Intelligent GPU Orchestration for
AI & ML Workloads

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

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

DeepLM drives down 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

    Founder

  • S D

    Founder

  • Achyuth Kolluru

    Founding Engineer

  • Ravi Pangal

    Head of Sales

  • Jai Desai

    Head of Business Development

  • Suchir S

    Founding Engineer

  • Archana B

INVEST

We’re raising a seed round. Building the future of AI requires partners who see the same massive opportunity we do. We are looking to connect with investors who share our excitement about:

  • The massive compute infrastructure opportunity in AI

  • The critical role of efficient, scalable solutions in AI's next phase

  • Building technology that enables rather than limits AI innovation

Please reach out at invest@deeplm.ai for more information.