Speed x Scale

The latest frontier model from MiniMax, MiniMax M2.7 is the first in the M-series that deeply participates in its own evolution.

Built for complex agent harnesses, multi-agent collaboration, and high-fidelity productivity tasks, M2.7 hits 56.22% on SWE-Pro, 55.6% on VIBE-Pro for end-to-end project delivery, and 57.0% on Terminal Bench 2.

Best of all, SambaNova leads on speed at 435 output tokens/s, >3x faster than any other provider.

We support the groundbreaking DeepSeek models, including the 671-billion-parameter DeepSeek-V3.1, which excels in coding, reasoning, and mathematics at a fraction of the cost of other models.

On our SambaNova RDU, DeepSeek-V3.1 achieves remarkable speeds of up to 200 tokens / second, as measured independently by Artificial Analysis.

As a launch partner for Meta's Llama 4 series, we've been at the forefront of open-source AI innovation. SambaCloud was the first platform to support all three variants of Llama 3.1 (8B, 70B, and 405B) with fast inference.

We are excited to work with Meta to deliver fast inference on both Scout and Maverick models.

OpenAI recently released gpt-oss-120b, a model that delivers high accuracy in just 120-billion parameter with a Mixture of Experts (MoE) architecture.

As a small but efficient model, it runs extremely fast on SambaNova RDUs at over 600 tokens per second, making it a great choice for near real-time agentic AI.