Keysight Technologies Joins Open Programmable Infrastructure Initiative with First Coordinated Release
Keysight Technologies has announced its participation in the inaugural release of the Open Programmable Infrastructure (OPI) Project’s OPI Abstraction v0.1.0. The update introduces a vendor‑neutral, hardware‑agnostic API layer that spans 26 repositories, enabling developers and operators to integrate and scale Data Processing Units (DPUs) and Infrastructure Processing Units (IPUs) without writing device‑specific code.
Technical Overview of the OPI Abstraction Layer
- API Scope: The abstraction layer encapsulates low‑level hardware interactions, exposing a unified interface for orchestrating DPUs and IPUs across heterogeneous platforms.
- Repository Coverage: By covering 26 repositories, the layer standardizes driver, SDK, and orchestration modules that previously required separate, vendor‑specific implementations.
- Operational Impact: IT teams can now provision, monitor, and re‑allocate DPUs in a cloud‑native fashion, reducing the time‑to‑value for AI and networking workloads.
First OPI Blueprint – A Kubernetes‑Based Deployment Pattern
In addition to the API foundation, the release presents the first OPI Blueprint. This blueprint is a production‑grade deployment pattern built around Kubernetes, with a primary focus on network function offload (NFO):
- Partner Collaboration: Developed jointly with F5/NGINX and Red Hat, the blueprint demonstrates how standardized infrastructure components can be assembled into a scalable NFO solution.
- Use Case: The pattern supports the deployment of virtualized network functions (VNFs) that offload packet processing to DPUs, delivering sub‑millisecond latency and high throughput.
- Scalability: Kubernetes operators manage lifecycle events, allowing the blueprint to scale across multiple nodes while maintaining consistent policy enforcement.
Strategic Implications for Keysight and the Broader Ecosystem
Venkat Pullela, Keysight’s Chief Technology Officer for AI Infrastructure, emphasized that the abstraction layer will enable organizations to orchestrate DPUs across multiple nodes and support a broad spectrum of AI workloads—from scale‑up (single‑node performance optimization) to scale‑out (distributed inference across clusters).
- Reduced Vendor Lock‑In: By abstracting hardware specifics, organizations can switch between DPU vendors without rewriting code, mitigating the operational risks associated with proprietary SDKs.
- Operational Efficiency: The unified API streamlines patching, monitoring, and compliance, lowering the operational burden on IT teams.
- Accelerated Innovation: The community‑driven model of the Linux Foundation–governed OPI project encourages rapid iteration and real‑world deployment, fostering faster innovation cycles for edge computing, AI‑driven services, and high‑performance networking.
Industry Context and Trends
- Growth of DPUs and IPUs: According to recent market analyses, the DPU market is projected to grow at a CAGR of 32% between 2024 and 2030, driven by increasing demand for data‑centric workloads and network function virtualization.
- Shift Toward Cloud‑Native Infrastructure: Enterprises are adopting Kubernetes and other container orchestration tools to manage heterogenous workloads, creating a need for hardware‑agnostic interfaces.
- Vendor Fragmentation: Proprietary SDKs have historically fragmented the ecosystem, resulting in increased development costs and longer time‑to‑deployment. The OPI initiative directly addresses this pain point.
Actionable Takeaways for IT Decision‑Makers
| Consideration | Recommendation |
|---|---|
| Evaluation of DPU Portability | Adopt the OPI abstraction layer to evaluate DPUs from multiple vendors with minimal code changes. |
| Deployment Strategy | Implement the OPI Blueprint to accelerate NFO deployment, leveraging existing Kubernetes infrastructure. |
| Vendor Risk Management | Use the API to decouple workloads from specific hardware, reducing lock‑in and enabling flexible procurement. |
| Operational Overhead | Leverage the community‑driven tooling to automate patching, monitoring, and scaling of DPUs and IPUs. |
| Future Proofing | Monitor OPI community updates; early adoption positions organizations to benefit from evolving standards and best practices. |
Conclusion
Keysight’s contribution to the first coordinated release of the OPI Project underscores its commitment to fostering interoperable, cloud‑native environments. By delivering a vendor‑neutral API and a production‑grade deployment blueprint, Keysight is helping to lower operational complexity, accelerate real‑world deployments, and drive broader adoption of DPUs and IPUs across sectors that demand high‑performance networking, edge computing, and AI‑driven services.
