Intelligent GPU
optimization for
AI & DL Workloads

DeepLM’s technology addresses the challenge of unpredictable and inefficient GPU usage in modern Deep Learning & AI workflows.

Our platform is built on open-source software and helps companies manage and tune a heterogeneous mix of GPUs + CPUs. We’ve developed a learning-based resource allocation model to minimize resource idling and overcommitment.

DeepLM drives down training and inference costs, accelerates time-to-insight, and makes scalable AI accessible to organizations of all sizes.

What is DeepLM?

Why now?

Shortage of compute

GPU demand is 10x the current supply. Teams are stuck waiting for capacity or paying high premiums for limited access.

Software bottleneck

Most schedulers don’t understand AI workloads. They treat every job the same—leading to wasted resources and constant manual tuning.

AI revolution

AI is moving fast, but scaling it shouldn’t be painful. Teams need tools that match the pace of innovation, not slow it down.

Meet the Team

  • Ritesh Nayak

    Co-Founder (Product)

  • Vathsa D

    Co-Founder (Tech)

  • Ravi Pangal

    Co-founder (Sales)

  • Jai Desai

    Advisor

  • Suchir S

    Founding Engineer

  • Archana B