“With nearly seven times the compute density per transistor, Frost & Sullivan recognizes how Groq’s approach leverages a unique combination of an easy-to-program systems that enables developer velocity and offers low latency and massive throughput in a single compute core that scales near-linearly across multiple chips,” noted Sushrutha Sadashiva, Industry Analyst at Frost & Sullivan. “To this end, the company delivers differentiated features (e.g., sub-millimeter low latency and predictable performance) and outperforms traditional tactics in critical areas, such as performance, power, and accuracy.”
Groq customer, Argonne National Laboratory, has realized Groq-enabled performance firsthand. Argonne computational scientist Tom Brettin said, “Using the Groq platform at Argonne, we were able to accelerate our efforts to identify promising COVID-19 drug candidates from a vast number of small molecules. The system’s AI capabilities enabled us to achieve significantly more inferences a second, reducing the time needed for each search from days to minutes.”
In addition to its growing customer portfolio, Groq continues to develop exceptional partnerships and highly differentiated products that will help it gain an even larger market share. As a result, Groq is expanding its business in a fairly favorable environment where its AI chip attracts considerable interest from global technologists and venture capitalists.
Frost & Sullivan Best Practices awards recognize companies in various regional and global markets for demonstrating outstanding achievement and superior performance in leadership, technological innovation, customer service, and strategic product development. Industry analysts compare market participants and measure performance through in-depth interviews, analyses, and extensive secondary research to identify best practices in the industry.
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Groq is an integrated systems accelerator company specializing in solutions for machine learning that lead in real-time results for AI and HPC workloads. The startup developed the innovative, deterministic single-core Tensor Streaming Processor architecture and a unique compiler that can predict exactly the performance and compute time of workloads. The startup delivers low-latency, accuracy, and scalability to is customers. Groq has raised $367 million to date, with Series C funding co-led by D1 Capital and Tiger Global Management. For more information, visit groq.com.