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PostgresML

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About

PostgresML is an AI tool that allows users to perform various machine learning tasks, including indexing, filtering, and ranking vectors; creating embeddings; and generating real-time, fact-based outputs. It offers a comprehensive platform with multiple deployment options and supports various AI and machine learning tasks using SQL or SDKs in JavaScript and Python. The tool is built on PostgreSQL and is designed for efficient GPU memory management. PostgresML also provides various open-source tools like Korvus, PGML, and PgCat.

Platform
Web
Task
machine learning

Features

built-in data preprocessors for splitting and chunking

choose from state-of-the-art models

index embeddings with hnsw or ivfflat

perform fast knn and ann search

10x faster vector operations

generate real-time, fact-based outputs

create embeddings

index, filter & rank vectors

FAQs

What does serverless mean on PostgresML?

On PostgresML you can build and scale Postgres without having to manage servers or GPUs. Your database will respond to your application’s demand automatically, and scale up or down as needed. Your charges will be based purely on your usage, and measured down to the millisecond.

Does PostgresML charge per token?

PostgresML does not charge per token. We charge by the amount of time a query runs. Queries that generate or process more tokens will often run longer, but queries that use smaller models will run more quickly. You’re only charged for the resources you use.

Does PostgresML charge for storage?

PostgresML charges $0.25 per gigabyte per month for storage. This includes fault tolerant RAID configurations for high availability as well as backups for disaster recovery.

How is PostgresML so inexpensive?

Our approach to GPU memory management is inherently more efficient because at PostgresML, we move full AI capability to the database rather than moving the data to the models.

How does the cost estimator work?

PostgresML estimates costs based on typical workloads and real world benchmarks. Workload prediction is difficult which can make future cost estimation even harder. Please contact our team if you would like help estimating the size of your workload and the associated costs. We’re happy to help if you have any questions.

What can I do with my free credits?

Anything you want with PostgresML. We’ll send you an email when your free credits expire as a reminder that you may start incurring charges in the future.

How does billing work?

By default, you will be billed monthly based on your usage. You will receive an invoice with total charges three days before your elected payment method is automatically billed. If you incur significantly increased utilization before your normal billing cycle, we will notify you with an off cycle invoice to help you control costs and maintain service.

Does PostgresML provide technical support?

Serverless plans have access to our community Discord. Dedicated plans offer a private Slack or MS teams channel for direct communication with our team. PostgresML provides custom SLAs for enterprise plans. Contact us for details.

Pricing Plans

Serverless
$7.50 / per query hour

Pay-per-use

Burst GPU capacity

Access curated models

Support on Discord

Dedicated
$0.60 / per instance hour

Committed use discounts

Dedicated hardware

Use any model on HuggingFace

Deploy on major cloud providers in any region

Dedicated support on private Slack or MS Teams

Enterprise
Unknown Price

Pay as you go or committed use pricing

VPC deployments on major cloud providers in any region

Multiple GPUs

Custom SLAs

Premium support and onboarding

Dedicated support on Slack or MS Teams

Priority feature requests

Job Opportunities

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PostgresML

Full Stack Engineer

PostgresML is a cloud-based AI application database built on PostgreSQL that enables efficient machine learning tasks using GPUs. It offers serverless and dedicated plans with various features.

engineeringremotefull-time

Benefits:

  • Remote-first

  • Relocate if you want

  • Platinum-tier insurance

  • Stipends

  • Unlimited PTO

Experience Requirements:

  • 5+ years of professional programming experience including vanilla HTML/JS/CSS in a browser

Other Requirements:

  • Experience creating and maintaining front end infrastructure and tooling such as build pipelines

  • Keen attention to detail and able to work with a designer to iterate toward responsive and scalable designs

  • Interest in machine learning, statistics and algorithms for dealing with large datasets

Responsibilities:

  • Build infrastructure as a service with a web app implemented in Rust

  • Work with a small team to implement a fast, modern and efficient web front end with client and server side components

  • Implement advanced visualizations using D3, WASM, SVG and CSS to provide insight into complex data sets and models

  • Build end-to-end ML applications with the support of a Data Scientist on the platform

Show more details

Machine Learning Engineer

PostgresML is a cloud-based AI application database built on PostgreSQL that enables efficient machine learning tasks using GPUs. It offers serverless and dedicated plans with various features.

Benefits:

  • Remote-first

  • Relocate if you want

  • Platinum-tier insurance

  • Stipends

  • Unlimited PTO

Experience Requirements:

  • 5+ years of relevant experience in roles that require a strong statistical background day to day

Other Requirements:

  • Experience designing machine learning models (data analysis, feature engineering, algorithm selection), and working with them in a production environment, using a language like R, Python or C++

  • Understanding of SQL concepts for data retrieval, cleaning and feature engineering

  • Presentation and communication skills, diagrams as well as documents to explain deep concepts

Responsibilities:

  • Work with an engineering team to implement ML solutions at scale

  • Build an infrastructure platform across multiple cloud providers

  • Integrate the latest models and frameworks w/ vector and tabular database operations

  • Diagnose customer scale and performance issues

Show more details

Data Scientist

PostgresML is a cloud-based AI application database built on PostgreSQL that enables efficient machine learning tasks using GPUs. It offers serverless and dedicated plans with various features.

Benefits:

  • Remote-first

  • Relocate if you want

  • Platinum-tier insurance

  • Stipends

  • Unlimited PTO

Education Requirements:

  • Bachelor's degree or equivalent experience in a quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.)

Experience Requirements:

  • 5+ years of relevant experience in roles that require a strong statistical background day to day

Other Requirements:

  • Experience designing machine learning models (data analysis, feature engineering, algorithm selection), and working with them in a production environment, using a language like R, Python or C++

  • Excellent understanding of SQL concepts for data retrieval, cleaning and feature engineering

  • Presentation and communication skills, diagrams as well as documents to explain deep concepts

Responsibilities:

  • Create documentation for classical Machine Learning use cases on a brand new platform

  • Educate early customers and help them formulate business problems as supervised learning problems

  • Design statistical visualizations that provide insight across multiple data sets

  • Guide UX to create interpretable model outputs, as well as avenues for model improvement

  • Implement concepts in SQL, Python and Rust rather than Powerpoint

Show more details

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