One of the advantages of CompactifAI is that the compressed model can run anywhere - it can run on x86 servers on premise if security or governance reasons are a concern, but it can also run on the Cloud, our laptop or any device. You choose.
Cut LLM Costs.
Keep the Performance Without Losing Accuracy.
Compactify helps enterprise teams compress large language models up to 95% while preserving 98% of performance—making AI projects much more affordable to implement across MLOps pipelines.
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Learn how CompactifAI can streamline your AI operations and drive your business forward.
Cut LLM Costs.
Keep the Performance Without Losing Accuracy.
Compactify helps enterprise teams compress large language models up to 95% while preserving 98% of performance—making AI projects much more affordable to implement across MLOps pipelines.
Where can the compressed models run?
What LLM models does CompactifAI support?
CompactifAI is compatible with commercial and open-source models like Llama2, Mistral, Bert and Zephyr. It needs to have access to the model itself to be able to compress it. OpenAI provides an API to access (query) the model, therefore Multiverse Computing’s product is not able to compress it.
How is CompactifAI sold?
Multiverse Computing can provide a license to use CompactifAI in an infrastructure, or the model can be compressed and given to you and accessed through a service provider.
How does CompactifAI affect R.A.G.? (Retrieval Augmented Generation)
One of the advantages of CompactifAI is that it reduces the resources needed to run RAG and greatly speeds up the inference time.
What are the hardware requirements for the model?
Minimum requirements to run the models stated below. These are not necessarily the requirements needed to make this work on real application. In particular, at inference time the requirements will vary depending on the required latency (response time) and throughput (tokens per second) for the system. The latter is related to the number of simultaneous users you can serve. Consider these requirements as a lower bound; improving latency and throughput would require more powerful GPUs, such as NVIDIA H100 GPUs with 40GB or 80GB of VRAM . [source 1, source 2, source 3]
Training, LLM of 7b at FP16:
GPU: 8 NVIDIA A100 GPUs each with 40GB of VRAM
RAM system: 320 GB
Disk space: 40 GB
Training, LLM of 70b at FP16:
GPU: 32 NVIDIA A100 GPUs each with 40GB of VRAM
RAM system: 1280 GB
Disk space: 200 GB
Inference, LLM of 7b at FP16:
GPU: 1 x NVIDIA A10 GPUs with 24GB of VRAM (or higher models)
RAM system: 16GB
Disk space: 16GB
Inference, LLM of 70b at FP16:
GPU: 8 x NVIDIA A10 GPUs with 24GB of VRAM (or higher models)
RAM system: 64GB
Disk space: 140GB
Who retrains the model once it is compressed?
Customers can retrain the model if they have the platform and resources to do it. Multiverse Computing can also provide this service at a cost to the customer.
How can I access CompactifAI? Is it an API, a platform?
We are building an access API. However, we also offer on-premise deployments and are flexible according to the needs of the clients.
Is CompactifAI open source? Do you share CompactfifAI on Github?
No. It is not open source. We do not currently share CompactifAI on GitHub.
Can CompactifAI be applied to other large AI architectures: other NLU, ViT (real time video), CNN (image), etc?
Yes. We developed it to compress any linear and convolutional layer used in standard LLMs. If there is a model with a custom layer, we can quickly adopt it in CompactifAI.
Can CompactifAI run for multi-modal models?
It is in our roadmap. We are developing the next version of the compressor which supports multi-modal models.
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Benefits of Using CompactifAI
Revolutionizing AI Efficiency and Portability: CompactifAI leverages advanced tensor
networks to compress foundational AI models, including large language models (LLMs).
This innovative approach offers several key benefits:
Cost Savings
Lower your energy bills and reduce hardware expenses.
Privacy
Keep your data safe with localized AI models that don't rely on cloud-based systems.
Speed
Overcome hardware limitations and accelerate your AI-driven projects.
Sustainability
Contribute to a greener planet by cutting down on energy consumption.
The Solution
Enhanced efficiency
Drastically reduces the computational power required for AI operations.
Specialized AI models
Enables the development and deployment of smaller, specialized AI models locally, ensuring efficient and task-specific solutions.
Privacy and Governance Requirements
Supports the development of private and secure environments, crucial to ensure ethical, legal, and safe use of AI technologies.
Portability
Compress the model and put it on any device.
Tailored AI Solutions for Every Sector
From enterprises to startups to public institutions, CompactAI scales to fit your needs.
Private and Sustainable AI for public services and citizen data
CompactifAI brings enterprise-grade LLMs to your internal systems
From government operations to healthcare systems, CompactifAI enables governments to safely deploy AI models that respect data privacy, improve service delivery, and reduce administrative burdens.
Deploy secure AI models on private and local infrastructure
Enhance frontline services with compessed AI models
Improve transparency with locally deployed AI
AI agents that work as fast as you do
Startups use CompactifAI to ship faster, automate early ops, and explore ideas with fewer resources. Plug into your data stack, test use cases quickly, and launch copilots that scale with your team.
Build AI-powered workflows with low-code tools
Evaluate LLMs and test ideas without infra overhead
Perfect for lean product, ops, and GTM teams
Enterprise-ready AI, now faster and smarter.
CompactifAI brings enterprise-grade LLMs to your internal systems
—safely and scalably. Whether you’re optimizing operations, automating reports, or building AI copilots for your teams, CompactifAI lets you slash compute and energy costs by half.
Deploy compressed AI models on private enterprise infrastructure
Integrate with legacy and modern systems (CPU, GPU, etc.)
LLM performance at a fraction of the size
Easily deploy CompactifAI with your favorite AI platforms and MLOps tools.
Simple Pricing, Built Around Your Needs
Essentials
Run CompactifAI on a single model with up to 10B parameters.
Advanced
Compress multiple models with full MLOps integration and monitoring tools.
Premier
Enterprise-wide license with custom SLAs, compliance review, and model-specific tuning.
Frequently Asked Questions
Ready to transform your AI Capabilities?
Contact us today to learn how CompactifAI can streamline your AI operations and drive your business forward.
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