NeuralFabric Small Language Models

Smarter, Cost-Effective AI Tailored to Your Business

Achieve higher precision, lower costs, and full control with AI models optimized for cloud, edge, and on-prem environments

Why Build Your Own Small Language Model (SLM)?

While prompt engineering and Retrieval-Augmented Generation (RAG) can get you started with generative AI, they come with limitations in accuracy, cost, and control.

Building your own SLM ensures:
  • Higher Precision – Tailored models outperform generic LLMs and fine-tuned LLMs for domain-specific tasks.
  • Lower Costs – More efficient models reduce pre-training, fine-tuning and inference expenses.
  • Full Control – Own your model, own the weights and biases, ensuring data privacy and reliability without vendor lock-in.
  • Optimized Performance – Deploy lightweight models that run faster on cloud, edge, or on-prem environments.

With NeuralFabric, creating an SLM that fits your exact needs is easier, faster, and more cost-effective than ever.

AI at a Fraction of the Cost

Build custom AI models faster and more affordably. NeuralFabric drastically reduces AI ownership costs, making high-performance models accessible and scalable.

Fast and Scalable

NeuralFabric SLMs achieve significantly higher tokens per second (TPS) than traditional LLMs on the same hardware, with a fraction of the GPU memory requirement. Optimized for cloud, edge, and on-prem deployments, they deliver efficient, high-performance scalability.

NeuralFabric SLM Tokens per SecondNeuralFabric SLM GPU Usage
Llama-3.1-405B10x1/400th
Llama-3.1-70B5x1/100th

Get Started with NeuralFabric Today

Schedule a Discovery Call today and see how our platform can accelerate your AI journey with SLMs designed for cost efficiency, security, and scalability.