Samsung Exynos 2500 Might Feature Google-designed TPU for Enhanced AI Functionality
A recent leak from X poster Connor/콘어/コナー suggests that Samsung’s Exynos 2500 chipset, slated for integration into next year’s Galaxy S25 series, will boast enhanced AI functionality. Notably, the chipset will incorporate a Tensor Processing Unit (TPU) designed by Google, marking a significant advancement in Samsung’s AI capabilities.
Samsung Exynos 2500 with Google TPU?
The TPU, a staple of Google’s Pixel phones and Tensor chipsets, serves as a dedicated AI accelerator. Leveraging Google’s machine learning APIs, devices equipped with the Exynos 2500 will be empowered to run AI models directly on the device, reducing reliance on cloud-based AI processing.
In addition to the TPU, the Exynos 2500 is reported to feature two Neural Processing Units (NPU) – the G-NPU and S-NPU. While the G-NPU is a versatile, general-purpose NPU, the S-NPU is optimized for specific tasks. This dual-NPU configuration underscores Samsung’s commitment to AI-driven innovations.
Contrary to previous rumors, which suggested exclusive use of Exynos chips in the Galaxy S25 series, recent reports indicate that both Exynos 2500 and Snapdragon 8 Gen 4 chips will be utilized. Qualcomm’s AI Engine, although distinct from Google’s TPU, promises substantial AI acceleration capabilities.
Fabbed on Samsung’s second-generation 3nm node, the Exynos 2500 is expected to deliver superior performance and efficiency. Paired with a Cortex-X5 CPU, multiple A730 cores, and an Xclipse 950 GPU, this chipset is poised to elevate the AI experience on Samsung’s flagship devices.
The integration of Google’s TPU into the Exynos 2500 signifies a strategic collaboration between two tech giants, promising groundbreaking advancements in AI technology. As details continue to emerge, anticipation mounts for the unveiling of the Galaxy S25 series and its innovative chipset. Stay tuned for further updates on Samsung’s AI-driven developments.
Pokdepinion: If it brings a notable improvement for AI performance, I don’t see why not. Would be a smart move, especially given how important AI has become in recent years, and I’m sure they’re looking to expand its capabilities as well.
