If vLLM already solved LLM serving, why did SGLang appear?
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LLMs at Scale for Fast API Gateways
500 learners, teaching assistants and faculty needed shared, internet-accessible access to two open-weight models across an active curriculum. ~20 concurrent users at any time would spike around deadlines and live sessions. Every user needed traceable identity and on-demand key revocation. The entire stack had to fit on one 48 GB GPU, maintain sub-10-second latency for live use, and stay simple enough for a small ops team to troubleshoot and recover without vendor tools or database migrations.
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AI adoption isn’t a straight line. Most teams learn that the hard way. This guide reveals how leading enterprises move from first experiments to AI at scale—without getting stuck, burned out, or buried in complexity.
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White PapersAI Unleashed – Cutting Costs, Accelerating Innovation and Scaling Smart with Neocloud
Your AI strategy looks ambitious. Your cloud bill tells another story. This white paper dives into the hidden inefficiencies throttling enterprise AI
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