AI-Ready Messaging from Edge to Cloud
From architects to developers, Synadia Platform, powered by NATS, provides a real-time, lightweight and secure connectivity fabric for modern microservices and AI-ready apps critical to globally distributed businesses – across multi-cloud, edge, and on-premises deployments.
How Synadia Helps
Leading AI development teams use Synadia Platform as their data connectivity backbone for real-time communication at scale when training and invoking machine learning models across distributed systems. The result? Seamless data exchange and low-latency responses for high-performance AI applications across multi-cloud and multi-edge.
Talk to our architectsData flexibility
Enable efficient handling of data at different values and volumes. Process high-volume low-value data directly at the edge and reliably transmit critical low-volume, high-value events to and from the cloud.
Bi-directional functionality
Facilitate reliable bi-directional data flows for updating AI models, distributing binaries, or time-sensitive data changes to and from edge locations, for synchronized data exchanges and enhanced response times.
Event-based communication
Re-deploy and re-architect apps without breaking the solution or re-configuring existing structures with subject-based addressing. Layer 7 conversational-style transport supports dynamic, event-based communication between AI services over TCP/IP.
Simple, seamless connectivity
Unifies diverse messaging models, lowering latency and system complexity while boosting performance. Offers asynchronous catch-up to sync messages when remote leaf nodes at the edge with intermittent connectivity reconnect.
Integrated data management
Manage data easily with a unified data layer for streaming, key-value stores and object storage. Ephemeral, durable data handling enables flexible, scalable inferencing and updates without IP multicast across AI components.
NATS Execution Engine, built-in
Accelerate development and deployment of AI applications by focusing on core application logic without reinventing the communication layer, eliminating extensive development and debugging of infrastructure code.
