Numba 0.61.0 broken on Google Colab (Feb 25)

As of Feb 13th 2025 the latest numba release 0.61.0 is not compatible with the Google Colab GPU runtime.

Reproducer

• Open this example notebook from nvidia/accelerated-computing-hub
• In the menu select Runtime > Change Runtime Type and choose a GPU like a T4
• Run all cells

The first numba cell fails

import numpy as np
from numba import cuda

data = np.asarray(range(10))
output = np.zeros(len(data))

@cuda.jit
def foo(input_array, output_array):
    i = cuda.grid(1)
    output_array[i] = input_array[i]
    
foo[1, len(data)](data, output)

output

/usr/local/lib/python3.11/dist-packages/numba_cuda/numba/cuda/dispatcher.py:536: NumbaPerformanceWarning: Grid size 1 will likely result in GPU under-utilization due to low occupancy.
  warn(NumbaPerformanceWarning(msg))
ERROR:numba.cuda.cudadrv.driver:Call to cuLinkAddData results in CUDA_ERROR_UNSUPPORTED_PTX_VERSION

---------------------------------------------------------------------------

CudaAPIError                              Traceback (most recent call last)

[/usr/local/lib/python3.11/dist-packages/numba_cuda/numba/cuda/cudadrv/driver.py](https://localhost:8080/#) in add_ptx(self, ptx, name)
   2806         try:
-> 2807             driver.cuLinkAddData(self.handle, enums.CU_JIT_INPUT_PTX,
   2808                                  ptxbuf, len(ptx), namebuf, 0, None, None)

10 frames

CudaAPIError: [222] Call to cuLinkAddData results in CUDA_ERROR_UNSUPPORTED_PTX_VERSION


During handling of the above exception, another exception occurred:

LinkerError                               Traceback (most recent call last)

[/usr/local/lib/python3.11/dist-packages/numba_cuda/numba/cuda/cudadrv/driver.py](https://localhost:8080/#) in add_ptx(self, ptx, name)
   2808                                  ptxbuf, len(ptx), namebuf, 0, None, None)
   2809         except CudaAPIError as e:
-> 2810             raise LinkerError("%s\n%s" % (e, self.error_log))
   2811 
   2812     def add_file(self, path, kind):

LinkerError: [222] Call to cuLinkAddData results in CUDA_ERROR_UNSUPPORTED_PTX_VERSION
ptxas application ptx input, line 9; fatal   : Unsupported .version 8.5; current version is '8.4'

Start with the linked NVIDIA accelerated-computing-hub notebook and reproduce the first Numba CUDA cell on a Google Colab GPU runtime. Compare the installed Numba and PTX versions with the runtime's supported version, then identify the deployment or notebook change needed. Done means the example runs successfully without CUDA_ERROR_UNSUPPORTED_PTX_VERSION.