> booting hypervisor... OK > syncing model weights... done (43.2GB) > initializing node cluster [ws-23]... online > deploying agentic runtime... complete > user: tom-boyleBuilding distributed intelligence at the edge.
No frameworks, no boilerplate — just systems that run fast.
- Languages: TypeScript • Rust • Python • CUDA
- Infra: WSL2 • Docker • Pulumi • Vast.ai • Vercel • Warp
- ML: PyTorch • JAX • ONNX • RAG • Agentic runtimes
- Editor: Neovim — no mouse.
- 🔥 Building agentic compute infrastructure — GPUs spun up in seconds, globally distributed, optimized for inference-heavy workloads.
- 🧠 Architecting runtime layers for LLMs that plan, act, and adapt.
- 🛰️ Experimenting with edge intelligence: low-latency model execution near sensors.
AI GPU infrastructure for developers who don’t wait.
- Sub-minute H100 provisioning
- Transparent per-minute billing
- Distributed orchestration with Pulumi
Custom agentic runtime — zero frameworks, built for real-time decision systems.
- Structured memory
- Tool use
- Event-driven orchestration



