The outcome

Choose a model based on measured quality, speed, limits, and stability for the intended application.

SambaNova Cloud is a hosted inference API for production and preview generative AI models. Testing and integrating high-throughput hosted language models through a familiar API surface, with enterprise deployment options through SambaStack. This guide narrows that broad capability into one repeatable outcome, with checkpoints that keep the source material and your judgment in the loop.

Before you begin

Set the boundary before the tool starts.

Choose one real task, identify who will use the result, and decide what evidence or test will make the result acceptable. Gather only the source material needed for that task. If the work contains confidential, personal, regulated, or client-owned information, confirm that the platform and account are approved before sharing it.

Troiana principle

AI should make the work easier to inspect. If the workflow removes the source, the owner, or the review step, redesign the workflow.

Step by step

A workflow you can repeat.

  1. 01

    Define task examples, expected outputs, context requirements, safety cases, latency targets, and a consistent scoring method.

  2. 02

    Inspect the current SambaCloud model catalog and label each candidate as production or preview before testing.

  3. 03

    Run identical prompts with fixed parameters and record output quality, latency, token use, formatting, refusals, and errors.

  4. 04

    Test realistic request volume against current per-user limits and inspect response headers rather than relying on static quotas.

  5. 05

    Select a production primary and compatible fallback, record exact model IDs, and schedule regression tests for catalog changes.

Working standard

What good use looks like.

  • Keep preview models out of production paths.
  • Test the actual workload.
  • Read current response-limit headers.

Preview models have limited capacity and may disappear at short notice. Protect keys, pin exact model IDs, validate outputs, bound retries and tokens, inspect current per-user limits, and do not log sensitive prompts indiscriminately.

Official references

Check the current product documentation.

Features, plan limits, availability, and data controls change. These official pages are the starting points used for this collection.