Distributed GPU Compute Across Devices in C# on browser and desktop

Coming VERY Soon: Distributed GPU Compute Across Devices The SpawnDev.WebTorrent P2P network we're building creates a natural foundation for distributed GPU compute. Every connected device exchanges data over WebRTC — extending this to share compute workloads is the next step: SpawnDev.ILGPU AcceleratorType.P2P — 7th Backend — Distributes kernels across connected devices transparently. Same C# kernel code, same LoadAutoGroupedStreamKernel API . The developer writes one kernel, it runs on 1 GPU or 10 GPUs across a household. SpawnDev.ILGPU.ML Model inference sharding — Split a 14B model across multiple devices. Each runs inference on their portion via SpawnDev.ILGPU, passes intermediate tensors to the next peer. A model that doesn't fit on one device runs across your phone, laptop, tablet, and desktop. Volunteer compute pools — Users opt in to donate idle GPU time. Like Folding@Home for ML inference in the browser. Every device in your home contributing to one shared AI compute pool — p