Press Releases July 21, 2026 09:00 AM

Arteris Deployed by Speedata for Data Center Compute

Arteris FlexNoC technology powers Speedata's Analytics Processing Unit for accelerated AI data center compute

By Leila Farooq
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AIP

Arteris, Inc. announced that Speedata has deployed its FlexNoC on-chip interconnect technology in the Speedata Callisto Analytics Processing Unit (APU). The APU accelerates AI data workloads such as Apache Spark SQL and AI data prep with significant performance gains and cost savings. Arteris technology facilitates efficient and scalable data movement critical for AI inference and analytics infrastructure.

Arteris Deployed by Speedata for Data Center Compute
AIP
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Key Points

  • Arteris FlexNoC technology is integrated into Speedata's Callisto APU, enhancing performance for AI and data analytics workloads.
  • Speedata's APU runs complex analytics tasks natively in silicon, providing up to 100x faster performance and 90% lower total cost than general-purpose compute.
  • The partnership addresses growing demand for efficient data movement in semiconductor designs for AI data centers and edge computing.

CAMPBELL, Calif., July 21, 2026 (GLOBE NEWSWIRE) -- Arteris, Inc. (Nasdaq: AIP), a leading provider of semiconductor technology for accelerating innovation in the AI era, today announced 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.

“As organizations work to extract value from ever-larger datasets, semiconductor innovation increasingly depends on system architectures capable of delivering…”
“AI inference is transforming every technology stack and industry at speed and scale, with real-time data analytics, accelerated by Speedata APU, as the…”
“Across all types of AI computing and data analytics infrastructure, moving high-performance data efficiently, safely, and securely has become just as…”
“As organizations work to extract value from ever-larger datasets, semiconductor innovation increasingly depends on system architectures capable of delivering…”
“AI inference is transforming every technology stack and industry at speed and scale, with real-time data analytics, accelerated by Speedata APU, as the…”
“Across all types of AI computing and data analytics infrastructure, moving high-performance data efficiently, safely, and securely has become just as…”
“As organizations work to extract value from ever-larger datasets, semiconductor innovation increasingly depends on system architectures capable of delivering…”

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.

"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.

"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."

As modern analytics infrastructure depends on the efficient movement of data across increasingly complex semiconductor architectures, Arteris technology helps engineering teams effectively create new semiconductor computing for AI data centers, edge AI devices, and physical AI systems. Learn more at arteris.ai.

About Arteris
Arteris is a leading provider of semiconductor technology that accelerates the creation of high-performance, power-efficient silicon with built-in safety, reliability, and security. Innovative Arteris products are designed to optimize data movement and help ease complexity in the modern AI era with network-on-chip (NoC) interconnect intellectual property (IP), system-on-chip (SoC) software for integration automation and hardware security assurance. All are used by the world’s top technology companies to improve overall performance and engineering productivity, reduce risk, lower costs, and bring cutting-edge designs to market faster. Learn more at arteris.com.

About Speedata
Speedata is the creator of the Analytics Processing Unit (APU), the first processor purpose-built for Apache Spark SQL, AI Data Preparation, Agentic Analytics, and batch ETL analytics workloads. By executing Spark operations natively in silicon rather than memory, the APU delivers up to 100x faster performance and 90% lower total cost of ownership compared to general-purpose compute, with zero code changes required. In one enterprise AI data preprocessing deployment, that efficiency let customers replace 37 servers with just 3.

Speedata integrates directly into existing data pipelines, accelerating the most demanding analytics and AI data layer workloads at scale. Speedata's breakthrough accelerated analytics and database processors provide significant improvement in performance-per-cost for enterprises, public and sovereign cloud providers, private datacenters, and technology providers across industries. Learn more at speedata.io.

© 2004-2026 Arteris, Inc. All rights reserved worldwide. Arteris, Arteris IP, the Arteris IP logo, and the other Arteris marks found at arteris.com/trademarks are trademarks or registered trademarks of Arteris, Inc. or its subsidiaries. All other trademarks are the property of their respective owners.

Media Contact:
Gina Jacobs
Arteris
+1.408.560.3044
[email protected]

Media Contact:
Daniela Sztulwark
Speedata
+1.917.891.1134
[email protected]


Risks

  • Dependence on continued adoption of AI and large-scale analytics workloads to sustain market demand for Arteris technology.
  • Potential integration challenges or delays in commercial deployment of Speedata’s APUs that could affect revenue expectations.
  • Competitive pressures in semiconductor IP and AI processor markets could limit market share growth for Arteris and Speedata.

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