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The apparent reply could be Nvidia’s new GB200 methods, primarily one big 72-GPU server. However these price hundreds of thousands, face excessive provide shortages, and aren’t accessible in every single place, the researchers famous. In the meantime, H100 and H200 methods are plentiful and comparatively low-cost.
The catch: operating massive fashions throughout a number of older methods has historically meant brutal efficiency penalties. “There aren’t any viable cross-provider options for LLM inference,” the analysis workforce wrote, noting that current libraries both lack AWS help completely or endure extreme efficiency degradation on Amazon’s {hardware}.
TransferEngine goals to vary that. “TransferEngine permits transportable point-to-point communication for contemporary LLM architectures, avoiding vendor lock-in whereas complementing collective libraries for cloud-native deployments,” the researchers wrote.
