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Vendor:
Batik Semiconductor
Category:
NPU
Configurable CNN accelerator
Overview
VisionNet v1.0 is a configurable CNN accelerator IP designed to deliver efficient edge inference for vision workloads. It combines flexible compute, optimized data movement, and deployment ready implementation support to help accelerate modern AI vision pipelines.
It targets fast, efficient vision workloads, including classification and object detection, and supports models such as LeNet-5, AlexNet, VGG-16, ResNet-50, and custom models up to 8-bit precision. The product is ready for tape out with technology independent and will keep update with the latest efficience model.
Key features
- Configurable CNN
- FPGA/ASIC ready
- Low Bit Support (INT-8)
- On-chip SRAM
- Low latency
- Low power
- Layer Fusion
Block Diagram
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Specifications
Identity
Part Number
VisionNet v1.0
Vendor
Batik Semiconductor
Type
Silicon IP
Application
Edge AI
Provider
Batik Semiconductor
HQ:
Indonesia
We specialize in designing and developing advanced IP cores for AI accelerators, optimizing AI inference at the edge with low-power, high-performance solutions. By providing researchers and industries with state-of-the-art IP, we empower them to drive innovation, accelerate development, and address complex challenges with highly efficient AI technology.
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Frequently asked questions about NPU IP cores
What is Configurable CNN accelerator?
Configurable CNN accelerator is a NPU IP core from Batik Semiconductor 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.