MLPerf

Driving Smarter ML Decisions with Scopic’s Development Solutions

The Challenge

Machine learning (ML) has emerged as one of the most popular technologies in today’s digital landscape. However, with a growing number of ML-powered tools on the market, companies face the challenge of knowing which solutions truly deliver accurate, reliable results.

Evaluating these tools is both a time-consuming and complex task, requiring a combination of metrics to accurately assess a system and ensure it interprets human language across different contexts.

The Vision

The founders of MLPerf recognized the growing demand for a tool that simplifies ML benchmarking. Their goal was to create a tool capable of comparing machine learning workloads across a range of devices, including laptops, desktops, and workstations.

Their team quickly recognized that developing a tool that helped businesses make more informed decisions about AI required a comprehensive strategy and a partner that knew how to leverage advanced technologies.

The Scopic Solution

ML Commons partnered with us to develop MLPerf, a leading benchmarking tool designed to measure the performance of machine learning systems on a wide range of hardware.

Our team leveraged advanced technologies—such as C++, Python, and CMake—to create a tool capable of:

Evaluating the performance on diverse ML tasks, including image recognition, natural language processing, and recommendation systems.

Comparing results across multiple hardware and software configurations.

Optimizing system performance for specific workloads using insightful metrics.

Our developers also implemented automated testing and stepped in to manage time-sensitive responsibilities typically handled by Independent Hardware Vendors—delivering everything needed to help MLPerf become a trusted name in the AI and machine learning community.

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