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Gryf: A New Era in Sports Analytics at the Edge

Real-Time Performance Insights Anywhere, Anytime

Co-designed by GigaIO and SourceCode, Gryf™ delivers instant sports data analytics at the edge, enabling cutting-edge performance monitoring, analytics, and real-time decision-making. Gryf’s powerful, on-site analytics helps teams produce better athletes, improve team performance, and focus on what matters most — winning.

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Gryf Suitcase-sized AI Supercomputer with Sleds pulled out

Why Gryf for Sports Analytics?

Adjust Plays in Real Time

Get real-time analytics at all the away games and adjust plays on the fly during gametime.

Wearable Sensor Data

Process data from wearable devices instantly on site for immediate decision support.

Prevent Injuries

Tailor training in real time to reduce overexertion and optimize recovery strategies.

Complete 360° View

Integrate performance data with on-site video for a complete view of athlete performance.

Game-Changing Advanced AI for Next-Gen Sports Performance

Gryf is the world’s first carry-on suitcase-sized AI supercomputer that brings datacenter-class computing power directly to sports arenas and training facilities, enabling real-time performance analytics and decision-making through its configurable, field-ready design that processes vast amounts of data securely, right at the venue.

  • Trusted by Leading Sports Organizations
    Gryf transforms sports analytics, from real-time coaching decisions to long-term performance optimization.
  • Empower Coaches and Performance Staff
    Monitor athlete movements and biometrics instantly, and improve training efficiency and injury prevention.
sm-web_sports-analytics-concept
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Download the Data Sheet

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What’s Your Edge?

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Niraj Mathur

Niraj has over 20 years of industry experience in strategic and product marketing, product management, business development, customer applications and advanced silicon engineering. He has held senior leadership roles and led global, cross-functional teams to support these disciplines. Niraj was instrumental in driving numerous successful networking products at Nortel Networks, Quake Technologies, AppliedMicro, Snowbush, Gennum, Semtech and Rambus. He has defined, developed and supported carrier grade hardware and software for the world’s leading telecom, enterprise and cloud customers. His past projects include Ethernet PHYs, core Internet switches, metro optical routers, high-speed silicon IPs and PCI Express products. Niraj holds a Bachelor of Computer Engineering from McGill University and an MBA from Cornell University.

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