Enterprises' LLM Security Headache: On-Prem Servers or Sneaky Proxies?
Silicon Valley's latest AI gold rush has enterprises scrambling: keep LLMs in-house on pricey GPUs, or route through proxies to dodge data leaks? Spoiler: neither's perfect, and someone's always cashing in.
⚡ Key Takeaways
- On-prem offers max control but craters budgets with GPU costs and maintenance.
- Proxies provide cheap security layers atop clouds, though trust hinges on vendors.
- Hybrids emerge as pragmatic winners, blending control with scalability—expect dominance by 2027.
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Originally reported by Towards AI
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