19 karma · joined December 15, 2019
Interesting project! This product can unlock a lot of customer savings, and wishing you all the best.
I have a couple of questions:
- Are you focusing on EC2 compute costs or are you focusing on other AWS offerings as well? Curious to see how the savings compare to EC2 compute optimizer [1].
- How is your churn rate? What is the value of your product once a customer optimized their AWS bill?
- Do you have a screencast of your product?
* If you mean code libraries (e.g. a licensing model)? I don’t think a lot of people would pay for that these days.
* Managed solutions for sure, most developers and small companies are happy to outsource anything that reeks of devops.
* IDEs etc, yup worth every penny.
We really need some more details on your infrastructure, but I assume it's EC2 instance cost that skyrocketed?
A couple of pointers:
- Experiment with different GPU instance types.
- Try Inferentia [1], a dedicated ML chip. Most popular ML frameworks are supported by the Neuron compiler.
Assuming you manage your instances in an auto scaling group (ASG):
- Enable a target tracking scaling policy to reactively scale your fleet. The best scaling metric depends on your inference workload.
- If your workload is predictable (e.g. high traffic during the daytime, low traffic during nighttime), enable predictive scaling. [3]
[1] https://aws.amazon.com/machine-learning/inferentia/
[2] https://docs.aws.amazon.com/autoscaling/ec2/userguide/as-sca...
[3] https://docs.aws.amazon.com/autoscaling/plans/userguide/how-...