RackBank AI Edge infrastructure brings AI inference closer to where data is
generated at the edge. With sub-10ms latency, power efficient GPU nodes,
and secure routing, it enables real-time decision making for vision AI,
autonomous mobility, and location aware intelligence.
The RackBank Advantage
Sub-10ms latency edge zones
Compact GPU node design (5-30kW racks)
Metro + Tier-2 edge zones, deployable anywhere
Liquid cooling + renewable power, even at the edge
Hosted in India, ISO & regulatory ready
Find answers to common questions about our AI infrastructure services,
project process, and technical expertise.
RackBank's AI Edge platform is a service designed to bring AI inference closer to the source of data generation. It provides a distributed network of compact, efficient GPU nodes in metro and Tier-2 cities across India, optimized for real-time AI workloads that require ultra-low latency
The primary benefits include ultra-low latency, with edge zones optimized for sub-10ms latency for real-time applications like video analytics and object detection. The service also offers compact, power-efficient GPU nodes, is built on a sustainable and sovereign platform, and is designed for nationwide scalability.
RackBank has deployed AI Edge zones in metro and Tier-2 cities across India, including locations like Jaipur, Nagpur, Bhopal, Kolkata, and Guwahati. These zones are strategically placed to provide low-latency connectivity to local businesses and users.
The AI Edge platform is specifically optimized for inference-based workloads, which are tasks that involve running a trained AI model to make predictions or classifications. It is ideal for real-time applications where data needs to be processed quickly and locally, such as in retail, manufacturing, and smart cities.
RackBank's AI Edge services are committed to sustainability by using renewable energy and local grid redundancy to power the infrastructure. The compact sites also utilize liquid or hybrid cooling technologies tailored to the local environment, which helps achieve a low PUE (Power Usage Effectiveness) and reduces the environmental impact.
The AI Edge deployments are right-sized for edge use cases with rack densities ranging from 5–30 kW at compact sites. The GPU nodes are optimized for inference and are designed to be space and power-efficient.
By being fully hosted in India, RackBank's AI Edge platform ensures data sovereignty and compliance with local regulations, making it a secure choice for businesses that need to keep their data and AI operations within the country's borders.
Discover how RackBank can accelerate your AI and data journey.