Build, scale, and run modern workloads with cloud infrastructure optimized for the edge.
Store large data reliably at scale with S3-compatible object storage, ideal for media origins, backups, and datasets. Delivering superior performance compared to FS-based solutions.
Run high-performance applications on dedicated CPUs, which are ideal for resource-intensive use cases.
Combine guaranteed compute power with high network throughput for heavy applications.
Deploy, scale, and manage containers with our Kubernetes engine — optimized for edge workloads, fast rollouts, and to help cut your egress fees.
Real-time detailed log streaming enables instant visibility into traffic patterns, performance metrics, and security events. Hydrolix compatible.
Access real-time analytics and operational insights through a unified API that transforms raw log data into actionable metrics.
Monitor and analyze high-volume log streams in real-time with our cloud-native observability platform. Ingest data, run ETL, and take advantage of actionable dashboards — all in one place.
Deploy custom functions across our globally distributed edge network, allowing for execution closer to end users.
Access GPU-accelerated infrastructure for AI/ML workloads, training models, inferencing, or processing large datasets at the edge.
We've built a robust global network with a 28 Tbps internal backbone and 230 Tbps total capacity, bolstered by hundreds of ISP-embedded caches and strategically placed Points of Presence.