We decided to move 90% of our workload from the cloud to on-prem infrastructure

This page summarizes the projects mentioned and recommended in the original post on news.ycombinator.com

InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
featured
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com
featured
  • ovh-colab-sagemaker-compatibility-mode

    Make Jupyter Notebooks authored on Google Colab or Amazon SageMaker Studio work on OVH AI Notebooks.

  • Wholeheartedly agree. After my cloud storage costs exploded (mostly S3 egress over to Hetzner/OVH), I noticed that renting a 1GBit/s fiber connection to my office is actually quite affordable at $80 per month (in northern Germany).

    Of course, it's not globally distributed and there is no fail-safe, but for the work we're doing, that is no issue. If we employees are offline, it doesn't matter if our tools are offline, too. And now that all AI storage is local anyway, building a GPU compute node is easy. I'm still waiting for 3090 prices to drop further, though, in contrast to the article. But I also went with Ryzon 5950 and Linux. I was positively surprised that 10G fiber networking is now down to $70 for a PCIe card + 20m cable kit.

    I then grabbed the python/ubuntu package lists off Google Colab and created my own Docker to imitate it, and now data processing and AI training is fast (I always get the good GPU, no luck involved) and dirt cheap.

    https://github.com/fxtentacle/ovh-colab-sagemaker-compatibil...

  • Wholeheartedly agree. After my cloud storage costs exploded (mostly S3 egress over to Hetzner/OVH), I noticed that renting a 1GBit/s fiber connection to my office is actually quite affordable at $80 per month (in northern Germany).

    Of course, it's not globally distributed and there is no fail-safe, but for the work we're doing, that is no issue. If we employees are offline, it doesn't matter if our tools are offline, too. And now that all AI storage is local anyway, building a GPU compute node is easy. I'm still waiting for 3090 prices to drop further, though, in contrast to the article. But I also went with Ryzon 5950 and Linux. I was positively surprised that 10G fiber networking is now down to $70 for a PCIe card + 20m cable kit.

    I then grabbed the python/ubuntu package lists off Google Colab and created my own Docker to imitate it, and now data processing and AI training is fast (I always get the good GPU, no luck involved) and dirt cheap.

    https://github.com/fxtentacle/ovh-colab-sagemaker-compatibil...

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

    InfluxDB logo
  • autoscaler

    Autoscaling components for Kubernetes

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

Suggest a related project

Related posts

  • Ask HN: What distributed file system would you use in 2024?

    8 projects | news.ycombinator.com | 10 May 2024
  • Show HN: A WireGuard Powered Remote Shell

    1 project | news.ycombinator.com | 10 May 2024
  • Show HN: Post Pigeon – write and share posts with others

    1 project | news.ycombinator.com | 10 May 2024
  • Superfile – A fancy, petty terminal file manager

    1 project | news.ycombinator.com | 10 May 2024
  • Show HN: Meemaw – Trustless and Grandma-Friendly Wallet as a Service

    1 project | news.ycombinator.com | 10 May 2024