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