Easy EAI RV1126B Development Board core Board 3T Computing Power NPU Open Source Hardware Linux Embedded ARM (1G+64G Dev Board)
Status: Easy EAI RV1126B Development Board core Board 3T…: Unavailable on Amazon as of . SpecPicks has no in-stock listing with matching specs on file; the search below lists current offers. eBay sellers may still list this model new or used.
Bottom line: The Easy EAI RV1126B Development Board core Board 3T Computing Power NPU is a specs-and-price decision rather than a crowd-consensus one in the ai accelerators category. Check the specification table below against one or two close alternatives — on price and spec fit, not on star ratings.
As an Amazon Associate, SpecPicks earns from qualifying purchases. Full disclosure →
Pros & Cons
Pros
- ✓ Backed by Generic's warranty and support channels
Cons
- ✗ Confirm socket / form-factor / power-rating compatibility against your build before ordering
- ✗ Price, stock, shipping and returns are set by the retailer and may have changed since this page was last updated
Manufacturer description
EASY-EAI-Nano-TB Developed by EASY EAI Technology, the EASY-EAI-Nano-TB is a development board designed for the AIoT field. The core board is built around Rockchip's RV1126B processor, which integrates 4 Cortex-A53 cores and an independent NEON coprocessor. It supports a 4K@30fps H.264/H.265 decoder and a 4K@30fps H.264/H.265 encoder. Additionally, it incorporates a new-generation, fully hardware-based ISP (Image Signal Processor) with a maximum resolution of 12 megapixels, enabling a variety of algorithm accelerators such as HDR, 3A (Auto Exposure, Auto White Balance, Auto Focus), LSC (Lens…
SpecPicks Verdict
SpecPicks scored Easy EAI RV1126B Development Board core Board 3T Computing Power NPU… using a rating × review-volume × price-fit model applied to published specs and reviews across the ai accelerators category. Generic's ai accelerators lineup sits within the broader category mid-tier; price and specs are the deciding factors over brand loyalty here. Judge it on the specification table and the price rather than on sentiment: check the figures that decide your use case, then put it side-by-side with two or three close alternatives in the Compare tool before clicking through.
Common buyer scenarios for ai accelerators of this kind: matching it to an existing build, replacing a failing part, or upgrading from a previous-generation equivalent. Check the spec table below against your current setup — particularly socket / form-factor / power-rating fields — and confirm compatibility on the retailer's listing before purchase. Prices and stock are set by the retailer and may have moved since this page was last updated.
Key Features
- The quad-core Cortex-A53 processor has a maximum clock speed of up to 1.6 GHz.The based on the domestic high-end processor RV1126B, providing efficient and stable performance for embedded applications.
- Supports 12MP ISP + 8MP AI-ISPInnovative AOV3.0 Technology Breaks through the computing power limitations of traditional solutions, does not occupy 3TOPS NPU resources when running AI-ISP, and saves bandwidth and power consumption. The efficient hardware video codec supports ultra-high-definition encoding and multi-stream decoding It has 4K@30fps H.264/H.265 hardware encoding and decoding capabilities Day-Night Dual-Mode Adaptation Through AI Remosaic technology, the "Day-Night Dual-Mode Adaptation" function is realized, which can present ultra-high-definition image quality whether it is daytime or nighttime.
- The onboard 3TOPS independent NPU easily achieves trillion operations per secondThe EA11126B-Core-T features an onboard 3TOPS independent NPU,which can easily achieve trillion operations per second with extremely low power consumption. It can smoothly run various AI algorithms such as face recognition, safety helmet recognition, and license plate recognition.
- Comprehensive upgrade of data security The EASY-EAI-Nano-TB not only has a built-in national cryptographic level security solution but also supports various encryption algorithms such as SM2/SM3/SM4.
- Abundant interface resources The EAI1126B-Core-T core board adopts a board-to-board package interfaceSmaller in size and lower overall board heightIn terms of peripheral interfaces, it has rich interfaces such as Gigabit Ethernet port, CAN-FD, USB3.0, MIPI-DSI, I2C, SPI, UART, ADC, PWM, SDIO, I2S, GPIO, etc., which can meet the application needs of more scenarios
- Supports multi-channel image panoramic stitchingSupports 2-channel MIPI-CSI cameras for AVS (Any View Stitching) panoramic stitching, and outputs the stitched images as a single complete image
Full Specifications
| ASIN | B0FSXH15K3 |
|---|---|
| Brand | Generic |
| CPU Speed | 1.6 GHz |
| Model Name | EASY EAI Nano-TB |
| Item Weight | 50 Grams |
| Manufacturer | EASY EAI |
| Model Number | 1G+64G Dev Board |
| Built-In Media | Dev Board |
| Processor Brand | EASY EAI |
| Processor Speed | 1.6 GHz |
| Total Usb Ports | 2 |
| Compatible Devices | Personal Computer, Microcontrollers (Arduino, Raspberry Pi models), Programmable Logic Devices |
| Warranty Description | 18 months |
| Wireless Compability | Bluetooth |
| RAM Memory Technology | DDR4 |
| Connectivity Technology | linux |
| Memory Storage Capacity | 64 GB |
| Item Dimensions L x W x H | 4.8"L x 3.54"W x 0.8"H |
Ready to buy?
