Maitai uses SambaCloud to deliver Inference-as-a-Service

Enterprises get fine-tuned models with low latency, high throughput & accuracy

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Challenge:

Maitai provides fully managed inference as-a-service, specifically for enterprises. They fine-tune customer models for their individual applications then host those models on the fastest hardware available to deliver what they term as “no compromise inference.” Their goal is to deliver ultra-low latency and extremely high throughput with accuracy that improves over time, but were challenged with delivering the performance their customers expect. 

The customers Maitai serves are typically enterprises that have undergone a proof of concept, but are struggling to bring their fine-tuned models to production. Speed, latency, or accuracy are common challenges they face, as well as GPU-based infrastructure not being able to deliver the performance they need. Regulatory compliance requirements and reliability are also top concerns for many of their customers. 

Solution:

Maitai can now quickly and easily bring their customers' model checkpoints to SambaNova and host those models on SambaCloud. Powered by the SN40L RDU, SambaCloud delivers the high throughput and ultra-low latency that Maitai and their customers require.

Now, Maitai is able to better satisfy their customers by running their models on SambaCloud to meet their demanding performance requirements with the required levels of privacy and security. 

 

Christian Dal Santo, CEO & Founder of Maitai, explains how they leverage SambaNova.

 

Christian discusses the impact of latency on natural language applications.

“We work with SambaNova because for our enterprise customers, high performance and low latency are paramount.”


— Christian Dal Santo, CEO and Founder of Maitai

FAQs

What is SambaCloud and how does Ricoh use it?

SambaCloud is SambaNova's fully managed cloud inference service, powered by the Reconfigurable Dataflow Unit (RDU). Ricoh uses it to host and serve custom AI models fine-tuned for Japanese business documents and industry-specific workflows.

How much faster is SambaCloud than standard GPU infrastructure?

SambaCloud delivers 10x faster inference than Ricoh's existing GPU infrastructure, achieving over 700 tokens per second on 70B-class models compared to tens of tokens per second previously.

Does SambaCloud support fine-tuned open-weight models?

Yes. SambaCloud is compatible with a wide range of open-weight models including Llama, Qwen, and Gemma, and supports fine-tuned variants, preserving accuracy and cultural relevance for Ricoh's Japanese business use cases.

How does SambaCloud handle agentic AI workflows? 

SambaCloud's speed enables complex agentic workflows involving multiple model calls to complete in around ten seconds, compared to approximately one minute on previous infrastructure.

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