments.

We have supported several deployments across Central America and the United States.

More about our work