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# BeagleV-Ahead
* T-Head TH1520 AI processor
* T-Head TH1520 AI system-on-chip processor
* Quad-core XuanTie C910 open-source RTL RISC-V (RV64GCV ISA) CPU @ 2GHz
* 3 issue, 8 instruction, 9-12 stage pipeline
* In-order fetch, out-of-order launch, out-of-order completion and in-order retirement
* 64KB I-cache, 64KB D-cache per core
* AI NPU with 4TOPS INT8 @ 1GHz
* Support for TensorFlow, ONNX, Caffe
*
*
## Priorities
* Feature extraction accelerator
* Image signal processor
* H.264/H.265/JPEG video encoder and decoder
* 2D accelerator
* 3D Vulkan/OpenCL/OpenGLES accelerator (IMG?)
* C906-based (RV64IMA\[FD]C\[V] ISA) audio processor subsystem
* 4GB LPDDR4
* 16GB eMMC
* BeagleBone AI-64 form-factor open-source development board
* 2xSuperSpeed-USB type-A host (stacked)
* USB type-C dual-role with power input (no power output)
* Gigabit Ethernet with speed/connection indicators
* HDMI type-A connector
* M.2 E-key with PCIe and HighSpeed-USB
* uSD card cage
* 2xCSI ribbon cable connectors
* 1xDSI ribbon cable connector
* 2x46-pin expansion headers with 4-pin HS-USB extension
* 2x8-pin "mikroBus shuttle" ribbon-cable connector for audio and sensors
* 3-pin TTL-level debug UART connector
* Fan power connector (fan is optional)
* 6x LEDs (1 power, 5 programmable)
* 3x push-buttons (power, reset, boot/user)
* 5V barrel jack
* BeagleBoard.org Debian Linux image
* Tracking mainline u-boot/kernel with T-Head patches as needed
* Package feeds for custom binaries for TensorFlow Lite, etc.
* Familiar and flexible graphical user interface environment
* Self-hosted Visual Studio Code IDE via web-browser
* USB-based virtual network for "single-cable development"