Skip to main content
Back to top
Ctrl
+
K
CloudAI
Search
Ctrl
+
K
Search
Ctrl
+
K
CloudAI
Table of Contents
Overview
Get started
Install CloudAI
Run your first experiment
Understand experiment configuration
Run experiments
Set up your execution environment
Run on Slurm
Run on Kubernetes
Compose a scenario
Prepare and clean up with hooks
Prepare model weights
Prepare workload prerequisites
Inspect commands before execution
Read results and generate reports
Optimize configurations
Run a configuration search
Choose an objective and search space
Plan compute usage
Compare trade-offs and reuse configurations
Automate experiments
Run experiments with Python
Handle results and failures
Publish results and integrate with CI
Workloads
Training
MegatronBridge
Nemo Run
DDLB
Inference
vLLM
SGLang
AI Dynamo
SRT-Slurm
Networking and communication
NCCL
UCC
OSU
DeepEP Benchmark
NIXL Bench
NIXL EP
NIXL KVBench
NIXL CTPerf
Storage
fio
Simulation and prediction
AIConfigurator
DynamoMocker
Chakra Replay
General-purpose execution
Bash Command
Slurm Container
Sleep
Legacy integrations
NeMo Launcher (deprecated)
JaxToolbox workloads (DEPRECATED)
Extend CloudAI
Architecture and extension points
Add a workload
Add a reporter
Add an optimization agent
Add an execution system or runner
Develop and contribute
Reference
CLI reference
Workload and system support
Systems
NCCL on RunAI
System configuration example
Shared system settings
Test definitions
Scenario configuration
Agent and search settings
Reports
Training Report Schema
Python API
Troubleshooting
Search
Error
Please activate JavaScript to enable the search functionality.
Ctrl
+
K
