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Google TPU Ironwood

Google · #1 most active of 18 in Chips & Compute

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v7 TPU pods scaling to 9,216 chips, available through Google Cloud and used for Gemini.

83

Trust score · Mostly verified

3 data points checked · 2026-11-08

Model stack: DisputedEntry price: VerifiedVersion: VerifiedHow this works →

Current version

7th generation (Ironwood)

Entry cost

from $5.4/unit

Changes / 30d

11

The short answers · verified November 7, 2026

What is the latest version of Google TPU Ironwood?
The current shipped version of Google TPU Ironwood is 7th generation (Ironwood), as of November 7, 2026.
How much does Google TPU Ironwood cost?
Google TPU Ironwood starts at $5.4 per month on its cheapest paid tier, as of November 7, 2026.
What AI model does Google TPU Ironwood use?
Google TPU Ironwood runs primarily on Gemini.

Source: Google — cloud.google.com · Reusable under CC BY 4.0 — cite Tomorrow

Capabilities

  • 9,216-chip pods
  • inference optimised
  • liquid cooled
  • JAX + PyTorch/XLA
  • Large-scale training
  • Reasoning and inference
  • 9,216 liquid-cooled chips per pod
  • 42.5 ExaFlops performance
  • AI Hypercomputer integration
  • JAX support
  • PyTorch support
  • vLLM support
  • 42.5 ExaFlops peak compute
  • 4X better performance per chip over Trillium
  • AI Hypercomputer architecture
  • Liquid-cooled chips
  • JAX native support
  • PyTorch native support
  • Native JAX & PyTorch support
  • vLLM engine support
  • OpenXLA compiler integration
  • Engineered for large-scale training, reasoning, and inference
  • Native support for JAX and PyTorch
  • AI training
  • AI inference
  • ML Training
  • ML Inference
  • GKE support
  • large-scale training
  • reasoning
  • inference
  • liquid-cooled chips
  • TPU7x
  • 9216 chips per pod
  • 42.5 ExaFlops
  • Reasoning
  • Inference
  • 9216 liquid-cooled chips per pod
  • AI Hypercomputer
  • OpenXLA compiler
  • Frontier training
  • Large-scale inference
  • Multi-step reasoning
  • OpenXLA support
  • liquid-cooled
  • PyTorch
  • JAX
  • vLLM
  • OpenXLA
  • MaxText
  • Tunix
  • GKE
  • Liquid-cooled
  • ML training
  • JAX Support
  • PyTorch Support
  • vLLM Support
  • MaxText blueprint
  • Tunix library
  • Training
  • JAX supportvLLM support
  • Google Kubernetes Engine (GKE)
  • Tensor Processing Units
  • training
  • 9,216 chips per pod
  • AI Training
  • AI Inference
  • Model Training
  • Large-scale Training
  • vLLM Engine Support
  • Liquid-cooled Pods
  • GKE integration
  • Machine Learning Workloads
  • Frontier Training
  • Large-scale Inference
  • Agentic AI Reasoning
  • 42.5 ExaFlops per pod
  • Agentic AI reasoning
  • SGLang support
  • OpenXLA Compiler
  • ASIC
  • Machine Learning Accelerator
  • 7th-generation TPU
  • AI Acceleration
  • Deep Learning

Pricing

  • On Demand (us-central1)

    Per chip-hour

    $12

  • DWS Flex-start (us-central1)

    Per chip-hour

    $6

  • DWS Calendar Mode (us-central1)

    Per chip-hour

    $8.4

  • 1-year Commitment (us-central1)

    Per chip-hour

    $8.4

  • 3-year Commitment (us-central1)

    Per chip-hour

    $5.4

  • On Demand (europe-west2)

    Per chip-hour

    $13.2

  • DWS Flex-start (europe-west2)

    Per chip-hour

    $6

  • DWS Calendar Mode (europe-west2)

    Per chip-hour

    $8.4

Entry price over time

7/27/2026 · $1.211/7/2026 · $5.4

Geek mode

Models under the hood

  • Gemini

    Google

    disclosed

  • Google TPU Ironwood

    Google

    inferred

  • Ironwood

    Google

    disclosed

  • Ironwood (TPU v7)

