Kinesis Network is a decentralized compute platform that aggregates idle computing resources into a managed, serverless service for enterprises, academic institutions, and AI startups. Users pay only for the CPU and GPU time consumed, eliminating manual infrastructure management and reducing operational costs.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises, academic institutions, and AI startups often face challenges in managing and scaling their computing infrastructure, leading to increased operational costs and complexity. Traditional cloud providers offer VM-level data, which can make it difficult to track performance and costs at the application level. Furthermore, significant compute resources often remain idle, leading to wasted capacity and environmental impact.
Solution
Kinesis Network provides a serverless compute platform that aggregates idle CPU and GPU resources into a unified, on-demand cloud. This allows users to pay only for the compute time they consume, measured down to the millisecond, eliminating the need for manual infrastructure management. By tapping into underutilized compute capacity, Kinesis Network offers cost savings and promotes sustainability. The platform delivers detailed, time-series insights at the application level, enabling precise tracking of performance and costs.
Target Audience
The primary target audience includes enterprises, academic institutions, and AI startups seeking to optimize compute costs, simplify infrastructure management, and improve resource utilization.
Features
- Fully-automated, serverless compute cloud, eliminating the need for instance provisioning and OS updates
- Pay-as-you-go pricing model, charging only for the exact CPU/GPU time used
- Detailed, app-level insights for precise performance and cost tracking
- Support for multi-cloud deployments across AWS, Azure, and GCP
- Instant scaling to handle unpredictable demand for customer-facing applications
- Ability to run large batch jobs efficiently, utilizing idle capacity as it becomes available
- Green compute by tapping into idle compute resources, preventing e-waste and lowering carbon footprints