What does “fungible” mean for AI infrastructure?
NVIDIA frames its AI infrastructure as 'fungible' — one platform for all accelerated workloads via CUDA
“it maximizes throughput per megawatt to maximize revenue and deliver lowest token cost to maximize your profit margin”
NVIDIA is promoting 'fungibility' as a core value proposition for its AI infrastructure — the idea that GPUs running CUDA can flexibly handle diverse accelerated workloads because they all reduce to the same parallel math. The pitch centers on throughput per megawatt and lowest token cost as the key ROI metrics. This is marketing-layer infrastructure messaging rather than a new product announcement, but it signals how NVIDIA is framing competitive positioning against specialized accelerators.