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Mystic AI

Run any AI model on your cloud or ours...

5.0
•2 reviews•

214 followers

Run any AI model on your cloud or ours...

5.0
•2 reviews•

214 followers

Visit website
Command line tools
•
AI Infrastructure Tools
•
Cloud Computing Platforms
Mystic AI offers a high performance ML deployment platform that lets you deploy any custom, fine-tuned open source ML model as an API, either on our shared cluster, your preferred cloud platform. Our serverless pay-per-millisecond API is free to get started, but if you'd like to access our new Turbo Registry, we have plans ranging from $30 to $100 depending on scale. Our BYOC gives you the serverless experience you get with current providers but with full control over scaling and GPUs at cost.
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Company Info
mystic.aiGitHub
Mystic AI Info
Launched in 2024View 2 launches
Forum
p/mystic-byoc
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This is the 2nd launch from Mystic AI. View more
Mystic Turbo Registry

Mystic Turbo Registry

High-performance AI model loader
Our custom Docker registry and containerd adapter that loads ML models up to 15x faster - cutting down cold start times by up to 90%.
Mystic Turbo Registry gallery image
Mystic Turbo Registry gallery image
Mystic Turbo Registry gallery image
Mystic Turbo Registry gallery image
Free Options
Launch tags:
Developer Tools•Artificial Intelligence•Tech
Launch Team
Anirudh RaghuramPaul HetheringtonOscar Rovira

What do you think? …

Oscar Rovira
Oscar Rovira

Mystic AI

Maker
📌
Hey PH! I'm Oscar, co-founder of Mystic AI, and I want to share why Turbo Registry is a game changer. Since 2020, we've been in the serverless GPU space, and one persistent challenge has been cold-starts. When you're running custom ML models—like LLMs, image-gen, or video-gen—you need varying numbers of GPUs based on traffic. The issue? When demand spikes, you need more GPUs fast, but cold-starts can slow you down. This process involves three stages: getting GPU access from the cloud provider, loading the necessary code (usually a Docker image), and finally loading the model into GPU memory. The most time-consuming part is often the second stage: loading Docker images. Depending on the size of the image, this can take several minutes. That's where Mystic Turbo Registry shines, reducing this time by up to 15x. Check out these benchmarks: 5GB Docker images load in 10.23 seconds (down from 82.21 seconds with a standard Docker Registry). 10GB Docker images load in 14.75 seconds (down from 147 seconds). 20GB Docker images load in 23.72 seconds (down from 270.47 seconds). We've achieved this with a Rust-based Docker registry and a custom containerd adapter that optimizes image loading. Sounds impressive, right? Accessing this Docker Registry is simple—it's already available to our serverless API users. Just sign up with Mystic, choose the tier that fits your workload, and enjoy up to 15x faster cold-starts today! To celebrate, we're offering 50% off your first month's payment.
Report
1yr ago
Isabella Rose Wilson
Isabella Rose Wilson
Congrats on this amazing launch! 🚀 That speed boost for loading ML models is a game changer. Excited to see the impact on cold start times!
Report
1yr ago
Ema Elisi
Ema Elisi
Elisi : AI-powered Goal Management App

Elisi : AI-powered Goal Management App

Impressive launch! Reducing cold start times by 90% with your custom Docker registry is a game changer for ML deployment. Can't wait to see how this boosts overall ROI for the community. Upvoted!
Report
1yr ago
Basecamp
Basecamp — Famously straightforward project management from 37Signals
Famously straightforward project management from 37Signals
Promoted

Mystic AI Launches

Mystic Turbo Registry
Mystic Turbo Registry High-performance AI model loader

Launched on August 9th, 2024

Do you use Mystic AI?

5.0
Based on 2 reviews
Review Mystic AI?
Reviews
Helpful
Tim Wu
Tim Wu
•1 review
Huge congrats to @paul_hetherington and @hirovi! We're an early adopter of Mystic's BYOC and I can't recommend them enough. - Extremely on-hands and responsive support - Rapid feature implementation in response to customer needs - Easy-to-adopt workflow for pipeline deployment and setting up cluster configurations - Perfect reliability We're only using the GCP integration for now, but looking forward to spreading out our workloads across multiple cloud providers!
Report
1yr ago
Chris Jones
Chris Jones
•1 review
Unreal - where has this been all my life!
Report
1yr ago