AI Gets New Benchmark
Google, Baidu spearhead MLPerf
Rick Merritt, EETimes
5/2/2018 11:55 AM EDT
SAN JOSE, Calif. — Google and Baidu collaborated with researchers at Harvard and Stanford to define a suite of benchmarks for machine learning. So far, AMD, Intel, two AI startups, and two other universities have expressed support for MLPerf, an initial version of which will be ready for use in August.
Today’s hardware falls far short of running neural-networking jobs at the performance levels desired. A flood of new accelerators are coming to market, but the industry lacks ways to measure them.
To fill the gap, the first release of MLPerf will focus on training jobs on a range of systems from workstations to large data centers, a big pain point for web giants such as Baidu and Google. Later releases will expand to include inference jobs, eventually extended to include ones run on embedded client systems.
To read the full article, click here
Related Semiconductor IP
- JESD204E Controller IP
- eUSB2V2.0 Controller + PHY IP
- I/O Library with LVDS in SkyWater 90nm
- 50G PON LDPC Encoder/Decoder
- UALink Controller
Related News
- EEMBC Publishes Benchmark Scores for Infineon Technologies' Carmel DSP Core And TriCore TC11IB Microcontroller
- ARC International Releases EEMBC®'s Telecom Benchmark Study
- Improv's Jazz DSP Tops EEMBC's Telecom Benchmark
- EEMBC Publishes Benchmark Scores for Toshiba’s TMPR4927 MIPS-Based 64-Bit RISC Processor
Latest News
- GUC Monthly Sales Report – January 2026
- IBM, Synopsys Move Toward 1.4-nm Node with Heat-Modeling Tech
- UMC Reports Sales for January 2026
- Arm delivers fourth consecutive billion-dollar revenue quarter, extending record-breaking momentum
- BrainChip Announces Immediate Availability of Akida™ Pico for Remote Evaluation via FPGA Cloud