Vierla
company
AI & ML interests
AI research & development: efficient inference & GPU memory tiering, training efficiency & optimizers, 3D vision & Gaussian splatting, agent infrastructure
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Vierla
Independent AI research & development, from training efficiency to running large models on the hardware people actually own.
Research areas
- Efficient inference: GPU memory tiering (VRAM → system RAM → disk), CUDA VMM, 70B+ models on consumer GPUs
- Training efficiency: optimizers and speedruns (Muon, modded-nanogpt)
- 3D & vision: Gaussian splatting, optimal-transport morphs, vision foundation models
- Agent infrastructure: MCP tooling, local control planes for coding agents
Models, datasets, and demos will be published here as they're ready.
🌐 vierla.com · 🧑💻 AmeerJ97 on GitHub
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