![]() ![]() ![]() ![]() In prepared remarks, GreenWaves stated that Gap9 "delivers extraordinarily low energy consumption on medium-complexity neural networks, such as the MobileNet series in both classification and detection tasks, but also on complex, mixed precision recurrent neural networks, such as our LSTM based audio denoiser. The company submitted its Gap9 AI accelerator in combination with a RISC processor. Either way, neither of the older Navi 10 GPUs are particularly performant in our initial Stable Diffusion benchmarks. In one test of TinyML, an image recognition test using the CIFAR data set and the ResNet neural net, GreenWaves (which is headquartered in Grenoble, France), took the top score for having the lowest latency to process the data and come up with a prediction. That competition, in which Nvidia so far has not participated, has an interesting diversity of chips and submissions from vendors, such as chip makers Silicon Labs and Qualcomm, European technology giant STMicroelectronics, and startups OctoML, Syntiant, and GreenWaves Technologies. Those submissions included a mix of systems from Nvidia and partners and also Fujitsu's Fugaku supercomputer that runs its own chips.Īlso: Neural Magic's sparsity, Nvidia's Hopper, and Alibaba's network among firsts in latest MLPerf AI benchmarksĪ third competition, called TinyML, measures how well low-power and embedded chips do when performing inference, the part of machine learning where a trained neural net makes predictions. A key element of MLPerf, said Salvatore, is to rigorously publish the test setup and code to keep test results clear and consistent across the many hundreds of submissions from dozens of companies.Īlongside the MLPerf training benchmark scores, Wednesday's release by MLCommons also offered test results for HPC, meaning, scientific computing and supercomputers. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |