As enterprises race to adopt generative AI, many face the same roadblocks: skyrocketing costs, growing latency, and a lack of control over their models and data. The solution? Small language models (SLMs).
SLMs are emerging as the ideal choice for enterprises that want the power of AI without the bloat. They’re faster, more efficient, and easier to fine-tune – making them perfect for real-time applications, on-prem or hybrid deployment, and use cases where data privacy is non-negotiable.
Our latest whitepaper explains why SLMs are the future of enterprise AI and how to harness their potential using Vultr’s global AI infrastructure.
Download the whitepaper to explore:
- Real-world use cases for SLMs: Discover how enterprises across industries use small language models for everything from customer support chatbots and virtual assistants to real-time decision-making in finance and personalized recommendations in retail.
- Performance benchmarks and cost comparisons: See how SLMs stack up against larger models regarding inference speed, hardware efficiency, and cost per query. Learn why SLMs deliver a better ROI for many production workloads.
- How to deploy and scale SLMs on Vultr: Get practical guidance on spinning up SLMs across Vultr’s high-performance cloud GPUs, managing hybrid or multi-cloud setups, and using Vultr’s tools to streamline fine-tuning, deployment, and orchestration.
Read it now and get the insights you need to make smart, scalable AI decisions.