Arteris announced that Speedata, the developer of a purpose-built Analytics Processing Unit (APU), has deployed Arteris FlexNoC technology in its Callisto processor. The Speedata APU is designed to run Apache Spark SQL, AI data preparation, agentic analytics, and batch ETL workloads natively in silicon, with the goal of improving performance and lowering total cost of ownership.
As organizations handle ever-larger volumes of structured and unstructured data, the challenge is no longer just compute power, it is moving data efficiently across the system. The FlexNoC addresses that need with an on-chip interconnect that links compute, memory, and I/O, delivering the bandwidth and scalability required for these data-intensive workloads.
The collaboration also reflects a broader shift in modern analytics infrastructure, where efficient data movement across increasingly complex semiconductor architectures is becoming essential. Arteris says its technology helps engineering teams build new semiconductor computing platforms for AI data centers, edge AI devices, and physical AI systems.
Leadership Comments
“AI inference is transforming every technology stack and industry at speed and scale, with 
real-time data analytics, accelerated by Speedata APU, as the catalyst. Arteris FlexNoC has been an important enabling technology across both Callisto and our next-generation Andromeda APU, giving our engineering teams the flexibility to focus on innovation in accelerated data analytics while relying on a proven interconnect foundation,” said Rafi Shalom, CTO, Chief Architect & Co-founder of Speedata.Â
“Across all types of AI computing and data analytics infrastructure, moving high-performance data efficiently, safely, and securely has become just as important as processing it,” said K. Charles Janac, president and CEO of Arteris. “As organizations work to extract value from ever-larger datasets, semiconductor innovation increasingly depends on system architectures capable of delivering efficient communication between compute resources. Speedata has developed an innovative approach to data analytics acceleration, and we’re pleased our technology is helping enable that vision.”
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