AWS DeepRacer VS Google Cloud TPU

Generative Artificial Intelligence (GenAI) is a type of artificial intelligence that can generate text, images, or other media using generative models. AWS offers a range of services for building and scaling generative AI applications, including Amazon SageMaker, Amazon Rekognition, AWS DeepRacer, and Amazon Forecast. AWS has also invested in developing foundation models (FMs) for generative AI, which are... - Source: dev.to / 4 months ago

I haven't used it, but I've heard good things about AWS' DeepRacer. It's supposed to be an all-in-one place to start for this kind of work. Source: 6 months ago

AWS DeepRacer is a service offered by Amazon Web Services (AWS) that combines machine learning, cloud computing, and robotics to provide a platform for learning and experimenting with reinforcement learning. - Source: dev.to / 9 months ago

Some other toy-scale self-driving car projects which come with simulators in case someone cannot get the hardware: 1. Duckietown: https://www.duckietown.org/ from ETH Zurich, comes with a MOOC with all material. 2. MuSHR: https://mushr.io/ from Sid Srinivasa’s group at UW. 3. F1TENTH: https://f1tenth.org/ probably the most popular, regularly heads physical competitions, sometimes at popular robotics conferences.... - Source: Hacker News / 12 months ago

I don't think I'll spend too much time writing about the history of deepracer, or what it is. You can read up on it on AWS website https://aws.amazon.com/deepracer/. - Source: dev.to / over 1 year ago

According to https://cloud.google.com/tpu, each individual TPUv3 has 420 Teraflops, and TPUv4 is supposed to double that performance, so if that guess is correct, it should take a few seconds to do inference. Quite impressive really. - Source: Hacker News / about 2 years ago

You can also rent a cloud TPU-v4 pod (https://cloud.google.com/tpu) which 4096 TPUv-4 chips with fast interconnect, amounting to around 1.1 exaflops of compute. It won't be cheap though (excess of 20M$/year I believe). - Source: Hacker News / over 2 years ago

Actually, that's done with TPUs which are more efficient: https://cloud.google.com/tpu. Source: almost 3 years ago

TPU training uses Google silicon and is thus a true deep learning alternative to Nvidia. Source: almost 3 years ago

The server choice really depends on how much CPU and RAM the requests take, how many users will be hitting the server, etc. You can start with a $5/month Digital Ocean server (or AWS or Google) and see if that works for you. Or you can outsource the server administration to Amazon or Google if you don't want to deal with it or need specialized tpu hardware. Source: about 3 years ago