Which NVIDIA library family accelerates data science on GPUs?
Why D is the answer
RAPIDS
RAPIDS brings dataframes and ML to GPUs.
In detail
- RAPIDS brings dataframes and ML to GPUs.
- It brings data science to GPUs.
Use case
An illustrative scenario, not a real incident.
A data science team speeds up dataframes and ML by moving them to RAPIDS.
See it in different ways
mindmap
root((Platforms))
Digital twins
Omniverse
Robotics
Isaac
Video analytics
Metropolis
Route optimization
cuOpt
Data science
RAPIDSflowchart LR S0["Data"] --> S1["RAPIDS libraries"] --> S2["Faster results"]
Key point: RAPIDS accelerates data science.
Why the other options are wrong
- A. Spectrum
- Spectrum is networking.
- B. Cumulus
- Cumulus is a switch OS.
- C. Fabric Manager
- That manages NVSwitch.