Small Specialized models
is All you need

Small Specialized Models Is All You Need

The full-stack AI infrastructure

Serve and finetune any open-source model in your private cloud

Create highly accurate small models on your private data

with a Simple UI - No Code Required

Serve models, train on GPUs, Host apps

with a Simple UI - No Code Required

Trusted by Engineers

Trusted by Engineers

Why Use SlashML

Why /ML?

Build custom genAI solutions, the fastest, safest and most efficient way

Don't waste time fighting configs
We have a Docker and a UI for EVERYTHING

Data sovereignty

Data sovereignty

Serve Large Language models

Data stays on-premise, no data leaking

Data stays on-premise, no data leaking

In /ML cloud or YOUR cloud

Multi-cloud support

Multi-cloud support

Serve and train Multi-modal models

Integrates seamlessly with major cloud platforms for easy setup and control.

Integrates seamlessly with major cloud platforms for easy setup and control.

on /ML Workspaces or Your workspace

in other words, our GPUs or Yours

Flexibility

Flexibility

Host your Streamlit, Gradio and Dash Apps

Choice over any open-source Generative Large Model

Choice over any open-source Generative Large Model

Share your dashboards and apps with users


Cost observability


Cost observability


All while keeping observability

Increase cloud cost visibility and gain clear insights into cloud spending

Increase cloud cost visibility and gain clear insights into cloud spending

Visibility over all your deployments and cloud spending control

Auto-scaling and uptime

Auto-scaling and uptime

Bring your Agents to life

Automatically scale resources up or down to manage cyclical demand and reduce idle time costs

Automatically scale resources up or down to manage cyclical demand and reduce idle time costs

We wrap your agents in endpoints, no matter the framework, no matter the logic


Serve /ML text-to-SQL SOTA model

And fine-tune it on your schema when needed

Stop Wasting Time Fighting For GPUs

Ready to scale your AI?

We handle the infra
your team focuses on the application

©2024 – Made with ❤️ & ☕️ in Montreal

©2024 – Made with ❤️ & ☕️ in Montreal

©2024 – Made with ❤️ & ☕️ in Montreal