OpenAI's in-house inference chip is claimed to cut latency about 4.2 times versus the reference accelerator
Published · Updated · By Investus editorial desk (SUNRYU Partners)
Benchmark figures surfaced for an inference-only chip OpenAI co-developed with a networking semiconductor partner. At comparable efficiency, it is said to cut latency about 4.2 times against the reference accelerator. Inference is the stage where a trained model produces answers, and latency is the delay between a request and a response.
A full English translation of this report is in progress. The analysis below reflects the original Korean research. Read the Korean original →
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