Deploy Private AI/LLMs
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Public AI Services (i.e., OpenAI) are quick, easy and low cost to use.
But are they secure?
If you want AI insights to your business, you have to give them your private data.
Given the history of hyperscalers, most companies won’t trust public AI with that data.
A company can choose to build their own, but fear the cost, effort, and expertise required.
These companies are left to choose between simplicity, cost and security, which is not a good tradeoff.
However, recent innovation in open source AI and Kubernetes has made it possible to recreate OpenAI-like Gen AI in a private and secure cloud or data center where a company's data remains private and secure.
And this can be done for surprisingly low cost, as it can automatically scale to use only the resources required.
With KAOPS, you get:
20-30% corporate productivity Increase
Unlock the productivity of GenAI for your company.
Private and secure AI compliance
Multi-modal AI (text, audio, pictures, video)
Customizable with your data
Lowest cost AI
Scalable and Right-size (uses only as much infra as you need for the queries you make).
Explore how KAOPS can be used as a turnkey solution to deploy private and customizable GenAI in just weeks with existing budgets.
Almost everyone sees the value of being more productive using Gen AI. And hyperscalers AI companies like OpenAI, AWS, GCP, Azure, Facebook make it really easy to prompt and consume.
However, while they make it easy, can we trust them to make it secure and private?
There’s little risk in asking OpenAI a simple question, like “what is Gen AI?” because I haven’t given it any information.
But, what if I give OpenAI my sales data for the last 4 quarters, and ask it for insights? What will OpenAI do with my data?
This won’t pass a security and compliance test at many companies.
The good news is that you don’t have to choose between simplicity, productivity and security. You can have all three. You just have to run your own private instance of GenAI.
You may think that this requires a $100B and a team of AI PHD experts, but it doesn’t.
Driven by open source software and cloud native platforms, you can have a private version of GenAI running in any cloud or datacenter in just a few weeks for less than $1M per year.
Solution requirements:
KAOPS (cloud native management platform)
Any vloud - public or private
Kubernetes
Open-source Gen AI framework, i.e., Ollama, Huggingface
With KAOPS, you get:
All the productivity benefits of multi-modal OpenAI (including ChatGPT-like), without giving any of your data to the hyperscalers.
Private and Secure AI
Multi-modal AI (text, audio, pictures, video)
Customizable with your data
Scalable and right-sized (uses only as much infra as you need for the queries you make).
How KAOPS does it
Nethopper KAOPS is a cloud native management platform that works with any cloud and kubernetes, which uses GitOps blueprints to simplify cloud operations and deploy container workload and cloud native tools.
KAOPS has a blueprint for deploying multi-modal GenAI to any (your) cloud or Kubernetes.
And we auto scale the right type and amount of infrastructure (compute, graphics, storage, and network) to make it perform.