EdgeCortix SAKURA™-I

Energy-efficient Edge AI Co-Processor

Supported Frameworks & Applications

Deep learning accelerator ASIC for fast, efficient AI inference co-processing in boards and systems

EdgeCortix SAKURA-I is a single-chip 40 TOPS (dense) implementation of EdgeCortix Dynamic Neural Accelerator IP. Its edge AI co-processor core is run-time reconfigurable using the EdgeCortix MERA compiler and software framework. This enables multiple deep neural network models running concurrently while maintaining critical performance characteristics.

High Utilization
+80% for concurrent neural network models
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Low Latency
< 4 msec when under demanding workloads.
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Excellent Efficiency
16x inference/sec/W of NVIDIA Jetson AGX
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Ready for high-resolution data streams

SAKURA-I is designed for applications needing fast AI inference on streaming data, such as high-resolution video feeds. It is implemented in TSMC 12nm FinFET, packing excellent AI inference performance into a small footprint. Using this advanced process also ensures long-term ASIC availability for extended life cycles typical in defense, industrial, and other application segments.

Hardware Architecture Overview

  • Up to 40 TOPS (dense) [single chip] and 200 TOPS [multi-chip]
  • Run-time reconfigurable datapath
  • PCIe Device Nominal Power ~8W
  • Typical ASIC power consumption ~5W
  • On-chip 2x64 LPDDR4x – 16 GB
  • PCIe Gen 3 up to 16 GB/s bandwidth
  • JTAG
  • SPI
  • QSPI
  • Temperature Sensor
EdgeCortix SAKURA is an edge AI co-processor built in TSMC 12nm FinFET, delivering 40 TOPS @ 800 MHz in a TDP of 10W

Get the details in the SAKURA-I product brief


Powerful AI inference for industrial segments including:

  • Augmented and Virtual Reality
  • Automotive Sensing
  • Communications
  • Defense
  • Smart Cities
  • Smart Manufacturing

SAKURA-I PCIe Low Profile Development Card

EdgeCortix SAKURA-I is available on a PCIe Low Profile development card, ready to drop into a host for software development and AI model inference tasks.


Given the tectonic shift in information processing at the edge, companies are now seeking near cloud level performance where data curation and AI driven decision making can happen together. Due to this shift, the market opportunity for the EdgeCortix solutions set is massive, driven by the practical business need across multiple sectors which require both low power and cost-efficient intelligent solutions. Given the exponential global growth in both data and devices, I am eager to support EdgeCortix in their endeavor to transform the edge AI market with an industry-leading IP portfolio that can deliver performance with orders of magnitude better energy efficiency and a lower total cost of ownership than existing solutions."

Akira Takata
Former CEO of MegaChips Corporation

Improving the performance and the energy efficiency of our network infrastructure is a major challenge for the future. Our expectation of EdgeCortix is to be a partner who can provide both the IP and expertise that is needed to tackle these challenges simultaneously."

Ryuji Wakikawa
Head, Research Institute of Advanced Technology at SoftBank Corp

With the unprecedented growth of AI/Machine learning workloads across industries, the solution we're delivering with leading IP provider EdgeCortix complements BittWare's Intel Agilex FPGA-based product portfolio. Our customers have been searching for this level of AI inferencing solution to increase performance while lowering risk and cost across a multitude of business needs both today and in the future."

Craig Petrie
VP, Sales and Marketing at BittWare

EdgeCortix is in a truly unique market position. Beyond simply taking advantage of the massive need and growth opportunity in leveraging AI across many business key sectors, it’s the business strategy with respect to how they develop their solutions for their go-to-market that will be the great differentiator. In my experience, most technology companies focus very myopically, on delivering great code or perhaps semiconductor design. EdgeCortix’s secret sauce is in how they’ve co-developed their IP, applying equal importance to both the software IP and the chip design, creating a symbiotic software-centric hardware ecosystem, this sets EdgeCortix apart in the marketplace.”

President & CEO of Trust Capital Co., Ltd., member of the Executive Committee of Silicon Valley Japan Platform

We recognized immediately the value of adding the MERA compiler and associated tool set to the RZ/V MPU series, as we expect many of our customers to implement application software including AI technology. As we drive innovation to meet our customer's needs, we are collaborating with EdgeCortix to rapidly provide our customers with robust, high-performance and flexible AI-inference solutions. The EdgeCortix team has been terrific, and we are excited by the future opportunities and possibilities for this ongoing relationship."

Shigeki Kato
Vice President, Enterprise Infrastructure Business Division

Learn more about SAKURA-I now