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ONPREMBENCH / GUIDES
Technical recipes, operating lessons and real deployment experience. Start with your machine and keep the original authors in view.
Also in Guides: Operating lessons Shared setups
NVIDIA documents enterprise lifecycle integration and custom installation patterns.
Example tools are not preinstalled. Adapt to your management system and check the documented support boundaries.
NVIDIA’s model-serving playbook.
Check the selected NIM profile, image digest, memory use and readiness time.
NVIDIA’s vLLM setup reference.
Pin the container and test your model, prompt lengths and simultaneous requests.
A local chat interface and serving stack.
Review authentication, document access and any external connections before shared use.
Local monitoring, notebooks and update controls.
Record the installed OS and dashboard version; plan for update reboots.
A starting point for video inference.
Evaluate camera data handling, latency and task accuracy for your environment.
Browse serving, development and application guides.
Individual playbooks have their own hardware support matrices. Do not assume all target both platforms.
Track OS changes, fixes and known issues.
Match the installed release. Partner OEMs may distribute different updates.
Official system setup and operating documentation.
Check which provisioning, recovery and network settings apply to your exact system.
A historical discussion of memory limits and dashboard reporting.
October–November 2025 thread; a later reply reports an update. Check current versions before applying old advice.
Community configurations published with the sparkrun recipe format.
Read the exact recipe revision, model and topology. UT has not reproduced these results.
Launch and manage supported serving engines on Spark hardware.
Review remote access, container privileges and hardware requirements before running.
An owner-maintained index of tools, guides and operational projects.
Follow each original project for versions, licensing, limitations and maintainer status.
Why runtime selection became an operating decision at UT.
The narrative is operator-reported. Pinned versions and comparable results are still to be attached.
Separate download, preparation, model loading and service readiness.
An open investigation, not a diagnosed universal NIM issue. Cold and warm starts need separate measurement.
Examine what still connects beyond the premises.
Distinguish initial installation, inference, application use, authentication and updates.
An operator’s questions about memory and shared inference.
A model fitting in memory does not establish a supported-user count.
Confidential Wi-Fi module test automation.
Exact hardware and proprietary test assets are not disclosed. This is an application field record.
We index and summarize original resources. Linked playbooks are not automatically tested by UT. Check the original version, licence and hardware matrix before using code. Historical forum reports keep their dates and resolution context.
Read the evidence policy