Why the PowerVR 2NX NNA is the future of neural net acceleration
For many, PowerVR is closely associated with graphics technology, from the early days of desktop PC gaming to arcade consoles, and later to home consoles and then, of course, to mobile. Indeed, we’ve recently celebrated our 25th anniversary in a series of blog posts. However, PowerVR also includes a range of other IP for vision and AI applications.
This week, PowerVR is adding to its proud history with the addition of an entirely new category of IP – a hardware neural network accelerator: introducing the PowerVR 2NX. We have dubbed this a Neural Network Accelerator (NNA), offering a full hardware solution built from the ground up to support many neural net models and architectures as well as machine learning frameworks, such as Google’s TensorFlow and Caffe, at an industry-leading level of performance and low power consumption.
To read the full article, click here
Related Semiconductor IP
- DSP-Based 112G SerDes
- XTAL oscillator in TSMC-7nm
- GPU
- V-by-One Verification IP
- AI model compression IP
Related Blogs
- PowerVR Series8XT: pushing power efficiency to the next level
- PowerVR virtualization and the Series8XT: geared for automotive
- Bringing surround view to the automotive masses with PowerVR
- PowerVR Series2NX: Raising the bar for embedded AI
Latest Blogs
- World's First Standards-Compliant 112G PHY IP for Linear Optics: A Turning Point for AI Interconnects
- One Key for Every Door: How Aliro Extends the UWB Digital Key Beyond the Car
- Reprogrammable Post-Quantum Security for SoCs: Why Crypto-Agility Matters
- Designing the Beam Steering Core for a C-Band AESA: A Look at VSI's VBF0644 GaAs Beamformer IC
- Secure Boot for embedded systems: Building a complete chain of trust