Ops4AI Lab
Maximize your GPU investment with HPE Juniper Networking scale-up, scale-out, and scale-across solutions to build higher-performance, resilient AI fabrics for training and inference. See it in our Ops4AI Lab.
Validate and prove AI performance
A first-of-its-kind lab driving innovation, validation, and collaboration, where customers and partners can easily test the performance and functionality of their AI models.
Test AI-optimized Ethernet performance
Customers can now test AI-optimized Ethernet performance for their own workloads using standardized AI performance benchmarks or bring your own model (BYOM).
Validated designs for proven results
HPE validated designs for full-stack fabric, GPU, and storage networks give customers confidence that their AI clusters are fully vetted, tested, and ready. No guesswork—just plug and play.
Automate and manage the AI lifecycle
Design, deploy, operate, and troubleshoot your network fabric with intent-based networking, lifecycle management, and agentic AIOps.
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HPE Ops4AI Lab FAQs
What is Ops4AI?
HPE Ops4AI Lab at HPE Juniper Networking's headquarters in Sunnyvale, California allows customers and partners to test and validate AI data center infrastructure performance and operations. Ops4AI lab includes the following components:
- NVIDIA and AMD GPUs
- HPE Juniper Networking QFX switches with 800G/1.6 T interfaces
- HPE Juniper Networking PTX Routers with 800G interfaces
- AI-optimized Ethernet capabilities including MRC, UET and ROCEv2
- Storage network form HPE, VAST and Weka
- Multivendor network automation via HPE Networking Data Center Director (formerly, "Juniper Apstra")
- AIOps in the data center built upon HPE Mist AI platform
HPE Ops4AI enables rapid acceleration of time-to-value of high-performing AI data centers while simultaneously reducing operational costs and streamlining processes.
What AI models are customers able to run in the lab?
Customers can run the standardized AI performance benchmark models (BERT, LLAMA, DRLM etc.) for benchmarking and performance testing. They can also bring their models to test running over HPE Validated Designs.
What do we have in the lab today?
- NVIDIA and AMD GPUs
- QFX switches with 800G/1.6 T interfaces
- PTX Routers with 800G interfaces
- AI-optimized Ethernet capabilities including MRC, UET and ROCEv2
- Storage network form HPE, VAST and Weka
- Multivendor network automation via Data Center Director
- AIOps in the data center built upon HPE Mist AI platform
Are customer test results from the AI Lab made publicly available?
We respect the confidentiality and privacy of customer models and test data. As a result, we do not use customer models to test with other customers. While standardized AI performance benchmark models are publicly available, customer models are not shared.
I am a HPE Channel Partner. How can I get access to the lab for my customers?
Please contact your HPE account manager to request access.