Ceva Seeks To Exploit Synergies in Portfolio with Nano NPU
By Sally Ward-Foxton, EETimes (December 20, 2024)
Munich, GERMANY — As part of its transition back to a pure-play IP company, Ceva officially launched its NeuPro-Nano earlier this year. The company had already transitioned from a telephone handset DSP IP company before buying aerospace and defense chip designer Intrinsix in 2021. Following the appointment of new CEO Amir Panush at the beginning of 2023, Ceva sold Intrinsix to Cadence 9 months later to focus its efforts entirely on licensing IP and related software.
“We saw that many workloads are moving downstream—we have many customers in the MCU space that used to buy our Bluetooth, WiFi and recently UWB IP, and they are now coming and saying we need some form of AI,” Moshe Sheier, VP of marketing at Ceva, told EE Times.
To read the full article, click here
Related Semiconductor IP
- NPU IP for Embedded AI
- NPU
- Image Processing NPU IP
- Optional extension of NPX6 NPU tensor operations to include floating-point support with BF16 or BF16+FP16
- NPU IP for Data Center and Automotive
Related News
- Ceva and Edge Impulse Unveil Enhanced Computer Vision Model for the Ceva-NeuPro™-Nano NPU IP Supported by NVIDIA’s TAO Toolkit
- CEVA Doubles Down on Generative AI with Enhanced NeuPro-M NPU IP Family
- Ceva Expands AI Ecosystem for its Class-Leading NPU IP with New Partnerships for Automotive and Edge AI
- Chips&Media Signs $5 Million IP License Agreement, Marking First NPU IP Contract
Latest News
- RaiderChip NPU for LLM at the Edge supports DeepSeek-R1 reasoning models
- The world’s first open source security chip hits production with Google
- ZeroPoint Technologies Unveils Groundbreaking Compression Solution to Increase Foundational Model Addressable Memory by 50%
- Breker RISC-V SystemVIP Deployed across 15 Commercial RISC-V Projects for Advanced Core and SoC Verification
- AheadComputing Raises $21.5M Seed Round and Introduces Breakthrough Microprocessor Architecture Designed for Next Era of General-Purpose Computing