OWS provides a globally distributed cloud platform that aggregates GPU, CPU, bare‑metal, and managed Kubernetes resources into a single provisioning interface. It offers dedicated low‑latency IPv4 connectivity with optional customer‑owned IP, enabling enterprises and developers to scale workloads across 62 edge regions using subscription or pay‑as‑you‑go billing. The service includes API‑driven automation, real‑time monitoring, and built‑in security controls.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises and developers often face fragmented cloud services that lack high‑performance GPU compute, low‑latency networking, and the ability to retain their own IP addresses, leading to costly over‑provisioning and limited control over global traffic routing.
Solution
OWS delivers an automated, globally distributed cloud platform that aggregates a wide spectrum of compute resources—including NVIDIA GPU instances, virtual CPUs, bare‑metal servers, and managed Kubernetes clusters—into a single provisioning interface. The network layer provides dedicated IPv4 connectivity with zero‑latency paths and optional customer‑owned IP migration, eliminating NAT overhead for latency‑sensitive applications. Users can select between subscription‑based reserved capacity or pay‑as‑you‑go usage, enabling precise cost control while scaling across 62 edge regions. All services are exposed via RESTful APIs and a web dashboard that supports real‑time monitoring, automated scaling, and integration with existing CI/CD pipelines. Security and compliance are built in with role‑based access control, encrypted data transit, and 24/7 dual‑language support.
Target Audience
The platform targets enterprise IT teams, AI/ML developers, gaming studios, fintech firms, and SaaS providers that require high‑performance compute, ultra‑low latency networking, and granular control over IP addressing at scale.
Features
- NVIDIA A100/A40 GPU instances with up to 80 GB VRAM, provisioned on demand via API or portal
- Virtual CPU (vCPU) families ranging from standard to high‑frequency, with auto‑scaling groups for burst workloads
- Bare‑metal servers offering multiple architectures (x86, ARM) and direct PCIe access for latency‑critical workloads
- Fully managed Kubernetes service with integrated CNI, auto‑healing nodes, and support for Helm charts
- Dedicated low‑latency IPv4 backbone (core bandwidth > 6 Tbps) with optional native IP (no NAT) and customer‑owned IP migration
- Global edge footprint: 62 regions, 200+ intelligent computing centers, 500 + Gbps inter‑region links
- Flexible billing models: subscription plans for steady workloads and per‑second pay‑as‑you‑go for variable demand
- Comprehensive monitoring and alerting via web dashboard, including real‑time metrics, usage analytics, and SLA reporting