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Six Serving Engines on Four Accelerators: Gemma 4 E2B on an RTX 3050, a T4, an L4 and a TPU v5e

Six Serving Engines on Four Accelerators: Gemma 4 E2B on an RTX 3050, a T4, an L4 and a TPU v5e

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Comments 1
11 min read
Running Captum on Cloud TPUs with TorchTPU: a work log

Running Captum on Cloud TPUs with TorchTPU: a work log

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19 min read
Gemma 4 in Rust on TorchTPU: Hands On With Colab

Gemma 4 in Rust on TorchTPU: Hands On With Colab

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9 min read
Gemma 4 E2B in JAX on One TPU v5e: bf16 or 4-Bit, Python or Rust, and How It Stands Against vLLM

Gemma 4 E2B in JAX on One TPU v5e: bf16 or 4-Bit, Python or Rust, and How It Stands Against vLLM

11
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10 min read
Gemma 4 in Rust on TorchTPU: A Native TPU Rig With PyO3 and MCP

Features a rare unsendable pyclass thread design

Gemma 4 in Rust on TorchTPU: A Native TPU Rig With PyO3 and MCP

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11 min read
Google expands TPU lineup to solve AI memory and security gaps

Google expands TPU lineup to solve AI memory and security gaps

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4 min read
Six Serving Engines on One Cloud TPU v5e Chip: Gemma 4 E2B

SGLang-JAX wins the speed test

Six Serving Engines on One Cloud TPU v5e Chip: Gemma 4 E2B

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12 min read
Porting Gemma 4 E2B to SGLang-JAX on One Cloud TPU v5e

Porting Gemma 4 E2B to SGLang-JAX on One Cloud TPU v5e

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10 min read
Google Introduces TorchTPU to Expand Access to Its AI Chips

Google Introduces TorchTPU to Expand Access to Its AI Chips

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3 min read
Space data center cooling: why Google's TPUs in orbit run 15 minutes

Space data center cooling: why Google's TPUs in orbit run 15 minutes

1
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9 min read
PyTorch on TPU: Hands On With Colab

PyTorch on TPU: Hands On With Colab

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14 min read
Inference on Google Cloud: Precision, Memory and Capacity on TPU, from v5e to Ironwood

Inference on Google Cloud: Precision, Memory and Capacity on TPU, from v5e to Ironwood

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Comments 1
14 min read
TorchTPU vs CUDA: Can Native PyTorch Make Google TPUs Easier to Use?

TorchTPU vs CUDA: Can Native PyTorch Make Google TPUs Easier to Use?

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8 min read
Small Apache-2.0 Models Against Gemma 4 E2B on One TPU v5e: Which Ones Keep Up?

Rigorous 14 GiB TPU v5e memory budget constraints

Small Apache-2.0 Models Against Gemma 4 E2B on One TPU v5e: Which Ones Keep Up?

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Comments 3
10 min read
Gemma 4 E2B in Pure JAX on a Colab TPU: Google's 4-Bit Export Against an Exact Repack

A repack beats Google's export by 342x

Gemma 4 E2B in Pure JAX on a Colab TPU: Google's 4-Bit Export Against an Exact Repack

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Comments 4
8 min read
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