aitbc/docs/apps/clients/2_job-submission.md

Job Submission Guide

Submit compute jobs to the AITBC network using the enhanced CLI.

Basic Submission

aitbc client submit --model gpt2 --input data.txt --output results/

Enhanced Options Reference

Option	Required	Description
--model	Yes	Model to run (e.g., gpt2, llama, stable-diffusion)
--input	Yes	Input file or data
--output	Yes	Output directory
--gpu	No	GPU requirements (v100, a100, rtx3090)
--gpu-count	No	Number of GPUs (default: 1)
--timeout	No	Job timeout in seconds (default: 3600)
--priority	No	Job priority (low, normal, high)
--agent-id	No	Specific agent ID for execution
--workflow	No	Agent workflow to use

GPU Requirements

Single GPU

aitbc client submit --model gpt2 --input data.txt --gpu v100

Multiple GPUs

aitbc client submit --model llama --input data.txt --gpu a100 --gpu-count 4

Specific GPU Type

aitbc client submit --model stable-diffusion --input data.txt --gpu rtx3090

Agent Workflow Submission (New)

# Submit job to specific agent workflow
aitbc client submit \
  --workflow ai_inference \
  --input '{"prompt": "Hello world"}' \
  --agent-id agent_123

# Submit with custom workflow configuration
aitbc client submit \
  --workflow custom_workflow \
  --input data.txt \
  --workflow-config '{"temperature": 0.8, "max_tokens": 1000}'

Input Methods

File Input

aitbc client submit --model gpt2 --input ./data/training_data.txt

Direct Data Input

aitbc client submit --model gpt2 --input "What is AI?"

JSON Input

aitbc client submit --model gpt2 --input '{"prompt": "Summarize this", "context": "AI training"}'

Batch Submission (New)

# Create jobs file
cat > jobs.json << EOF
[
  {
    "model": "gpt2",
    "input": "What is machine learning?",
    "priority": "normal"
  },
  {
    "model": "llama",
    "input": "Explain blockchain",
    "priority": "high"
  }
]
EOF

# Submit batch jobs
aitbc client batch-submit --jobs-file jobs.json

Job Templates (New)

# Create job template
aitbc client template create \
  --name inference_template \
  --model gpt2 \
  --priority normal \
  --timeout 3600

# Use template
aitbc client submit --template inference_template --input "Hello world"

Advanced Submission Options

Priority Jobs

aitbc client submit --model gpt2 --input data.txt --priority high

Custom Timeout

aitbc client submit --model gpt2 --input data.txt --timeout 7200

Specific Agent

aitbc client submit --model gpt2 --input data.txt --agent-id agent_456

Custom Workflow

aitbc client submit \
  --workflow custom_inference \
  --input data.txt \
  --workflow-config '{"temperature": 0.7, "top_p": 0.9}'

Marketplace Integration

Find Available GPUs

aitbc marketplace gpu list
aitbc marketplace gpu list --model gpt2 --region us-west

Submit with Marketplace GPU

aitbc client submit \
  --model gpt2 \
  --input data.txt \
  --gpu-type rtx4090 \
  --use-marketplace

Job Monitoring

Track Submission

aitbc client status --job-id <JOB_ID>
aitbc client list --status submitted

Real-time Monitoring

aitbc monitor dashboard
aitbc monitor metrics --component jobs

Troubleshooting

Common Issues

# Check CLI configuration
aitbc --config

# Test connectivity
aitbc blockchain status

# Debug mode
aitbc --debug

Job Failure Analysis

# Get detailed job information
aitbc client status --job-id <JOB_ID> --verbose

# Check agent status
aitbc agent status --agent-id <AGENT_ID>

Best Practices

1. Use appropriate GPU types for your model requirements
2. Set reasonable timeouts based on job complexity
3. Use batch submission for multiple similar jobs
4. Monitor job progress with the dashboard
5. Use templates for recurring job patterns
6. Leverage agent workflows for complex processing pipelines

Inline Input

aitbc client submit --model gpt2 --input "Hello, world!"

URL Input

aitbc client submit --model gpt2 --input https://example.com/data.txt

Output Options

Local Directory

aitbc client submit --model gpt2 --input data.txt --output ./results

S3 Compatible Storage

aitbc client submit --model gpt2 --input data.txt --output s3://my-bucket/results

Job Priority

Priority	Speed	Cost
low	Standard	1x
normal	Fast	1.5x
high	Priority	2x

Examples

Training Job

aitbc client submit \
  --model llama \
  --input ./training_data.csv \
  --output ./model_weights \
  --gpu a100 \
  --gpu-count 4 \
  --timeout 7200 \
  --priority high

Inference Job

aitbc client submit \
  --model gpt2 \
  --input ./prompts.txt \
  --output ./outputs \
  --gpu v100 \
  --timeout 600

Batch Jobs

Submit multiple jobs at once:

# Using a job file
aitbc client submit-batch --file jobs.yaml

Example jobs.yaml:

jobs:
  - model: gpt2
    input: data1.txt
    output: results1/
  - model: gpt2
    input: data2.txt
    output: results2/

Next

• 3_job-lifecycle.md — Status, results, history, cancellation
• 5_pricing-billing.md — Cost structure and invoices