Compute with Hivenet is a GPU cloud computing service that provides on-demand access to modern GPUs for artificial intelligence, machine learning, deep learning, rendering, and scientific modeling. Delivered through Hivenet’s distributed cloud platform, it replaces traditional data centers with a global network of devices, making GPU computing more cost-efficient and sustainable. Hivenet’s Compute is designed for developers, researchers, and businesses who need reliable GPU performance without vendor lock-in or long-term contracts. Users can launch workloads on RTX 4090 and 5090 GPUs, which in many benchmarks deliver faster performance at lower cost than A100-based GPU clouds. Pricing is based on per-second billing through prepaid credits, ensuring transparent and predictable costs. The platform includes ready-to-use templates for quick deployment, custom templates for specific needs, and stop/start controls that allow workloads to be paused and resumed without extra fees. An auto top-up feature keeps jobs running smoothly by automatically replenishing credits. Hivenet’s distributed infrastructure also supports sustainable cloud computing. By using underutilized capacity across devices worldwide, rather than building centralized data centers, the platform lowers energy demand and environmental impact while still delivering enterprise-grade GPU power. Main features and benefits include: On-demand GPU access: Run workloads on RTX 4090 and 5090 GPUs for AI, ML, rendering, and research. Transparent billing model: Per-second billing with prepaid credits, no hidden fees or contracts. Flexible workload management: Pause, stop, and resume workloads at any time. Deployment options: Ready-made and custom templates for faster setup. Sustainable infrastructure: Distributed cloud reduces reliance on data centers. Compute with Hivenet is suitable for startups, enterprises, and research teams who need high-performance GPU cloud services at a lower cost. It offers a practical and sustainable alternative to conventional GPU cloud providers.