build1 distinct publisher
Emulating bfloat16 on a T4G burns 87% of decode on dtype conversion
Identical code and identical weights diverge 3.7x on decode between a T4G and an L4, because Turing has no bf16 datapath and XLA emulates one in fp32 while the instance keeps returning 200s and green health checks.
Publishers:dev.to
Reality
- Evidence62
- Adoption12
- Hype gap−5
- Incentives30