You must orchestrate containers and serve several models at scale. Which pairing fits?
Why D is the answer
Kubernetes and NVIDIA Triton
NVIDIA lists Kubernetes and Triton as examples in the topic.
In detail
- Kubernetes orchestrates containers, and Triton serves models.
- NVIDIA lists both as examples.
Use case
An illustrative scenario, not a real incident.
A platform team uses Kubernetes for containers, and Triton to serve several models.
See it in different ways
flowchart LR A["Model"] --> B["Serving container"] B --> C["Kubernetes"] C --> D["Autoscaling replicas"] D --> E["Monitoring"]
sequenceDiagram participant U as Users participant K as Kubernetes participant T as Triton or NIM participant G as GPUs U->>K: Requests K->>K: Scales replicas on load K->>T: Routes the request T->>G: Batched inference
mindmap
root(("Serving at scale"))
n1["Orchestration"]
n2["Kubernetes"]
n3["Model serving"]
n4["NVIDIA Triton"]Key point: Kubernetes and Triton serve at scale.
Why the other options are wrong
- A. Slurm and NVIDIA Omniverse
- Omniverse is not for serving.
- B. Docker Compose and NVIDIA Isaac
- Isaac is for robotics.
- C. Ansible and NVIDIA RAPIDS
- RAPIDS is for data science.