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The easiest, fastest, and cheapest way to train and deploy LLMs
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10X cheaper
than GPT-4o
5 minute
SDK setup
Use the UI
no coding required
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The easiest, fastest, and cheapest way
to fine-tune open source models
Step 1
Integrate the Impulse SDK less than 5 minutes
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Step 2
Upload your dataset
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Step 3
Start Training
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Key Benefits
12X
than GPT-4o
/ 01
5 minutes
Only 5 minutes needed to start training
/ 02
Easy
to use SDK & UI
/ 03
Privacy Preserving
Support for privacy preserving ML through TEEs
/ 04
Simple
No need to build your own ML infrastructure
/ 05
The world’s highest
quality and cheapest inference engine
Deploy any open source or fine-tuned model
Customize your hardware configuration
Only 5 minutes needed to deploy a model
Support for privacy preserving ML through TEEs
Serverless and Dedicated endpoints for any model
No need to build your own ML infrastructure
Our Infrastructure
Impulse SDK
Impulse’s SDK enables you to start training and deploying models in minutes
Job Orchestration Engine & Scheduler
Impulse use the exact compute for your requirements, including the right location, CSP reputation, TEEs if required, and more
ML Training & Inference Infrastructure
Impulse’s training and inference infrastructure is custom built and optimized for high performance, low latency, and low cost
Global Cloud
Impulse’s global AI cloud is powered by public cloud, private cloud providers, and world-class data centers
We’re Building the Future of Open Source AI
Decentralized Compute Network
The world’s most advanced GPU cloud with clusters in every region.
Proof of Training and Inference
Cryptographically prove that training and inference ran correctly.
Impulse SDK
Start training and deploying models in less than 5 minutes.
Never run out of compute
Autoscale instantly, pay for what you use, and eliminate idle time.
Privacy Preserving AI
Run training and inference in TEEs, guaranteeing data privacy.
We Serve
Researchers
Universities
Individuals
Companies
Compute Providers
What our customers say
The team at EQTY faced a critical deadline in order to train our open source LLM, ClimateGPT, for COP28. In the summer of 2023 GPUs were nowhere to be found but the Lumino team delivered A100s and allowed us to start the project.
Andrew Stanco
EQTY Lab
The Lumino founders were great to work with! Lumino not only helped to rapidly fine-tune and iterate on our Llama2 and Mistral models, and it was cheaper than anything else we could get.
Arun Reddy
BotifyMe
We were able to get up and running quickly with Lumino, and the product made training our models super easy. Were excited to partner with them for our future training!
Pritika Mehta
Butternut Al
Before working with Lumino we had trouble getting access to cheap compute. With Lumino, we were able to get access to GPUs instantly at a reasonable price. We now plan on working with them for our fine-tuning needs!
Chandan Maruthi
Twig
We're Building the Future of Open Source Al
Decentralized Compute
Run training on inference on localized clusters provided by Compute Providers. Distribute training and inference across GPUs in different regions for mass savings.
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Proof of Training and Inference
Cryptographically prove training and inference ran correctly
Lumino SDK
Start training and running inference is less than 5 minutes
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Never run out of compute
Autoscale instantly and eliminate any idle time.
Al Superchain
A hyper scalable chain built for high privacy and low fees.
Backed by
