Advanced Tovi Products: Industry-Specific Plug-ins

The Tovi Core is an intelligent resource manager and job scheduler that can integrate with your existing pipeline. Tovi also provides industry-specific, advanced products as modular plug-ins for a wide range of HPC applications, including:

  • Artificial Intelligence and Machine Learning: These jobs require specialized resources like GPUs and FPGAs to expedite model development, training, and deployment.
  • Oil & Gas: HPC computing is key for the digital oilfield, including upstream discovery and the mapping of ocean floors as well as for production, optimization and design.
  • Synthetic Data Generation: Critical for modern AI/ML development, synthetic data generation requires demanding HPC clusters.
  • Financial and Engineering Simulations: These jobs often demand low-latency and high-throughput scheduling and may be comprised of tens of thousands of short-running tasks.
  • Computational Fluid Dynamics (CFD) Simulations: These simulations require executing jobs in parallel across many hundreds or even thousands of nodes. This complicated effort requires specialized scheduling and job management features to allocate and launch such jobs and then to checkpoint, suspend/resume or backfill them.
  • 3D Rendering: These jobs require significant computational resources to render scenes for artists and filmmakers.

Example: Tovi AI/ML Plug-In

Tovi is designed as a modular solution that doesn’t force you into any particular pipeline. However, Tovi also provides plug-ins for a wide range of applications. One such application is shown below for Artificial Intelligence and Machine Learning. The Tovi AI/ML plug-in allows the user to easily create hundreds of jobs with multiple parameters for full factorial experiments, enabling efficient parameter tuning. The Tovi AI/ML plug-in is being used by leading AI/ML researchers and can help you accelerate your AI/ML models to productions.

The Tovi AI/ML Plug-in includes a suite of Machine Learning Quality Assurance (MLQA) tools that facilitates the training and deployment of generalizable ML models. The MLQA tools provide AI researchers with more insight during every step of the modeling process to identify and pre-emptively address flaws in modeling methodology, thereby avoiding unpleasant surprises in deployment. Tovi’s MLQA tools are a key advantage that ensure AI/ML models are robust and trusted for mission-critical applications. The MLQA tools have a proven history of improving the training and deployment of generalizable and trusted ML models. 

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