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.
“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
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
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
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.