Core Insights - Imagination Technologies has released its new generation GPU IP, the Imagination E series, which significantly enhances performance and efficiency compared to previous architectures [5][21] - The E series features a modernized architecture that improves energy efficiency by 35% and reduces data transmission latency through a shorter pipeline design [6][10] - The AI architecture of the E series integrates AI units directly with traditional graphics processing units, allowing for dynamic configuration based on workload demands [17][20] Group 1: Architectural Improvements - The Imagination E series adopts a new architecture that shortens the pipeline depth of ALUs, enhancing instruction hit rates and reducing latency [6][10] - This design shift reflects a return to a more modern architecture, moving away from the long VLIW pipeline previously used by Imagination [8][10] - The architecture allows for a unified design where each USC can function as either a graphics or AI processing unit, optimizing resource usage [20] Group 2: AI Integration - Imagination's AI unit design categorizes existing GPU AI units into four levels, with the E series representing a more integrated approach [11][14] - The E series eliminates the bandwidth competition between AI and graphics tasks by allowing all USCs to switch roles as needed, thus improving efficiency [20] - This innovative design aims to reduce power consumption and hardware costs while maintaining high performance across both graphics and AI workloads [20] Group 3: Performance Metrics - The E series offers a wide range of hardware configurations, with a minimum setup providing 8 GPixel/s and 0.25 TFLOPS of 32-bit floating-point performance [21] - At maximum specifications, the E series can achieve 400 GPixel/s and 12.8 TFLOPS of 32-bit floating-point performance, positioning it competitively against existing GPUs [24] - The potential performance of the E series in mobile and desktop applications aligns with current market trends, supporting various domestic GPU development initiatives [26][29]