    Google

    inferred

  • Ironwood TPU

    Google

    inferred

  • Ironwood TPU (7th Generation)

    Google

    inferred

  • TPU v7

    Google

    disclosed

  • TPU7x

    Google

    inferred

  • TPU7x (Ironwood)

    Google

    disclosed

  • XLA compiler

    Google

    disclosed

Context window

—

Public API

yes

Multi-model routing

no

Stack signals

  • PyTorch
  • JAX
  • vLLM
  • SGLang
  • OpenXLA

Shared model stack

Other tracked products running on the same foundation models — a quick read on how much of the catalog moves when one of these models changes.

green disclosed · amber inferred · grey unattributed. Aliases are folded into one model; provider concentration counts only models with an established vendor.

Reported scale

Reference data. Each figure is whatever the source actually said — weekly users, downloads, revenue run-rate — with its own definition and date. These are not comparable between tools and are never used to rank anything.

No public usage figure on record for this product.

Public market scorecard

Alphabet investor relations

Google trades as NASDAQ: GOOGL. Figures below are as reported for Q2 2026 on Jul 23, 2026; market levels are the close on Aug 6, 2026 and are a reference marker, not a live quote.

Q2 2026 revenue

$103B

+15% YoY

Google Cloud
~$16B
+30% YoY
Gemini app users
~950M MAU
company stated

Market reference

Share price~$215
12-month change+25%
Market cap~$2.6T
Live quote

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Elsewhere on the same models

Products in other segments that name one of Google TPU Ironwood's models in their stack.

Box AI

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Version
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Pricing is available on request via Google Cloud / Vertex AI, typically billed per token or resource unit.
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Change history

  • version

    Google TPU Ironwood moved to 7th generation (Ironwood)

    Ironwood (7th Generation)7th generation (Ironwood)

    source
  • version

    Google TPU Ironwood moved to Ironwood (7th Generation)

    7th generationIronwood (7th Generation)

    source
  • capability

    New capabilities: AI Acceleration, Deep Learning

    83 tracked85 tracked · +AI Acceleration, Deep Learning

    source
  • version

    Google TPU Ironwood moved to 7th generation

    7th generation (Ironwood)7th generation

    source
  • version

    Google TPU Ironwood moved to 7th generation (Ironwood)

    Ironwood (7th Gen)7th generation (Ironwood)

    source
  • version

    Google TPU Ironwood moved to Ironwood (7th Gen)

    IronwoodIronwood (7th Gen)

    source
  • version

    Google TPU Ironwood moved to Ironwood

    Ironwood (7th generation)Ironwood

    source
  • capability

    New capabilities: 7th-generation TPU

    82 tracked83 tracked · +7th-generation TPU

    source
  • version

    Google TPU Ironwood moved to Ironwood (7th generation)

    7th-generation (Ironwood)Ironwood (7th generation)

    source
  • version

    Google TPU Ironwood moved to 7th-generation (Ironwood)

    7th generation7th-generation (Ironwood)

    source
  • version

    Google TPU Ironwood moved to 7th generation

    Ironwood (7th generation)7th generation

    source
  • version

    Google TPU Ironwood moved to Ironwood (7th generation)

    IronwoodIronwood (7th generation)

    source
  • version

    Google TPU Ironwood moved to Ironwood

    7th-generation (Ironwood)Ironwood

    source
  • version

    Google TPU Ironwood moved to 7th-generation (Ironwood)

    Ironwood (7th Generation)7th-generation (Ironwood)

    source
  • version

    Google TPU Ironwood moved to Ironwood (7th Generation)

    IronwoodIronwood (7th Generation)

    source
  • capability

    New capabilities: ASIC, Machine Learning Accelerator

    80 tracked82 tracked · +ASIC, Machine Learning Accelerator

    source
  • version

    Google TPU Ironwood moved to Ironwood

    Ironwood (7th generation)Ironwood

    source
  • capability

    New capabilities: OpenXLA Compiler

    79 tracked80 tracked · +OpenXLA Compiler

    source
  • version

    Google TPU Ironwood moved to Ironwood (7th generation)

