Downloads

Thank you! Please find our validation reports and white paper below:

Executive Report

Full Technical Report

I/ONX White Paper

Document Descriptions:

  • Executive Report: Validates Symphony’s capability to seamlessly orchestrate CPUs, GPUs, ASICs, and FPGAs, demonstrating significant performance improvements in real-world AI workloads.

  • Full Technical Report: Offers detailed benchmarks confirming predictable scaling, robust thermal management, and local execution reliability under intensive conditions.

  • White Paper: Provides insights into the benefits and sustainability of heterogeneous computing for large-scale AI training, outlining how Symphony drastically reduces energy consumption and accelerates processing speeds.

Downloads

Thank you! Please find our validation reports and white paper below:

Executive Report

Full Technical Report

I/ONX White Paper

Document Descriptions:

  • Executive Report: Validates Symphony’s capability to seamlessly orchestrate CPUs, GPUs, ASICs, and FPGAs, demonstrating significant performance improvements in real-world AI workloads.

  • Full Technical Report: Offers detailed benchmarks confirming predictable scaling, robust thermal management, and local execution reliability under intensive conditions.

  • White Paper: Provides insights into the benefits and sustainability of heterogeneous computing for large-scale AI training, outlining how Symphony drastically reduces energy consumption and accelerates processing speeds.

Downloads

Thank you! Please find our validation reports and white paper below:

Executive Report

Full Technical Report

I/ONX White Paper

Document Descriptions:

  • Executive Report: Validates Symphony’s capability to seamlessly orchestrate CPUs, GPUs, ASICs, and FPGAs, demonstrating significant performance improvements in real-world AI workloads.

  • Full Technical Report: Offers detailed benchmarks confirming predictable scaling, robust thermal management, and local execution reliability under intensive conditions.

  • White Paper: Provides insights into the benefits and sustainability of heterogeneous computing for large-scale AI training, outlining how Symphony drastically reduces energy consumption and accelerates processing speeds.

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