Choose the document that owns the answer
The dependency chain
An application may bundle a runtime while another expects a system toolkit. A framework build may require a particular library or driver floor. The GPU then adds its own hardware-feature boundary through compute capability.
That is why two accurate version strings can differ without contradicting each other: they may describe different layers. For the strategic context, read why CUDA mattered to NVIDIA's evolution.
[5][33][43][44]NIM versus NeMo: serving a model or developing one
NVIDIA NIM packages model inference as deployable microservices. NVIDIA NeMo is a broader suite for building, customizing, evaluating, and optimizing generative-AI models and agents. NeMo includes development tools and microservices; its documentation also links to NIM for deployment. They can be used together, so this is a task distinction rather than a choice between mutually exclusive products.
| Your immediate task | Start here | Check before committing |
|---|---|---|
| Serve an existing model through an API | NIM documentation | Model, hardware, runtime, license, and support offering |
| Train, customize, evaluate, or govern a model or agent | NeMo documentation | Which NeMo framework, toolkit, or microservice performs the job |
| Customize a model and then serve it | NeMo workflow plus NIM deployment where supported | Export format, serving compatibility, and deployment requirements |
You can stop at this distinction if you only needed the names. An implementation decision needs the current documentation for the exact component and environment.
[94][95]DLSS is a graphics feature family, not a driver version
Check the feature, GPU and game separately. NVIDIA’s October 8 hardware table lists Super Resolution and Ray Reconstruction on RTX 20, 30, 40 and 50 Series; Frame Generation on RTX 40 and 50 Series; and Dynamic Multi Frame Generation on RTX 50 Series. Its current page also describes DLSS 5 3D-Guided Neural Rendering for RTX 50 Series. Hardware eligibility alone does not mean a game integrates a feature.
Reflex addresses latency and is distinct from image reconstruction or generated frames. Check the game settings and NVIDIA’s current compatibility table, then the driver release and issue context. This reference makes no measured performance claim and does not maintain a live game catalog.
[102][45]What this site will and will not do
We explain
- which layer a version belongs to
- which official document owns the check
- how compatibility concepts relate
We do not claim
- to inspect your machine
- to provide official support or downloads
- that a generic command is safe for every environment
Inference: check the component that owns your question
- TensorRT: inference optimization and runtime support. Its 11.3.0 release notes specify CUDA 13.4-built packages and platform limits.
- Triton Inference Server: serving and deployment. Release 26.09 has its own container and driver requirements; a CUDA version alone is insufficient.
- NIM and AI Enterprise: check the exact model container, application branch and infrastructure lifecycle. The September policy update names three model-specific NIMs reaching end of support in January 2027; it is not an end date for every NIM.
Keep these checks alongside the NIM/NeMo distinction above and the Omniverse guide. Different components have different release schedules.
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