"NVIDIA's computing stack is the best performance per TCO in the world, bar none. Nobody can demonstrate to me that any single platform in the world today has better performance TCO ratio."
"Huang argued NVIDIA leads on performance per dollar for token generation and performance per watt, and challenged competitors directly, saying TPUs and Trainium will not show up to compete at benchmarks like MLPerf Inference Max."
"The margins come from genuine performance advantages, with NVIDIA engineers embedding deeply with AI labs and regularly delivering 2x or 3x performance improvements on existing infrastructure."
"Software optimizations improved Blackwell's performance by 1.5x in a single month, and Hopper's inference performance improved four times over two years through the CUDA ecosystem."
NVIDIA CEO Jensen Huang asserts that the company's computing stack offers the best performance per total cost of ownership (TCO) globally. He emphasizes that no other platform can match NVIDIA's AI output per dollar spent. Huang challenges competitors like TPUs and Trainium, citing superior performance metrics in benchmarks. He also refutes the notion that NVIDIA's success is solely due to developer lock-in, highlighting genuine performance advantages and significant software optimizations that enhance revenue for customers.
Read at 24/7 Wall St.
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