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According to individuals with inside knowledge, earlier in the month, OpenAI's engineering team shared with select colleagues that they had devised a strategy to cut model inference expenses by over 50% by leveraging a series of cutting-edge optimization methods. When these techniques are implemented in scenarios involving visitors who utilize ChatGPT without having free or paid accounts, the demand for NVIDIA GPUs plummeted to a mere few hundred units. At present, the precise technical details of these methods are still under wraps. However, optimization strategies commonly employed in the industry encompass quantization compression, key-value caching, batch processing of user inquiries, and redirecting a portion of requests to lightweight models or model shards for processing responses.
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