Shrinking LLMs with Self-Compression
Discover how Self-Compression effectively reduces language model sizes, enhancing efficiency for on-device inference while maintaining predictive quality, ideal for resource-limited settings.
Vendor:
Imagination Technologies Group Ltd.
Category:
NPU
PowerVR Neural Network Accelerator - The perfect choice for cost-sensitive devices
With 4.0 TOPS in a smaller silicon area than its predecessor, the PowerVR AX3385 is suitable for high-end smartphones, smart came…
Overview
With 4.0 TOPS in a smaller silicon area than its predecessor, the PowerVR AX3385 is suitable for high-end smartphones, smart cameras and DTV/set-top box. It can be used for video stream analysis, consumer engagement, advertising or content-aware devices, or demographic sensing for targeted TV advertising
Key features
- API support
- IMG DNN API
- Android NN HAL
- Framework Support
- Caffe
- TensorFlow
- Bus interface
- AXI4
- Memory system
- Virtual Memory
- TOPS
- 4.0 TOPS
- MACs per clock rate
- 8-bit: 2048 MACs/clk
- 16-bit: 512 MACs/clk
- Architecture
- PowerVR Series3NX
- Markets
- High-end smartphone
- Smart camera
- DTV and set-top box
- Features
- Security
- Lossless weight compression
Specifications
Identity
Part Number
PowerVR AX3385
Vendor
Imagination Technologies Group Ltd.
Type
Silicon IP
Files
Note: some files may require an NDA depending on provider policy.
Provider
Learn more about NPU IP core
Embarrassingly Parallel Problems: Definitions, Challenges and Solutions
Frequently asked questions about NPU IP cores
What is PowerVR Neural Network Accelerator - The perfect choice for cost-sensitive devices?
PowerVR Neural Network Accelerator - The perfect choice for cost-sensitive devices is a NPU IP core from Imagination Technologies Group Ltd. listed on Semi IP Hub.
How should engineers evaluate this NPU?
Engineers should review the overview, key features, supported foundries and nodes, maturity, deliverables, and provider information before shortlisting this NPU IP.
Can this semiconductor IP be compared with similar products?
Yes. Buyers can compare this product with similar semiconductor IP cores or IP families based on category, provider, process options, and structured technical specifications.