Vendor: RaiderChip Category: Edge AI Accelerator

Embedded AI accelerator IP

The GenAI IP is the smallest version of our NPU, tailored to small devices such as FPGAs and Adaptive SoCs, where the maximum Fre…

Overview

The GenAI IP is the smallest version of our NPU, tailored to small devices such as FPGAs and Adaptive SoCs, where the maximum Frequency is limited (<=250 MHz) and Memory Bandwidth is lower (<=100 GB/s).

Key features

  • Fully reprogrammable solutions: Flexible updates and adjustments, ensuring maximum technological adaptability.
  • Autonomy in remote environments: Stable operation, forget variable connectivity latency and availability.
  • Offline Generative AI: Designed to operate independently: no security breaches, no subscriptions, no dependencies.
  • Any AI models, plus yours: Run commercially licensed as well as open-source LMs, or deploy fine-tuned/post-trained versions tailored to your specific needs.

Block Diagram

Files

Note: some files may require an NDA depending on provider policy.

Specifications

Identity

Part Number
GenAI IP
Vendor
RaiderChip

Provider

RaiderChip
HQ: Spain
At RaiderChip, we draw upon our extensive history of designing high-performance, low-power, and maximally efficient hardware solutions. The deep technical expertise developed over more than two decades forms the cornerstone of our approach to AI accelerator technology. Our team’s ability to engineer solutions that push the boundaries of processing speed and efficiency directly translates into the advanced capabilities of our AI accelerators today. Our commitment is to continue this tradition of excellence by providing cutting-edge AI technologies that are not only powerful but also optimized for efficiency and throughput, catering to the high demands of modern AI applications across various sectors.

Learn more about Edge AI Accelerator IP core

RISC-V Based TinyML Accelerator for Depthwise Separable Convolutions in Edge AI

While lightweight architectures like MobileNetV2 employ Depthwise Separable Convolutions (DSC) to reduce computational complexity, their multi-stage design introduces a critical performance bottleneck inherent to layer-by-layer execution: the high energy and latency cost of transferring intermediate feature maps to either large on-chip buffers or off-chip DRAM. To address this memory wall, this paper introduces a novel hardware accelerator architecture that utilizes a fused pixel-wise dataflow.

Accelerating Your Development: Simplify SoC I/O with a Single Multi-Protocol SerDes IP

Enter the Multi-Protocol SerDes (Serializer/Deserializer)—a flexible, reusable IP block that allows a single PHY to support multiple serial communication protocols, such as PCIe, SATA, Ethernet, USB, and more. This approach enables SoC vendors to meet diverse customer requirements and application needs without redesigning I/O for each target market.

Frequently asked questions about Edge AI Accelerator IP cores

What is Embedded AI accelerator IP?

Embedded AI accelerator IP is a Edge AI Accelerator IP core from RaiderChip listed on Semi IP Hub.

How should engineers evaluate this Edge AI Accelerator?

Engineers should review the overview, key features, supported foundries and nodes, maturity, deliverables, and provider information before shortlisting this Edge AI Accelerator 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.

×
Semiconductor IP