VPU IP
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13
IP
from 7 vendors
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10)
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VPU R3.0 on Artix 7 100T
- Video processing system suitable for high-speed, high resolution video systems
- HDMI Full-HD (1920x1080p) input & output at 60fps
- High-speed processing at 60fps
- Uses FPGA for parallel processing
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VPU R1.0 on Artix 7 200T
- Video processing system suitable for high-speed, high resolution video systems
- HDMI Full-HD (1920x1080p) input & output at 60fps
- High-speed processing at 60fps
- Uses FPGA for parallel processing
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VPU R2.6 on Artix 7 200T
- Video processing system suitable for high-speed, high resolution video systems
- HDMI Full-HD (1920x1080p) input & output at 60fps
- High-speed processing at 60fps
- Uses FPGA for parallel processing
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VPU R3.0 on Artix 7 200T
- Video processing system suitable for high-speed, high resolution video systems
- HDMI Full-HD (1920x1080p) input & output at 60fps
- High-speed processing at 60fps
- Uses FPGA for parallel processing
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Vector Unit
- 64-bit
- FP & Int, 8b to 64b
- DLEN up to 2048b
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High Bandwidth In-Order RISC-V IP Core
- Decodes 2 instructions/cycle
- In-order issue
- Gazzillion Misses™
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64-bit RISC-V Multicore Processor with 1024-bit Vector Extension
- 64-bit in-order dual-issue 8-stage CPU core with up to 1024-bit Vector Processing Unit (VPU)
- Symmetric multiprocessing up to 8 cores
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High performance dual-issue, out-of-order, 7-stage Vector processor (DSP) IP
- Design Flexibility
- Portability
- Ease of programmability
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Scalable Edge NPU IP for Generative AI
- Ceva-NeuPro-M is a scalable NPU architecture, ideal for transformers, Vision Transformers (ViT), and generative AI applications, with an exceptional power efficiency of up to 3500 Tokens-per-Second/Watt for a Llama 2 and 3.2 models
- The Ceva-NeuPro-M Neural Processing Unit (NPU) IP family delivers exceptional energy efficiency tailored for edge computing while offering scalable performance to handle AI models with over a billion parameters.
