VPU IP
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12
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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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Via-PUF Security Chip for Root of Trust
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The vPUF® IP, powered by Via PUF (Physically Unclonable Function) technology, provides a unique silicon fingerprint for inborn identity function, essential for the Root of Trust in security applications
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Fully-custom RISC-V Vector Unit
- A Vector Unit is composed of several "Vector Cores", roughly equivalent to a GPU Core, that perform multiple calculations in parallel.
- Each Vector Core has arithmetic units capable of performing addition, subtraction, fused multiply-add, division, square root, and logic operations.
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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.
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64-bit CPU with RISC-V Vector Extension
- AndeStar™ V5 Instruction Set Architecture (ISA), compliant to RISC-V technology
- RISC-V vector extension