Cache Wave provides an edge‑focused CDN that combines media caching with serverless compute, using AI to place assets and workloads optimally across distributed edge nodes. This lets developers deploy interactive games, AR/VR experiences, and AI inference models close to users, reducing latency and bandwidth costs.
Funding
Funding not disclosed
Founders
Product
Problem
Delivering interactive media, gaming, AR/VR, and AI inference workloads at low latency requires extensive infrastructure and incurs high bandwidth and compute costs, especially when content must travel from centralized servers to end users.
Solution
Cache Wave offers an edge‑focused content delivery network that integrates media caching with on‑edge compute resources. Its AI‑driven platform automatically determines optimal placement of assets and compute tasks across a distributed edge network, minimizing data travel distance and reducing operational expenses. Developers can deploy interactive applications, game assets, AR/VR experiences, and AI inference models directly at edge locations, achieving faster response times and smoother user experiences without managing separate caching and compute layers.
Target Audience
Primary customers are developers and product teams building low‑latency interactive media, online gaming platforms, AR/VR applications, and AI inference services that require edge deployment.
Features
- Combined media caching and serverless compute nodes positioned at edge locations
- AI‑based placement engine that continuously optimizes asset distribution and workload routing
- Support for real‑time interactive media, game streaming, AR/VR content, and AI inference workloads
- Unified API for deploying and managing edge functions alongside cached assets
- Automatic scaling and cost‑optimization based on traffic patterns and latency requirements