    7th generationIronwood (7th generation)

    source
  • capability

    New capabilities: SGLang support

    78 tracked79 tracked · +SGLang support

    source
  • version

    Google TPU Ironwood moved to 7th generation

    Ironwood7th generation

    source
  • version

    Google TPU Ironwood moved to Ironwood

    7th-generationIronwood

    source
  • version

    Google TPU Ironwood moved to 7th-generation

    7th-generation (Ironwood)7th-generation

    source
  • version

    Google TPU Ironwood moved to 7th-generation (Ironwood)

    7th generation7th-generation (Ironwood)

    source
  • version

    Google TPU Ironwood moved to 7th generation

    7th-generation (Ironwood)7th generation

    source
  • version

    Google TPU Ironwood moved to 7th-generation (Ironwood)

    7th generation7th-generation (Ironwood)

    source
  • version

    Google TPU Ironwood moved to 7th generation

    7th generation (Ironwood)7th generation

    source
  • version

    Google TPU Ironwood moved to 7th generation (Ironwood)

    Ironwood (7th generation)7th generation (Ironwood)

    source
  • version

    Google TPU Ironwood moved to Ironwood (7th generation)

    7th generation (Ironwood)Ironwood (7th generation)

    source
  • version

    Google TPU Ironwood moved to 7th generation (Ironwood)

    Ironwood (7th generation)7th generation (Ironwood)

    source
  • capability

    New capabilities: 42.5 ExaFlops per pod, Agentic AI reasoning

    76 tracked78 tracked · +42.5 ExaFlops per pod, Agentic AI reasoning

    source
  • version

    Google TPU Ironwood moved to Ironwood (7th generation)

    Ironwood - 7th generationIronwood (7th generation)

    source
  • pricing

    Entry price decreased to $5.4/mo

    $6$5.4

    source
  • version

    Google TPU Ironwood moved to Ironwood - 7th generation

    IronwoodIronwood - 7th generation

    source
  • pricing

    Entry price increased to $6/mo

    $5.4$6

    source
  • capability

    New capabilities: Machine Learning Workloads, Frontier Training, Large-scale Inference

    72 tracked76 tracked · +Machine Learning Workloads, Frontier Training, Large-scale Inference, Agentic AI Reasoning

    source
  • version

    Google TPU Ironwood moved to Ironwood

    7th generationIronwood

    source
  • capability

    New capabilities: GKE integration

    71 tracked72 tracked · +GKE integration

    source
  • version

    Google TPU Ironwood moved to 7th generation

    Ironwood - 7th generation7th generation

    source
  • version

    Google TPU Ironwood moved to Ironwood - 7th generation

    Ironwood (7th Gen)Ironwood - 7th generation

    source
Subscribe to Google TPU Ironwood changes

Google TPU Ironwood compared

Straight head-to-head pages against the busiest products in Chips & Compute.

Google TPU Ironwood vs Cerebras WSE-3Google TPU Ironwood vs AWS Trainium2Google TPU Ironwood vs Tenstorrent BlackholeGoogle TPU Ironwood vs NVIDIA BlackwellGoogle TPU Ironwood vs Groq LPUGoogle TPU Ironwood vs AMD Instinct MI355X

How to cite this page

Free to cite and reuse under CC BY 4.0. Permalink: https://tomorrow.aliensquad.ai/tools/google-tpu

APA
Tomorrow. (2026). Google TPU Ironwood — version, pricing and model stack [Data set entry]. AlienSquad. Retrieved 2026-11-08, from https://tomorrow.aliensquad.ai/tools/google-tpu
BibTeX
@misc{tomorrow-tools-google-tpu,
  author       = {{Tomorrow}},
  title        = {Google TPU Ironwood — version, pricing and model stack},
  year         = {2026},
  publisher    = {AlienSquad},
  howpublished = {\url{https://tomorrow.aliensquad.ai/tools/google-tpu}},
  note         = {Accessed: 2026-11-08}
}