From 14319ce9e0964580513199f01382813ff69ce83b Mon Sep 17 00:00:00 2001
From: Steve Messick <messick@google.com>
Date: Thu, 29 Jan 2026 18:36:37 +0000
Subject: [PATCH] Add accelerator doc

---
 docs/kernels.md | 17 +++++++++++++++++
 1 file changed, 17 insertions(+)

diff --git a/docs/kernels.md b/docs/kernels.md
index fb36a4bd..0f6ea013 100644
--- a/docs/kernels.md
+++ b/docs/kernels.md
@@ -134,6 +134,7 @@ kaggle kernels push -p <FOLDER_PATH> [options]
 
 **Options:**
 
+*   `--accelerator <ACCELERATOR_ID>`: ID name of the accelerator to use during the run. E.g. "NvidiaTeslaP100" (aka default GPU), "NvidiaTeslaT4", "TpuV6E8".
 *   `-p, --path <FOLDER_PATH>`: Path to the folder containing the kernel file (e.g., `.ipynb`, `.Rmd`, `.py`) and the `kernel-metadata.json` file (defaults to the current directory).
 *   `-t, --timeout <SECONDS>`: Maximum run time in seconds.
 
@@ -149,6 +150,22 @@ kaggle kernels push -p tests/kernel
 
 This command uploads your local kernel file and its metadata to Kaggle. If the kernel specified in the metadata exists under your account, it will be updated. Otherwise, a new kernel will be created. After uploading, Kaggle will attempt to run the kernel.
 
+Accelerators available as of Feb 2026:
+
+* NvidiaTeslaP100
+* TpuV38
+* NvidiaTeslaT4
+* NvidiaTeslaT4Highmem
+* Tpu1VmV38
+* TpuvmV38
+* NvidiaTeslaA100
+* NvidiaL4
+* TpuV5E8
+* NvidiaL4X1
+* TpuV6E8
+* NvidiaH100
+* NvidiaRtxPro6000
+
 ## `kaggle kernels pull`
 
 Pulls down the code/notebook and metadata for a kernel.