Arrr, the new AI test be like settin' a course for treasure and seein' how fast the crew obeys orders!
2024-03-28
Arrr, me hearties! The scallywags at the benchmarking group be sharin' news o' their latest findings on the swift sails o' hardware when it comes to runnin' AI applications and answerin' to landlubbers. 'Tis a jolly good read for any seafarin' tech enthusiast!
Arrr, me hearties! The scallywags at MLCommons be releasing a new set o' tests and results to rate the speed at which the top-of-the-line hardware can run AI applications and respond to users, yarrr!These new benchmarks measure the quickness at which the AI chips and systems can generate responses from powerful AI models filled with data. This be showin' how fast an AI application like ChatGPT can give a response to a user query, matey.One of the new benchmarks, Llama 2, can measure the speediness of a question-and-answer scenario for large language models, with a whopping 70 billion parameters, courtesy of them landlubbers at Meta Platforms.MLCommons also added a second text-to-image generator to their suite of benchmarking tools, called MLPerf, based on Stability AI's Stable Diffusion XL model, arrr!Nvidia's H100 chips, found in servers built by Google, Supermicro, and Nvidia themselves, won both new benchmarks for raw performance. Some other server builders tried their luck with designs based on Nvidia's L40S chip, while Krai came in with a Qualcomm AI chip for the image generation benchmark, drawin' less power than Nvidia's processors.Intel also joined the fray with their Gaudi2 accelerator chips, claimin' "solid" results. But remember, me hearties, raw performance be not the only thing to consider when deployin' AI applications. Balancin' performance with energy consumption be a key challenge for AI companies, matey!MLCommons be also keepin' an eye on power consumption with a separate benchmark category. So, me hearties, keep a weather eye on the horizon for more updates from the world of AI benchmarking!