I believe it is available via Elastic Inference[1][2] (or maybe soon will be).
[0] https://aws.amazon.com/machine-learning/inferentia/
[1] https://docs.aws.amazon.com/elastic-inference/latest/develop...
[2] https://aws.amazon.com/machine-learning/elastic-inference/
Currently, it only takes about 1 month to break even if you buy a consumer gpu like the rtx 2080ti, compared with AWS time. For training purposes it doesn't seem to make sense.
- just looked up the numbers and google tpus are pretty similar in terms of pricing. I think any aws equivalent would probably be just as expensive compared to a diy pc.
https://lambdalabs.com/blog/8-v100-server-on-prem-vs-p3-inst...
Why should they? There is not a lot of money to be gained from renting niche product in comparison to enormous capital expenditure for anything hardware related.
Lot's of dotcom companies burned themselves badly while chasing trendsetters with custom silicon. A cookie cutter 40nm SoC may cost "just" 10M today, but by involving yourself into custom silicon game you risk loosing in it. Not to mention that your operations troubles will increase n-fold.
Managing operations of hosting business with hundreds of thousands customer is hard enough. Logistics, server lifecycle, DC management, managing procurement contracts with unruly OEMs... Now try to dock all troubles you have with chipmakers to it. It will become a nightmare.
https://aws.amazon.com/ec2/instance-types/#Accelerated_Compu...
Edit: I didn't see the parent meant a hardware accelerator created by Amazon itself. Thx to @jsty and @paol for pointing this out. An ASIC by Amazon was announced last year and is known as 'AWS Inferentia'
https://aws.amazon.com/machine-learning/inferentia/
https://perspectives.mvdirona.com/2018/11/aws-inferentia-mac...