Large Language Models (LLMs) like GPT-4 have taken the business world by storm. Yet many assume these powerful AI tools can only run in the cloud or on specialized supercomputers. In reality, a new trend is emerging: running LLMs on commodity hardware – the kind of servers and devices many companies already own or can easily acquire. Business leaders are paying attention because this approach promises greater privacy, regulatory compliance, and long-term cost savings . In this deep dive, we explore why organizations are bringing AI in-house, how they’re optimizing models for local deployment, and what trade-offs to consider. We’ll also share industry research and real-life examples of businesses gaining an edge with local AI. The Shift Toward Local AI Solutions in Business Enterprise adoption of AI is accelerating across the globe. A May 2024 McKinsey survey reported that 65% of organizations are now regularly using generative AI, nearly double the share from ten months prior ( Get...
Large Language Models (LLMs) like GPT-4 have taken the business world by storm. Yet many assume these powerful AI tools can only run in the cloud or on specialized supercomputers. In reality, a new trend is emerging: running LLMs on commodity hardware – the kind of servers and devices many companies already own or can easily acquire. Business leaders are paying attention because this approach promises greater privacy, regulatory compliance, and long-term cost savings . In this deep dive, we explore why organizations are bringing AI in-house, how they’re optimizing models for local deployment, and what trade-offs to consider. We’ll also share industry research and real-life examples of businesses gaining an edge with local AI. The Shift Toward Local AI Solutions in Business Enterprise adoption of AI is accelerating across the globe. A May 2024 McKinsey survey reported that 65% of organizations are now regularly using generative AI, nearly double the share from ten months prior ( Get...