RLark: Product Facts & Availability

RLark is a Kubernetes-based cloud-native platform for managing cross-cluster embodied AI workloads from cloud GPU training to edge deployment.

Product information

Information below comes from the product website or public documentation. Pricing and availability may change.

Category: Robot Development
Maturityi: Available
Deploymenti: Hybrid
Buying / access: Buy or sign up directly
Source: Official website

Reality check

A demo shows what may be possible. These points help judge whether the product fits day-to-day use.

Works well when

Simulation, control, perception and repeatable experiments
Teams that can manage dependencies and hardware interfaces
Prototyping before committing to a physical deployment

What to check

Supported hardware, GPU requirements and version compatibility
Documentation, examples and community response
How simulation results transfer to the real robot

Not a magic solution

A guarantee that simulation equals a production cell
A replacement for safety validation on hardware
A low-maintenance toolchain without version ownership

About

RLark is an open-source embodied AI cloud-native management platform from the RLinf project. It orchestrates reinforcement learning and LLM training jobs across cloud GPU clusters and edge devices using Kubernetes, kcp, and declarative Job/Task abstractions. Key capabilities include cross-cluster Pod-to-Pod networking, multi-runtime support, X.509 and SSH certificate management, and Prometheus-based observability. It targets embodied and agentic AI pipelines spanning GPU clusters, robot arms, and sensors.