Execution Statistics
and
26. Execution Statistics
This table contains the latest execution statistics.
nb-exec-table - Unknown Directive
nb-exec-table - Unknown DirectiveThese lectures are built on linux instances through github actions.
These lectures are using the following python version
!python --versionPython 3.12.13
and the following package versions
!conda listOutput
/usr/bin/sh: 1: conda: not found
This lecture series has access to the following GPU
!nvidia-smiFri Jul 31 06:13:40 2026
+-----------------------------------------------------------------------------------------+
| NVIDIA-SMI 580.105.08 Driver Version: 580.105.08 CUDA Version: 13.0 |
+-----------------------------------------+------------------------+----------------------+
| GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|=========================================+========================+======================|
| 0 Tesla T4 On | 00000000:00:1E.0 Off | 0 |
| N/A 31C P8 13W / 70W | 0MiB / 15360MiB | 0% Default |
| | | N/A |
+-----------------------------------------+------------------------+----------------------+
+-----------------------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=========================================================================================|
| No running processes found |
+-----------------------------------------------------------------------------------------+
You can check the backend used by JAX using:
import jax
# Check if JAX is using GPU
print(f"JAX backend: {jax.devices()[0].platform}")JAX backend: gpu

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