SambaNova today the expansion of its SambaNova Cloud deployment and partnership with SoftBank Corp. in Japan. SambaNova, in collaboration with SoftBank Corp., is adding racks equipped with SambaNova’s efficient AI chips to a new AI data center in Japan, providing developers in the region with fast inference services via SambaNova Cloud.
Developers will be given immediate access to the best Japanese open source model, Swallow, developed by Institute of Science Tokyo, as well as Meta’s Llama and Alibaba’s Qwen via SambaNova Cloud, increasing demand and footprint in the APAC region. In the next quarter, as more open source models are optimized for various Asian languages, they will also be released on SambaNova Cloud for developers in the region.
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Hironobu Tamba, Vice President and Head of the Data Platform Strategy Division of the Technology Unit at SoftBank Corp., stated: “SoftBank Corp. is actively engaged in various initiatives to enhance our generative AI development capabilities. Hosting SambaNova Cloud, which offers ultra-fast AI inference services, in SoftBank Corp’s AI data center is part of this commitment. Moving forward, we look forward to strengthening our collaboration with SambaNova to further advance generative AI initiatives.”
Rodrigo Liang, co-founder and CEO of SambaNova Systems, said: “The deal being announced today is an expansion of our current partnership with SoftBank Corp., showcasing SambaNova’s performance advantage for fast inference. This partnership means more developers in APAC can produce discoveries that accelerate and impact AI initiatives in the region. We are pleased to build upon our longstanding partnership with SoftBank Corp. and this new system deployment.”
With its extensive model offerings, ultra-fast inference speed, and an easy-to-use API interface, SambaNova Cloud is designed to be the AI inference service of choice for developers: “We are thrilled to provide developers across APAC with access to low-latency AI inference services like never before, empowering them to build solutions for the era of Agentic AI,” stated Liang.
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