A friend made this meme about me following a recent conversation where I pointed out that they could save 20% on their AWS Lambdas with this simple trick. Lambda pricing used to be determined by the amount of memory you have configured for the Lambda and the number of ms that it spends executing, but now, if your workload can be compiled for an arm64 architecture, you can deploy it on Graviton2 for an additional 20% savings.

Memory (MB) Price per 1ms (x86) Price per 1ms (arm64) Difference
128 0.0000000021 0.0000000017 19.05%
512 0.0000000083 0.0000000067 19.28%
1024 0.0000000167 0.0000000133 20.34%
1536 0.0000000250 0.0000000200 20.00%
2048 0.0000000333 0.0000000267 19.82%
3072 0.0000000500 0.0000000400 20.00%
4096 0.0000000667 0.0000000533 20.09%
5120 0.0000000833 0.0000000667 19.93%
6144 0.0000001000 0.0000000800 20.00%
7168 0.0000001167 0.0000000933 20.05%
8192 0.0000001333 0.0000001067 19.95%
9216 0.0000001500 0.0000001200 20.00%
10240 0.0000001667 0.0000001333 20.04%
19.89%

There are other advantages to also run your workload on Graviton. Graviton CPUs are considered almost 20% more performant than their x86 rivals. As a result, most workloads result in 30-40% savings overall.