- DATA
- JOB
- STATUS
- HUMAN
Short answer
How do I run large scale batch inference with my AI?
Upload your dataset and tell your agent to start a batch job. The processing happens in the background, and you'll get the results once the job finishes. You'll see the specific steps and outcomes below.
The outcomes.
Where your data goes.
Once you trigger a job, the data moves through these stages.
DATA
Files are staged
Your dataset is uploaded and ready for the model. The AI holds the data in a state where it can be processed in bulk.
JOB
Batch is running
The inference runs in the background. You don't have to keep your chat window open while the work happens.
STATUS
Progress is tracked
You can check on the job at any time. Your agent monitors the queue to see how many items are finished.
HUMAN
Review results
The AI presents the completed data. You decide which outputs are useful and which need a second look.
The workflow
What your AI does when the data arrives.
The AI handles the heavy lifting of data management and job monitoring.
Stage the data
Your agent takes your local dataset and moves it into the Cerebras environment.
upload_fileStart the job
The AI tells the system to begin processing the uploaded files using the specified model parameters.
create_batchMonitor progress
Your agent checks the status of the running job to see if it's still processing or if it has finished.
get_batchManage jobs
The AI can look through all previous jobs to find specific runs or check the history of your work.
list_batches
Try it
Copy these to start.
Use these prompts to kick off your first batch job.
Starting points
These are opening lines. Swap out the file names or job descriptions with your actual data details.
Cerebras Inference Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_xAZFRBg8VLAlPUucEoLSiFDXRg3Jdk9xiofskaFP/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — Cerebras Inference capabilities are ready to use.
{
"mcpServers": {
"cerebras-inference-mcp": {
"url": "https://edge.vinkius.com/vk_preview_xAZFRBg8VLAlPUucEoLSiFDXRg3Jdk9xiofskaFP/mcp"
}
}
}Upload my dataset 'customer_feedback.csv' and start a batch inference job.
Check the status of my last batch job to see if it's finished.
List all my recent batch jobs so I can see what's completed.
Start a new batch job using the file I just uploaded.
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect Cerebras Inference once, then ask.
One click connects your AI client to the Cerebras environment. Your credentials stay encrypted, and you can start running jobs immediately.
Connect Cerebras Inference to your AIFAQ
How batch inference behaves.
- 01
Does the AI wait for the batch to finish before I can chat again?
No. The processing happens in the background, so you can continue talking to your agent while the job runs.
- 02
Can the AI delete my uploaded files?
No. The current tools only allow for uploading, creating, and listing batches. The AI cannot delete files.
- 03
Can I change the model settings after the batch has started?
No. Once a batch is created, the parameters are set for that specific job.
- 04
How do I know if a batch job failed?
You can ask your agent to check the status of the job, and it will report whether the batch succeeded or encountered an error.
- 05
Can the AI run inference on a single prompt using these tools?
No. These specific tools are designed for batch processing. For single prompts, you would use standard chat interactions.
More questions about Cerebras Inference? The Connector page answers them. See everything the Cerebras Inference Connector can do
Connect Cerebras Inference to Claude, Cursor, ChatGPT & more
