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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
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.
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.
Enterprise AI without the massive overhead
Purpose-built AI exclusively for your domain
The more intuitive path to scalable AI
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
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
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