MLPerf
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Explore more → **MLPerf**
What is MLPerf?
MLPerf is a benchmark suite designed to measure the performance of machine learning hardware and software. It provides a standardized way to evaluate and compare the speed and accuracy of different ML systems across various tasks, including image classification, object detection, natural language processing, and recommendation.
What other technologies are related to MLPerf?
MLPerf Complementary Technologies
Slurm
Slurm is a workload manager often used to schedule and manage jobs across the compute nodes used for MLPerf benchmarks. It helps to manage the distributed resources utilized by MLPerf.
InfiniBand
InfiniBand is a high-performance networking technology commonly used in HPC environments to provide fast communication between compute nodes. This is a crucial technology for distributed training in MLPerf.
CUDA
CUDA is a parallel computing platform and programming model developed by NVIDIA. MLPerf benchmarks often utilize NVIDIA GPUs, making CUDA essential for achieving high performance.
Number of organizations that mention technology
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Which job functions commonly mention MLPerf?
Performance Engineer
0.3% of all Performance Engineer jobs mention MLPerf
View 37
jobs on Sumble
AI Engineer
0.1% of all AI Engineer jobs mention MLPerf
View 44
jobs on Sumble
Machine Learning
22 Machine Learning jobs mention MLPerf
View 22
jobs on Sumble
Data, Analytics & Machine Learning
68 Data, Analytics & Machine Learning jobs mention MLPerf
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jobs on Sumble
Engineer
135 Engineer jobs mention MLPerf
View 135
jobs on Sumble
Which organizations are mentioning MLPerf?
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