AppZed AI is a next-generation AI compute orchestration and serverless model hosting startup built on top of the world's leading hardware and cloud vendors.
We aggregate global GPU clusters, wafer-scale supercomputers, and on-device SLMs into a unified, cost-arbitraged serverless hosting fabric. Deploy open-source and frontier models in seconds with automatic spot price arbitrage and sub-50ms inference routing.
Real-time token pricing, hardware throughput, and benchmark telemetry across multi-vendor GPU clouds and on-device runtimes.
Technical blueprints for multi-vendor GPU hosting, spot capacity routing, and on-device CoreML/AICore deployment.
Deep-dive into how AppZed orchestrates serverless vLLM and TensorRT-LLM container instances across global GPU clouds and edge devices.
Read BlueprintArchitect autonomous multi-turn tool-calling loops in React Native, Flutter, and native Swift with on-device execution.
Read GuideDetailed NPU memory consumption, bridge latency, and WebGPU inference benchmarks for cross-platform mobile apps.
Read GuideCommon questions about AppZed's multi-vendor AI hosting, GPU spot routing, and serverless compute.
AppZed AI is a next-generation AI compute orchestration and serverless model hosting startup built on top of the world's leading hardware and cloud vendors (AWS, Azure, GCP, CoreWeave, Lambda, Cerebras, Groq, and on-device SLMs).
Democratize access to frontier AI compute by aggregating global GPU clusters, wafer-scale engines, and on-device SLMs into a unified, cost-arbitraged serverless hosting fabric with zero vendor lock-in.
AppZed routes routine, lightweight tasks locally to Apple Neural Engine (CoreML) or Android AICore for $0.00 cloud compute cost, only forwarding heavy reasoning or high-volume agent loops to our multi-cloud GPU instances.