Together AI Dedicated Endpoints Skill for Agents

What is This Skill?

This skill teaches AI coding agents how to provision and manage Together AI dedicated endpoints. Deploy models on single-tenant GPUs with autoscaling, no rate limits, and custom configurations for production workloads.

Answer-Ready: Together AI Dedicated Endpoints Skill for coding agents. Single-tenant GPU inference with autoscaling and no rate limits. Custom model configs and production deployment. Part of official 12-skill collection.

Best for: Teams deploying models for production inference at scale. Works with: Claude Code, Cursor, Codex CLI.

What the Agent Learns

Create Endpoint

from together import Together

client = Together()
endpoint = client.endpoints.create(
    model="meta-llama/Llama-3.3-70B-Instruct-Turbo",
    hardware="gpu-h100-80gb",
    min_replicas=1,
    max_replicas=4,
    autoscale=True,
)
print(f"Endpoint URL: {endpoint.url}")

Hardware Options

Endpoint Management

# Scale
client.endpoints.update(endpoint.id, min_replicas=2)
# Monitor
status = client.endpoints.retrieve(endpoint.id)
# Delete
client.endpoints.delete(endpoint.id)

FAQ

Q: How is pricing different from serverless? A: Dedicated endpoints charge per GPU-hour, not per token. Better economics at sustained high volume.