Easy EAI RV1126B Development Board core Board 3T Computing Power NPU Open Source Hardware Linux Embedded ARM (1G+64G Dev Board) is listed on Amazon. Price, availability, shipping and returns are set by Amazon and its sellers — check the listing for current terms. SpecPicks earns a small commission on qualifying purchases — thank you for supporting independent review work.
Related AI Accelerators
More guides & deep dives from the SpecPicks archive
Browse all articles & guides →- RTX 4070 Super vs RX 7800 XT — Which to Buy in 2026
- The Complete Voodoo5 5500 AGP Driver Guide (2026 Edition)
- Best 1440p Gaming GPUs in 2026
- Best Retro Handhelds in 2026 — From $35 to $500
- How to Build a Windows 98 Retro PC in 2026
- Best Budget Gaming PC Build 2026 — ~$1,000 ($800 on Sale)
- Emulation Hardware in 2026: FPGA, Software, and Cart-Reader Ecosystems
More reviews from the SpecPicks archive
Browse all reviews →- Best PC Cooling Solutions for AM4 and AM5 Builds in 2026
- Build a Raspberry Pi Zero W Cyberdeck in 2026: BOM + Wiring Guide
- Claude Code Cut 80% of Its System Prompt: What Changes for Local Agent Rigs
- Anker's Thus Chip Claims 150x AI Boost: No Benchmarks Yet
- Self-Hosted Jellyfin on a Raspberry Pi 4 8GB: What 1080p Transcoding Really Costs
- RTX 3060 12GB vs Intel Arc B580 for Stable Diffusion
- Ryzen AI Max 400 'Gorgon Halo': 192GB Unified Memory vs an RTX 3060 for Local LLMs
- $400 Qwen 3.6-27B Setup: Is the Dual RTX 3060 Claim Real?
- Best Gaming Mouse Pad for Competitive FPS in 2026: 5 Picks Ranked by Glide, Tracking, and Sweat Resistance
- Intel Arc AI Inference: 2025 Performance & Setup Guide
- Self-Host Jellyfin and Home Assistant on a Raspberry Pi 4 8GB in 2026
- Samsung Winds Down Chip Output Before Strike — Brace for SSD Prices
- Zero-CPU-Overhead OV7725 Camera Streaming on RP2350
- Ryzen AI Max vs RTX 40 Series: Which Wins for AI and Gaming?
- Add NVMe Boot and Active Cooling to a Raspberry Pi 5 in 2026
- Intel Arc LLM Performance: A770, B580 & Pro B60 Guide 2025
- Claude Sonnet 5: What Shipped and What It Means for Local Rigs
- Run Text-to-SQL Locally on a 12GB GPU After Gemini-SQL2
- Direct3D vs OpenGL vs Glide: The API War That Shaped PC Gaming
- Intel Arc AI Performance: What Works for Inference in 2026
- Qwen3.6 27B on a Single RTX 3060 12GB: Why MTP Drops Context From 137K to 14K
- How to run DeepSeek-R1 32B on NVIDIA GeForce RTX 4090
- Best CPU Coolers for a Quiet Ryzen Gaming PC in 2026
- Grok Imagine 1.5 Brings 720p Image-to-Video — Can You Run It Locally?
Earliest SpecPicks reviews
Browse full archive →- Best GPU for Llama 3.1 8B (2026)
- Best GPU for Qwen 3 14B (2026)
- Best GPU for Qwen 3 32B (2026)
- Best GPU for Llama 3.1 70B (2026)
- Best GPU for DeepSeek-R1 32B (2026)
- Best GPU for Llama 3.1 405B (2026)
- How to run Llama 3.1 8B on NVIDIA GeForce RTX 5090
- How to run Qwen 3 14B on NVIDIA GeForce RTX 5090
- How to run Qwen 3 32B on NVIDIA GeForce RTX 5090
- How to run Llama 3.1 70B on NVIDIA GeForce RTX 5090
- How to run DeepSeek-R1 32B on NVIDIA GeForce RTX 5090
- How to run Llama 3.1 8B on NVIDIA GeForce RTX 4090