What Is Batch Invariance in LLM Inference?
Batch invariance means a request produces the same inference result when the server runs it alone, alongside other requests, at a different batch position, or under another supported…
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Batching groups several operations into one piece of work. It can reduce overhead, but also changes latency and error handling.
Batch invariance means a request produces the same inference result when the server runs it alone, alongside other requests, at a different batch position, or under another supported…
Read articleIf you send the same prompt to a mixture-of-experts (MoE) model several times at temperature 0, the answers can still differ. Routing is one possible reason. In each…
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