Google Axion CPU Performance With The New Google Cloud N4A Instances

Written by Michael Larabel in Cloud on 27 January 2026 at 12:00 PM EST. Page 4 of 5. 12 Comments.
PETSc benchmark with settings of Test: Streams. N4A was the fastest.
PyBench benchmark with settings of Total For Average Test Times. N4A was the fastest.
PyBench benchmark with settings of Total For Average Test Times. N4A was the fastest.
PyPerformance benchmark with settings of Benchmark: float. N4A was the fastest.
PyPerformance benchmark with settings of Benchmark: pathlib. N4A was the fastest.
PyPerformance benchmark with settings of Benchmark: raytrace. N4A was the fastest.
PyPerformance benchmark with settings of Benchmark: gc_collect. N4A was the fastest.
PyPerformance benchmark with settings of Benchmark: xml_etree. N4A was the fastest.
PyPerformance benchmark with settings of Benchmark: json_loads. N4A was the fastest.
PyPerformance benchmark with settings of Benchmark: regex_compile. N4A was the fastest.
PyPerformance benchmark with settings of Benchmark: django_template. N4A was the fastest.
PyPerformance benchmark with settings of Benchmark: asyncio_websockets. N4A was the fastest.
PyPerformance benchmark with settings of Benchmark: pickle_pure_python. N4A was the fastest.

Solid improvements across the board for Google Cloud N4A over T2A in performance and value within the public cloud.

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