Overview & Capability
Deploy Docker containers and full-stack AI web applications physically close to users around the globe. Runs on physical bare-metal servers using lightweight Firecracker microVMs and GPU acceleration.
Key Highlights
- Fast Firecracker microVM startup times across 35+ global regions
- Direct attached NVMe volumes and persistent SQLite / Postgres replication
- On-demand GPU instances for running custom PyTorch and Ollama workloads
Robbie's Independent Take
Verified: 2026-10-11
Excellent candidate for local execution with zero cloud lock-in. For 7B-8B parameter models, budget at least 8 GB of unified memory or VRAM (Q4_K_M quantization). For 32B-70B models, aim for 24 GB+ to maintain interactive throughput without CPU offload penalties.
Alternatives & Replaces
- Heavy, slow-to-boot traditional virtual machine fleets