The new era of enterprise AI is specialized, scalable, and secure

The True Power of Small Language Models

While frontier LLMs like GPT-4 grab headlines, open-source small language models offer enterprises a more sustainable, secure, and cost-effective path to specialized AI.

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“Gartner reports that at least 50% of enterprises have actively considered SLMs in the billion-to-10-billion parameter range over the past year, while Forrester projects a 60%+ surge in SLM adoption this year.”

Composable cloud is reshaping AI infrastructure

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Enterprise AI without the massive overhead

  • Achieve near-frontier performance with compact models that require fewer resources

  • Deploy compact models using just two GPUs – on-prem, in the cloud, or at the edge

  • Reduce infrastructure complexity while still maintaining performance at scale

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Purpose-built AI exclusively for your domain

  • Train and deploy SLMs in the 1B - 10B range for faster and more efficient inference

  • Customize models with domain-specific data to enhance accuracy and relevance

  • Accelerate insights with models tailored to your business context and use cases

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The more intuitive path to scalable AI

  • Small language models are rapidly gaining traction for enterprise-grade AI adoption

  • Open-source models offer transparency, adaptability, and lower TCO

  • Simplify compliance and governance while keeping complete control over your data

Dive into Vultr’s latest whitepaper

Discover how small language models offer a scalable, cost-effective path to enterprise AI – delivering robust performance with fewer resources and greater control.