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The GenAI v1 is a cutting-edge hardware core developed by RaiderChip specifically engineered to meet the rigorous demands of generative AI workloads, often considered the most challenging. This IP core excels in optimizing efficiency for AI inference, breaking through traditional limitations by improving memory utilization and processing speed. Designed for deployment across a wide range of FPGA devices, particularly the AMD Versal series, it offers impressive speed in AI processing while maintaining low power consumption. The GenAI v1 has been proven effective in various cloud environments, notably on AWS F1 instances, where it demonstrates superior capabilities running complex LLM models like Meta's Llama series. Its architecture, which incorporates advanced parallel processing and optimized memory bandwidth utilization, promises enhanced performance metrics, ensuring it outpaces competitors significantly.
The GenAI v1-Q represents an enhancement over the basic GenAI v1 core, with added support for quantization capabilities, specifically 4-bit and 5-bit quantization. This significantly reduces memory requirements, potentially by as much as 75%, facilitating the execution of large language models within smaller, more cost-effective systems without sacrificing speed or accuracy. The reduced memory usage translates to lower overall costs and diminished energy consumption while maintaining the integrity and intelligence of the models. Designed for seamless integration into various devices, the GenAI v1-Q also ensures compatibility with diverse memory technologies, making it a versatile choice for applications demanding efficient AI performance.
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