Engineering teams report that 68% of production LLM deployments fail within 90 days, per a new breakdown from techcrunch.com. Key culprits: unoptimized inference costs, latency spikes, and inadequate guardrails. Teams that pre-scale GPU capacity and implement canary rollouts see 4x higher retention rates.
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