# IT Justification

**URL:** <https://deeptalk.lambda.ai/t/it-justification/3165>\
**Category:** Uncategorized\
**Created:** [August 18, 2022, 1:13pm UTC](https://deeptalk.lambda.ai/t/it-justification/3165 "2022-08-18T13:13:59Z")\
**Posts on this page:** 1\
**Showing post:** 2

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**Author:** ![JayUrbain](https://avatars.discourse-cdn.com/v4/letter/j/d26b3c/32.png) [@JayUrbain](https://deeptalk.lambda.ai/u/JayUrbain)\
**Post date:** [August 19, 2022, 1:43pm UTC](https://deeptalk.lambda.ai/t/it-justification/3165/2 "2022-08-19T13:43:05Z")

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Really easy. Go to GCP or AWS. Find out the type of GPU compute instance you need. Remember, the TensorBook has 64G of memory. For me, it’s about $400/month and I run models constantly. My Lambda laptop cost ~$4,000. So the payback in this case is ~10 months.

There’s a bigger benefit. With the Lambda laptop I run PyCharm and can set breakpoints and inspect variables to debug my models. This saves tons of time over logging and printing.

Good luck.

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