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Agentic AI

A collection of 5 posts

How to Deploy Custom AI Models Securely On-Premise or in Hybrid Environments

How to Deploy Custom AI Models Securely On-Premise or in Hybrid Environments

Deploy custom AI models securely on-prem or hybrid with TrustML™ encryption, built-in compliance, and autonomous fine-tuning—achieving 50–70% cost savings and sub-100 ms latency.

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LLM cost optimization

How to Save 90% on LLM API Costs Without Losing Performance

Learn why LLM API costs skyrocket and discover 7 proven strategies to reduce spending by up to 90% without losing performance. Explore real-world examples, industry insights, and how PremAI helps you build smarter, scalable AI workflows.

Enterprise AI Doesn't Need Enterprise Hardware

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Enterprise AI Doesn't Need Enterprise Hardware

Four obsolete GPUs worth $12,200 delivered performance for sovereign AI. 8x better throughput with SGLang vs Ollama.

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Small Models, Big Wins: Agentic AI in Enterprise Explained

Prem Studio breaks down NVIDIA’s latest research, showing how Small Language Models match or surpass large ones, delivering faster, cheaper, and more efficient AI for enterprise workflows.

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Evaluating LLMs for Text-to-SQL with PremSQL

PremAI’s PremSQL benchmarks GPT-4o, Claude, and Llama 3.1 on BirdBench for Text-to-SQL tasks. Explore execution accuracy, Valid Efficiency Score, and key insights into building efficient, reliable natural language to SQL pipelines powered by today’s leading LLMs.