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Cerebras vs Sambanova

Sambanova scores higher on the AgentReady, 48/100 against 46/100. They differ on 6 of the 41 signals. Which ones decides whether an agent can adopt them without a person watching.

What each one is

Cerebras. Cerebras is a company that builds AI accelerators and inference solutions powered by the Cerebras Wafer Scale Engine, offering the fastest AI inference in the industry.

Sambanova. SambaNova is an AI infrastructure company pushing the AI frontier with premium inference, maximizing dataflow efficiency with high speed and sustained throughput for running the largest models.

Where Cerebras is ahead

Cerebras passes public docs discoverable, and Sambanova does not. That is discover, whether an agent can find the product at all without being told it exists.

It also holds understand: limits / constraints documented. Sambanova misses it.

Where Sambanova is ahead

Sambanova passes clear canonical domain, and Cerebras does not. That is discover, whether an agent can find the product at all without being told it exists.

It also holds understand: structured api reference and authentication documented. Cerebras misses those.

And on adopt, copyable quickstart. Cerebras misses it.

What neither does

Both fail llms-full.txt / full agent docs, openapi / spec quality, pricing understandable, request examples provided, response examples provided, errors and status codes documented, self-service signup, no mandatory sales call, agent-compatible signup flow, programmatic credential creation, free trial or free allowance, fast time to first request, cli available, structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, agent compatibility verified. If your agent needs any of those, you will be building it yourself either way.

Score, pillar by pillar

The AgentReady splits into four pillars, scored separately, because a product can be easy to find and still impossible to adopt.

Discover. Cerebras leads 87 to 80. Cerebras misses clear canonical domain, llms-full.txt / full agent docs; Sambanova misses public docs discoverable, llms-full.txt / full agent docs.

Understand is whether an agent can read the docs and work out how the API behaves before calling it. Sambanova leads 38 to 23. Cerebras misses structured api reference, openapi / spec quality, authentication documented, pricing understandable, request examples provided, response examples provided, errors and status codes documented; Sambanova misses openapi / spec quality, pricing understandable, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented.

Adopt. Sambanova leads 40 to 38. Cerebras misses self-service signup, no mandatory sales call, agent-compatible signup flow, programmatic credential creation, free trial or free allowance, fast time to first request, copyable quickstart, cli available; Sambanova misses self-service signup, no mandatory sales call, agent-compatible signup flow, programmatic credential creation, free trial or free allowance, fast time to first request, cli available.

Operate. Both sit at 35/100 here. Cerebras misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, agent compatibility verified; Sambanova misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, agent compatibility verified.

Pricing

Cerebras does not publish a machine-readable starting price. Sambanova does not publish one.

Signal by signal

Which to pick

Sambanova clears more of the signals an agent needs, so it is the safer default for unattended use. Full profiles: Cerebras and Sambanova. Alternatives to each: Cerebras, Sambanova.

An agent can fetch this as data: POST /v1/compare {"slugs": ["cerebras", "sambanova"]}