IO.NET vs Omega Gradient

Access to 300,000+ verified GPUs from 139 countries with 6,000+ cluster-ready GPUs

Deploy clusters in under 90 seconds with auto-scaling capabilities

Choose from containers, Ray clusters, or bare metal based on workload needs

Uses the same distributed computing framework that OpenAI used to train GPT-3

AI models, smart agents, and API integration for workflow automation

Kernel-level VPN with secure mesh protocols for data protection

Catalog of GPU listings from multiple suppliers, deployable as containers, VMs, or bare metal, with per-listing region, fabric (PCIe, SXM, NVLink), and boot-time details

Request-based sourcing for reserved capacity, matching workload requirements against a tracked supplier network with responses targeted within 24 hours

Monitors suppliers and public price sources across regions, publishing a cloud GPU price index and supplier pricing reports for benchmarking before commitment

Listings show a single all-in hourly price with per-GPU breakdowns; billing is prepaid from credits and accrues per hour only while an instance exists

Sources capacity from many independent suppliers rather than operating its own data centers, comparing options across price, region, and hardware configuration