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Managed MLflow VS Vast.ai

Compare Managed MLflow VS Vast.ai and see what are their differences

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Managed MLflow logo Managed MLflow

Managed MLflow is built on top of MLflow, an open source platform developed by Databricks to help manage the complete Machine Learning lifecycle with enterprise reliability, security, and scale.

Vast.ai logo Vast.ai

GPU Sharing Economy: One simple interface to find the best cloud GPU rentals.
  • Managed MLflow Landing page
    Landing page //
    2023-05-15
  • Vast.ai Landing page
    Landing page //
    2023-10-08

Managed MLflow videos

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Vast.ai videos

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Using Vast.ai to set up a machine learning server

Category Popularity

0-100% (relative to Managed MLflow and Vast.ai)

Managed MLflow

Vast.ai

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Cloud Computing
0 0%
Cloud Computing
100% 100
Data Science Notebooks
100 100%
Data Science Notebooks
0% 0
VPS
0 0%
VPS
100% 100

User comments

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Social recommendations and mentions

Based on our record, Vast.ai seems to be more popular. It has been mentiond 223 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Managed MLflow mentions (0)

We have not tracked any mentions of Managed MLflow yet. Tracking of Managed MLflow recommendations started around Mar 2021.

Vast.ai mentions (223)

  • Nvidia pursues $30B custom chip opportunity with new unit
    There are already ways to get around this. For example, renting compute from people who aren't in datacenters. Which is already a thing: https://vast.ai. - Source: Hacker News / 5 months ago
  • A SETI-like project to train LLM on libgen, scihub and the likes?
    By "SETI" I assume you mean the SETI@Home distributed computing project. There's a two-way market where you can rent out your GPU here: https://vast.ai/. - Source: Hacker News / 6 months ago
  • Ask HN: What's the best hardware to run small/medium models locally?
    - https://vast.ai/ (linked by gchadwick above). - Source: Hacker News / 7 months ago
  • Ask HN: What's the best hardware to run small/medium models locally?
    Have you considered running on a cloud machine instead? You can rent machines on https://vast.ai/ for under $1 an hour that should work for small/medium models (I've mostly been playing with stable diffusion so I don't know what you'd need for an LLM off hand). Good GPUs and Apple hardware is pricey. Get a bit of automation setup with some cloud storage (e.g backblaze B2) and you can have a machine ready to run... - Source: Hacker News / 7 months ago
  • Budget-friendly Cloud server to host OpenAI Whisper?
    I have heard vast.ai is cheap but I haven't tried it out. https://websiteinvesting.com/reviews/vast-ai-review/. Source: 7 months ago
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What are some alternatives?

When comparing Managed MLflow and Vast.ai, you can also consider the following products

Algorithmia - Algorithmia makes applications smarter, by building a community around algorithm development, where state of the art algorithms are always live and accessible to anyone.

iExec - Blockchain-Based Decentralized Cloud Computing.

Weights & Biases - Developer tools for deep learning research

Amazon AWS - Amazon Web Services offers reliable, scalable, and inexpensive cloud computing services. Free to join, pay only for what you use.

neptune.ai - Neptune brings organization and collaboration to data science projects. All the experiement-related objects are backed-up and organized ready to be analyzed and shared with others. Works with all common technologies and integrates with other tools.

Golem - Golem is a global, open sourced, decentralized supercomputer that anyone can access.

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