Arteris announced that Speedata has deployed its FlexNoC network-on-chip technology in the Callisto processor to enable

Arteris, Inc., a leading provider of semiconductor technology for accelerating innovation in the AI era, announced on July 21, 2026, that Speedata, developer of the purpose-built Analytics Processing Unit (APU), has deployed Arteris FlexNoC technology in its Callisto processor. The Speedata APU runs Apache Spark SQL, AI Data Preparation, Agentic Analytics, and batch ETL workloads natively in silicon, delivering faster performance and lower total cost of ownership.

Organizations increasingly rely on large-scale analytics to extract insights from growing volumes of structured and unstructured data. As these workloads expand, system performance is often limited by the ability to move data efficiently throughout the system. Arteris FlexNoC provides the on-chip interconnect that connects compute, memory, and I/O across the design, delivering the bandwidth and scalability these workloads demand.

Rafi Shalom, CTO, Chief Architect and Co-founder of Speedata, stated: "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."

K. Charles Janac, President and CEO of Arteris, added: "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. 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."

Speedata's Analytics Processing Unit delivers up to 100 times faster performance and 90 percent lower total cost of ownership compared to general-purpose compute, with zero code changes required. In one enterprise AI data preprocessing deployment, that efficiency allowed customers to replace 37 servers with just 3. The APU executes Spark operations natively in silicon rather than memory and integrates directly into existing data pipelines, accelerating the most demanding analytics and AI data layer workloads at scale.