Parasail uses SambaCloud to deliver extreme performance

AI Deployment Network delivers the fastest token speeds available for real-time low latency processing

parasail-logo-blue

Challenge:

Parasail aggregates AI infrastructure resources to process billions of tokens per day and provide their customers with the right combination of cost, scalability, and performance to meet the specific needs of their applications. With global customers ranging from fast growing startups to large enterprises, Parasail delivers an AI deployment network with a highly diverse package of resources designed to meet any requirements.

Solution:

Parasail integrated the SambaCloud into their environment. Powered by the SambaNova RDU, the SN40L, SambaCloud delivers the fastest inference on the largest and best open source models.With a global network of resources, the SambaCloud seamlessly connects into the Parasail AI Deployment Network. Their customers can select SambaNova from the list of available solutions and immediately begin taking advantage of lighting fast inference across a range of models including DeepSeek R1 671B, DeepSeek V3, Llama 3.1 405B, and many more.

In the videos, Parasail has an embedding of hundreds of millions of scientific papers. When a user asks a question, there are many steps to delivering a high quality answer. In this example, they pull out the relevant facts and additional content, then run a full-scale LLM on the results before delivering the final result. While it takes some time for the Nvidia GPUs to deliver a result, the response from SambaNova is immediate.

 

Mike Henry, Parasail CEO, shares his thoughts on proprietary models and the market potential of open-source models.

 

Mike Henry, Parasail CEO, explains the power of aggregation and value of adding SambaNova to their product

“When people need really, really fast tokens, this is a great solution"


— Mike Henry, CEO Parasail

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.

Back to top

Related resources

SambaNova Expands Deployment with SoftBank Corp. to Offer Fast AI Inference Across APAC

SambaNova Expands Deployment with SoftBank Corp. to Offer Fast AI Inference Across APAC

March 5, 2025
Qwen3 Is Here - Now Live on SambaNova Cloud

Qwen3 Is Here - Now Live on SambaNova Cloud

May 2, 2025
SambaNova Partners with Meta to Deliver Lightning Fast Inference on Llama 4

SambaNova Partners with Meta to Deliver Lightning Fast Inference on Llama 4

April 7, 2025