Cloud Next: Google unveils Ironwood, its seventh-generation TPU and the first for inference, coming later in 2025 in a 256-chip cluster or a 9,216-chip cluster
During its Cloud Next conference this week, Google unveiled the latest generation of its TPU AI accelerator chip.
TechCrunch Kyle Wiggers
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Discussion
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@timkellogg.me
Tim Kellogg
on bluesky
Google's TPU v7: Ironwood — A massive hardware leap — 4,614 TFLOPS per chip — 256 or 9,216 chips per pod — 192 GB HBM(emory) per chip @ 7.2 Tbps — ICI (inter-chip interconnect) @ 1.2 Tbps — SparseCore for ultra large embeddings — blog.google/products/goo... [image]
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@officiallogank
Logan Kilpatrick
on x
Introducing Ironwood, the first TPU built for the age of inference, and the timing could not be better : ) - Ironwood perf/watt is 2x relative to Trillium, 6th gen TPU - Ironwood offers 192 GB per chip, 6x that of Trillium - 4.5x faster data access https://blog.google/...
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@mark_k
Mark Kretschmann
on x
Google “Ironwood” TPU v7 is a 10x jump in compute over the last generation, and it has vastly more memory. Can anyone even compete with Google's AI hardware at this point? [image]
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@zimmskal
Markus Zimmermann
on x
Google just announced its new TPU: Ironwood The specifications are INSANELY GOOD. I could look at these charts all day. Well, i just might. https://blog.google/... [image]
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@ns123abc
Nik
on x
BREAKING: Google just dropped their latest generation of TPU AI accelerator chip, codename Ironwood >Ironwood can deliver 4,614 TFLOPs of computing power at peak >Each chip has 192GB of dedicated RAM with bandwidth approaching 7.4 Tbps we are so back. [image]
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@a_k_nain
Aakash Kumar Nain
on x
People do not appreciate Google enough for the bets on self-owned hardware. TPUs will be remembered as one of the most important hardware bets by Google. Ironwood is here! [image]
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@andrewcurran_
Andrew Curran
on x
Google announced their new TPU this morning, ‘Ironwood’. Each individual chip has a peak compute of 4,614 TFLOPs. Google is calling it ‘a monumental leap in AI capability’. [image]
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@scaling01
@scaling01
on x
Google just announced Ironwood, their 7th-gen TPU competitor to Nvidia's Blackwell B200 GPUs - 4,614 TFLOPs per chip (FP8) - 192 GB HBM, 7.2 Tbps HBM bandwidth - 1.2 Tbps bidirectional ICI - 42.5 exaflops per 9,216-chip pod (24x El Capitan) [image]
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@maxwinebach
Max Weinbach
on x
DeepSeek R1 (any model tbh) on TPU v7 is gonna RIP 192GB HBM @ 7.4TB/s per chip, 256 chip node, 4614 peak TFLOPS Given cost advantage and GCP scale to zero, I don't see how using any other cloud host for LLMs makes sense if you're self hosting and not using an API.
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@maxwinebach
Max Weinbach
on x
Google announced new TPUs today, Ironwood! Larger pod size, more memory, and better flops per watt. This is likely the most powerful AI accelerator now. https://blog.google/... [image]
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@thomasortk
Thomas Kurian
on x
Our 7th generation TPU, Ironwood, represents our largest and most powerful TPU to date, a more than 10x improvement from our most recent high-performance TPU.
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@thomasortk
Thomas Kurian
on x
Today at Google Cloud Next, we shared exciting announcements across our entire product portfolio, including:
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r/Bard
r
on reddit
Google unveils next generation TPUs
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r/singularity
r
on reddit
Ironwood: The first Google TPU for the age of inference
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r/singularity
r
on reddit
Announcing the Agent2Agent Protocol (A2A)