Pruna AI is an AI optimization engine designed to make AI models faster, cheaper, and more sustainable. It uses techniques like pruning, quantization, compilation, and caching to optimize model execution, significantly improving performance. Pruna offers a free plan with 100 hours of monthly runtime and enterprise plans with additional hours and support. The tool is easy to install via pip and integrates seamlessly into existing workflows.
• user-friendly interface
• performance evaluation
• scalable inference
• model compression
• automated model optimization
• saas cloud platform
• integration with various backends (triton, c, etc.)
Pruna makes models more efficient by using techniques like pruning, quantization, compilation, and caching to optimize the model's execution kernel and graph.
Improvements vary depending on the model and the techniques used, but Pruna claims speed increases of up to 480% in some cases.
The model runs on your side, using Pruna's optimization engine to improve performance.
Pruna aims to maintain model quality while improving efficiency; however, minor changes may occur.
Yes, Pruna offers a free plan with 100 hours of monthly runtime.
The free plan offers 100 hours of runtime per month; enterprise plans provide additional hours and support.
Pruna is designed for inference optimization, not training.
To optimize a model with Pruna, you need to install it using pip, provide your email, and it will automatically provide a token for your machine.
Pruna uses established optimization techniques; risks are minimal, but it's always recommended to test thoroughly.
• Unlimited runtime hours
• Customized Optimization
• Customer Onboarding
• Advisory on Optimization Strategy
• Dedicated Support
• Slack channel and Support portal
• Guaranteed Response Time
• SLAs
MLOps Engineer
Pruna AI optimizes AI models for faster, cheaper, and more sustainable inference. Free and enterprise plans available.
Benefits:
Competitive salary and benefits
Stimulating and inclusive workplace
Remote and local Hubs
Frontier work in AI
Education Requirements:
B.Sc. in computer science or related fields
Completed coursework on machine learning and/or deep learning
Experience Requirements:
Good understanding of machine learning algorithms and techniques
Proficiency in programming languages commonly used in MLOps (e.g., Python, C++, Java)
Experience with infrastructure as code (IaC) tools such as Terraform or CloudFormation
Expertise in cloud computing platforms
Experience with containerisation technologies
Other Requirements:
Good communication and collaboration skills
Experience in working within an agile development environment
Strong sense of project ownership and personal responsibility
Passionate about making AI accessible to everyone
Responsibilities:
Development of Pruna’s SaaS Platform
Management of R&D Cluster
Collaboration with various teams
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Working Student / Master Thesis / Internship
Pruna AI optimizes AI models for faster, cheaper, and more sustainable inference. Free and enterprise plans available.
Benefits:
Competitive salary and benefits
Stimulating and inclusive workplace
Remote and local Hubs
Frontier work in AI
Education Requirements:
A completed B.Sc. in computer science or related fields
Completed coursework on machine learning and/or deep learning
Experience Requirements:
Foundational knowledge in machine learning algorithms
Experience with the PyTorch deep learning framework
Experience with the Python programming language
Ability to read, understand, reimplement and critique research publications
Other Requirements:
Strong communication skills
Creative, collaborative, and innovation-focused
Strong sense of project ownership and personal responsibility
Passionate about making AI accessible to everyone
Responsibilities:
Compression research and integration
Collaboration with ML Research Engineers and MLOps Engineers
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