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# TPU 8tx

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  1. AMD Newsroom

    Google Cloud's first TPU with hardware-enforced confidential computing runs on 5th Gen AMD EPYC hosts

    AMD says its 5th Gen EPYC processors provide the host infrastructure for Google Cloud TPU 8tx, the first cloud TPU system to deliver hardware-enforced confidential computing. Previously, Google Cloud's confidential computing portfolio covered CPU-side workloads such as Confidential VMs, Confidential GKE and Confidential Space, not confidential AI acceleration. TPU 8tx uses EPYC's Secure Encrypted Virtualization to extend protection to connected accelerators, keeping prompts, model weights and intermediate data encrypted in CPU memory and in transit, with hardware isolation during accelerator execution, for enterprise inference, fine-tuning and reinforcement learning workloads.

  2. blog.google

    Google adds TPU 8i Max and 8tx to its eighth generation: million-token context and confidential inference in one year

    Google has added two systems to its eighth-generation TPU line: TPU 8i Max, aimed at very long context windows and the highest compute density per rack, and TPU 8tx, aimed at secure and confidential inference. The same generation already included TPU 8t for large-scale training and TPU 8i for real-time reasoning, which Google says deliver up to 2.7 times better training performance and 80% better inference price performance than the previous generation. The new systems keep the modular custom-silicon plus open-software-stack approach, rebuilding compute, networking and storage around the chip to ship specialized supercomputers in months rather than years.

  3. Google Cloud's first TPU with hardware-enforced confidential computing runs on AMD's 5th Gen EPYC host CPUs

    AMD says its 5th Gen EPYC processors provide the host infrastructure for Google Cloud TPU 8tx, the first cloud TPU system to deliver hardware-enforced confidential computing. Previously cloud TPUs lacked that protection; the design extends AMD Secure Encrypted Virtualization from the CPU to connected accelerators, keeping prompts, model weights and intermediate data encrypted in CPU memory and in transit, with hardware isolation during accelerator execution. The capability targets production inference, fine-tuning and reinforcement learning workloads, and AMD says EPYC is the host CPU choice across more than 10 leading hyperscalers and frontier AI labs.

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