Scalable AI Inferencing Platform: Red Hat OpenShift AI powered by Rebellions NPUs
This joint solution combines Red Hat OpenShift AI with Rebellions’ energy-efficient NPUs to deliver a validated full-stack AI inference platform. It simplifies deployment, reduces operational costs, and enables consistent performance across environments.
As organizations adopt generative AI across more use cases, they face rising infrastructure costs, deployment complexity, and the need for flexible, secure environments.
Traditional GPU-based setups often struggle to meet performance and efficiency demands at scale especially in regulated sectors where data sovereignty and compliance are critical.
This joint solution combines Red Hat OpenShift AI with Rebellions’ energy-efficient NPUs to deliver a validated full-stack AI inference platform. It simplifies deployment, reduces operational costs, and enables consistent performance across environments.
- Enterprise-ready AI at scale: Run large language models and inference workloads with high throughput, low latency and superior power efficiency, leveraging vLLM integrated with Rebellions’ rack-scale NPU solutions for distributed processing.
- Secure and compliant: Keep data on-premises and meet regulatory requirements with Red Hat’s trusted platform and Rebellions’ secure hardware.
- Simplified operations: Manage NPUs like GPUs, using Red Hat’s unified platform, reducing complexity and accelerating adoption.
- Flexible and scalable: Deploy where your data lives, from core to edge, with linear scale-out.
- Full-stack AI platform
Integrated from hardware to model serving, validated by Red Hat and Rebellions for enterprise-grade compatibility.
- Red Hat Verified Operator
The Rebellions NPU Operator is officially certified, ensuring seamless integration and trusted support.
- Seamless SDK integration
Rebellions software stack runs natively on OpenShift AI, eliminating overhead and accelerating deployment.
- Performance and efficiency
Achieve high throughput with low latency and superior power efficiency, ideal for large-scale inference.
- Flexible deployment
Supports on-premises and multi-cloud environments, enabling data sovereignty and regulatory compliance.
