Iterative.ai Reviews

1. Ryan Raposo

   | Software Developer at Self-employed | over 3 years ago
   Rare

   The people at iterative.ai are special.

   Its hard to describe quickly, but if you're a potential client or employee--you could easily go your entire career unaware that groups like this exist.

   Their tools (like DVC) are exceptional, but I write this review because one need only interact with the people there to understand why they're execptional.

   The culture there is one that can only exist when the founding talent is top-tier. The experience you'll have, though, is so much more than that.

   Recommend whole-heatedly.

   🏁 Competitors: Git Large File Storage, Make.com, Workflow Management Software

   👍 Pros:    Constantly improving|Quality|Community

Google Cloud TPU Reviews

Iterative.ai mentions (6)

• Work with Google Drive files locally

  PyDrive2 is am open-source python package maintained by the awesome people at Iterative. And it is very easy to install:. - Source: dev.to / over 1 year ago

• Any MLOps platform you use?

  These three are made by Iterative.ai, and seem like very clean implementations of MLOps tooling - especially if you aren't dealing with massive data. https://iterative.ai/. Source: over 1 year ago

• How does your data science team collaborate?

  For what it's worth. (Full disclosure: I'm the community manager at Iterative (DVC,et.al.) Just wanted to make you aware of our online course (free) that we created specifically for Data Scientists (https://learn.iterative.ai). We know that bridging the gap between prototype to production/ jupyter notebook to reproducible/software engineering compatible, is a challenge. That's why we created the course. To also... Source: almost 2 years ago

• Advice about Infra and IaC

  What do you think of iterative.ai tools like dvc or cml? I have no direct experience, but I am looking at setting up something similar to what you need for a personal project. Source: almost 2 years ago

• TPI - Terraform provider for ML/AI & self-recovering spot-instances

  Hey all, we (at iterative.ai) are launching TPI - Terraform Provider Iterative https://github.com/iterative/terraform-provider-iterative. Source: about 2 years ago

Google Cloud TPU mentions (5)

• Pathways Language Model (Palm): 540B Parameters for Breakthrough Perf

  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

• The AI Research SuperCluster

  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

• Stadia's future includes running the backend of other streaming platforms, job listing reveals

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

• Nvidia CEO: Ethereum Is Going To Be Quite Valuable, Transactions Will Still Be A Lot Faster

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

• Server Question

  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