| ▲ | mbesto 12 hours ago | |||||||
Not saying your wrong. A few things to consider: (1) We simply don't know what the useful life is going to be because of how new the advancements of AI focused GPUs used for training and inference. (2) Warranties and service. Most enterprise hardware has service contracts tied to purchases. I haven't seen anything publicly disclosed about what these contracts look like, but the speculation is that they are much more aggressive (3 years or less) than typical enterprise hardware contracts (Dell, HP, etc.). If it gets past those contracts the extended support contracts can typically get really pricey. (3) Power efficiency. If new GPUs are more power efficient this could be huge savings on energy that could necessitate upgrades. | ||||||||
| ▲ | epolanski 11 hours ago | parent | next [-] | |||||||
Nvidia is moving to a 1 year release life cycle for data center, and in Jensen's words once a new gen is released you lose money for being on the older hardware. It makes no longer financially sense to run it. | ||||||||
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| ▲ | pvab3 7 hours ago | parent | prev [-] | |||||||
based on my napkin math, an H200 needs to run for 4 years straight at maximum power (10.2 kW) to consume its own price of $35k worth of energy (based on 10 cents per kWh) | ||||||||