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
Our mission
We research persistent agents and publish open source recipes for serving GLM-5.3 on RTX PRO 6000 GPUs.
Memory, identity & model orchestration
Open source · Apache-2.0
Serve GLM-5.3 on RTX PRO 6000 GPUs with TensorFold.
./start.shbuilds, downloads and serves.
EXL3Recipe 1.1.0TensorFold v0.6.6
EXL3Recipe 1.2.0TensorFold v0.6.6
EXL3Recipe 1.1.0TensorFold v0.6.6
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 toward Proto-AGI through memory, autonomy and model orchestration. We also incubate AI projects.
Task and workflow benchmarks
We test memory, tool use and reasoning in Hermes, with and without Protagine.
Special purpose vehicles for investment in HPC infrastructure.
We help infrastructure investors gain priority access to compute infrastructure allocations.
From the lab
Proto AGI Engine
A harness for memory, autonomy and coordinated model roles. Built for Hermes.
In development

Our research into voice, vision, embodiment and out-of-model-weights recursive learning.
View A.E.V.A.Health technology
We incubated the AI research behind HealthForge, a personal health app.
Visit HealthForgeSelected work
We have supported several deployments across Central America and the United States.
About Aevonix Research
The team, our work