AI Product Chief On Why HPE Has The Right Strategy To Win A ‘Significant Chunk’ Of Public Cloud AI Market
Summary
The supercomputing-class public cloud capability that HPE is bringing to the table provides “efficiency and reliability” in running AI models that spell big savings for customers compared with public cloud, said Sparks. When you are leasing [public] cloud GPUs, you pay for them whether they work and solve your problem or not. You might get a node that fails partway through and so on and you paid for the time it took to run your job up until that point, even if the end result is no good for you at this point.” HPE, said Sparks, is providing a “very powerful alternative to the public cloud” for Large Language Models. As to the specific data HPE has seen with regard to customer savings in initial trials of its public cloud AI offering, Sparks said, “We have a program where we do a total cost of ownership approach with our customers in these kinds of settings and the savings are significant.” The bottom line: HPE’s battle-tested supercomputing and high-performance compute prowess in building reliable AI systems with good output ends up “being way lower” than rival public cloud offerings because “you are not spending your time refining over and over these jobs that fail,” said Sparks. It has been really an incredible growth story over the last couple of years here.” Sparks said HPE has the right strategy, people and intellectual property to win a “significant chunk” of the public cloud AI land grab.