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From LLMs to image generation: Accelerate inference workloads with AI Hypercomputer

  • Organizations are increasingly using LLM-based applications, with 78% in development or production.
  • Google Cloud introduced the AI Hypercomputer with Ironwood, a TPU designed for inference.
  • Updates to AI Hypercomputer's inference capabilities include GKE Inference Gateway and Quickstart.
  • Google focuses on performance optimization with benchmarks like JetStream and MaxDiffusion.
  • JetStream, an open-source inference engine, offers high throughput and low latency for LLMs on TPU.
  • Pathways runtime enables multi-host inference and disaggregated serving for large models.
  • Osmos leverages TPUs for cost-efficient inference at scale, achieving industry-leading performance.
  • MaxDiffusion supports compute-heavy workloads like image generation, delivering high throughput on Trillium.
  • A3 Ultra and A4 VMs show competitive performance in MLPerf Inference v5.0, powered by NVIDIA GPUs.
  • AI Hypercomputer with hardware advancements and software innovations is driving AI breakthroughs in inference.

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