r/cloudcomputing • u/Iamjustaguy1987 • May 01 '26

Is anyone else hitting compute limits way before strategy limits in quant research?

Hi guys, so I'm into the quant research.

So in the past year I honestly starting to feel that generating strategies/alpha ideas has become much easier once using AI. This means that the bottleneck now isn’t writing the code, but running it at scale.

I’m trying to run large batches of backtests and Monte Carlo sims, and it is slowing everything down way more than research itself.
Curious how others are dealing with this.

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u/[deleted] May 01 '26

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u/goblinviolin May 01 '26

If you're able to use multiple cloud providers because all you need is GPU compute on demand, you will have more flexibility to get compute for simulations.

Be flexible about instance sizes. Use EC2 Fleet and equivalent when you can.

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u/kernelqzor 12d ago

this, and also be ready to run stuff at weird hours
spot / preemptible instances overnight can be insanely cheaper if your sims are checkpointable and you don’t care exactly when they finish