Google Launches the Most Powerful Tensor Processing Unit, Ironwood
Ironwood- Google makes another breakthrough in AI by unveiling its first powerful Tensor Processing Unit (TPU) at the annual conference of Cloud Next 25. The seventh-generation AI accelerator chip is designed especially for inference and is set to offer enhanced scalability and energy efficiency. It is additionally created to support the next phase of generative AI and substantial computational demands.
According to Google, “Ironwood is our most powerful, capable and energy efficient TPU yet, designed to power thinking, inferential AI models at scale.”
Complimenting Google’s usage of TPUs and enabling Cloud users to optimize their workload, Ironwood follows a purpose-built framework to inference and scale AI models at the same time. The accelerator will be available in two dimensions- 256 and 9,216 chip configurations. With a high bandwidth ICI network and low latency, the TPU supports enhanced computational demands.
Ironwood can perform variedly according to the workload demands. With 9,216 chip configurations per pod, the AI accelerator can surpass the largest supercomputer, El Capitan’s computational power, by over 24 times. Furthermore, every configuration chip can reach 4,614 TFLOPs with advanced thinking abilities for larger models of MoE and LLM.
By fulfilling the complicated computational demands of thinking models, such as LLMs and Mixture of Experts (MoEs), the AI accelerator can support advanced reasoning challenges. Alongside that, TPU focuses on workload requiring recommendation and advanced ranking by integrating a specialized accelerator, SparseCore.
What Features Does Google’s Ironwood Offer?
Ironwood’s capabilities will not only support the high computational workloads of LLMs but also be beneficial for regular, global-level activities carried out on Google Cloud. Below are the key features of this TPU:
- Higher performance supports AI workloads alongside power and cost efficiency.
- Significant enhancement of High Bandwidth Memory (HBM) density up to 192 GB/chip.
- Remarkably higher HBM bandwidth exceeding 7.2 Tbps/chip.
- Elevated Inter-Chip Interconnect (ICI) communication rate.
Tech giant Google has unveiled Ironwood as one of the crucial elements of the Hypercomputer architecture of Google Cloud AI. The AI accelerator will further enable developers to utilize Google’s Pathways software suite for increasingly reliable and easy development experience.
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