Accelerate Deployment of Private Generative AI Software
Enterprise Private AI
KAOPS secures and scales private generative AI deployments for enterprises
Public AI Services
Public AI Services (such as OpenAI) are quick, easy, and low-cost to use, but concerns about security and governance are non-negotiable. You may want AI insights for your business, but you don't want to give these services your private data. The same applies to hyperscalers.
Security and Governance Concerns
These services raise significant concerns about data security and governance. Companies are understandably hesitant to share sensitive information with third-party AI platforms or hyperscalers, despite the potential benefits
Building Proprietary AI Systems
Some companies may choose the alternative of building proprietary AI systems presents its own challenges. While it offers greater control over data security, many companies fear the substantial costs, effort, and specialized expertise required for in-house AI development.
This situation leaves businesses in a difficult position, forced to choose between simplicity, cost-effectiveness, and security. Unfortunately, this trade-off is not ideal as they may compromise either operational efficiency or data protection.
OpenAI-like Gen AI in a Private Datacenter
Recent innovation in open source AI and Kubernetes has made it possible to recreate OpenAI-like generative 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.
Case-in-point: Nethopper KAOPS can be used as a turnkey solution to deploy private and customizable generative AI in just weeks with existing budgets. That's because KAOPS facilitates a reference architecture to support (enable) enterprise private deployments of LLMs/SLMs by delivering infrastructure automation, management, observability, upgradability, and platform tools.
By leveraging KAOPS for your own private generative AI deployments, you get:
20-30% corporate productivity Increase
Productivity of generative AI for your company - unlocked
Private and secure AI compliance
Multi-modal AI (text, audio, pictures, video)
Customizable with your data
Lowest cost private generative AI: scalable and right-sized (uses only as much infra as you need for the queries you make).
Explore how Nethopper KAOPS can help you.
Download Solution Brief |
Solution Details
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 Gen AI.
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 Gen AI 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.