Pepperdata, the leader in Kubernetes resource optimization in the cloud and on prem, today announced the general availability of pepperdata.ai, a groundbreaking, automated optimization solution to reduce the cost of running AI workloads on GPUs. Attendees are invited to visit Pepperdata's booth #1841 at KubeCon and CloudNativeCon North America 2025 on November 11-13 at the Georgia World Congress Center in Atlanta, GA, to discover how Pepperdata helps organizations—including members of the Fortune Five—automatically maximize the efficiency and cost-effectiveness of their AI infrastructure and workloads.
"As enterprises scale up GPU infrastructure to support AI initiatives, they are discovering a painful truth: Most GPUs are underutilized. Expensive hardware sits idle or fragmented, while operators struggle to balance performance, cost, and access," said Ash Munshi, CEO of Pepperdata. "Pepperdata intelligently allocates and manages GPU resources, ensuring that critical AI workloads, including Real-Time Inference, Batch Inference and Jupyter Notebooks, receive the necessary computing power while eliminating waste and delivering substantial savings and faster time-to-insight."
Pepperdata offers two powerful and complementary solutions for GPU resource optimization:
GPU Demand Optimization empowers platform owners to:
- Identify mismatches between GPU supply and demand
- Shift demand strategically by time or GPU type
- Maximize GPU usage by spreading demand across your GPU footprint
GPU Resource Optimization leverages NVIDIA's Multi-Instance GPU (MIG) feature to automatically partition GPUs into secure, independent pools for intelligent workload placement, enabling platform owners to:
- Achieve more effective GPU usage in the cloud or on prem
- Increase throughput automatically by running more workloads to completion
- Realize significant cost savings
As part of this launch, the first 20 visitors to Pepperdata's booth #1841 at KubeCon who join the Pepperdata.ai launch program will receive the first month of usage for free. Visitors to the Pepperdata booth at Kubecon will also have the opportunity to:
- Explore pepperdata.ai and its advanced GPU resource optimization capabilities
- Discuss specific GPU optimization use cases and challenges
- Win an Apple iPad in Pepperdata's Guess the Peppers Contest
- Pick up a bottle of Pepperdata's famous hot sauce—apply the sauce and reduce the costs!
Pepperdata also invites interested companies to partner with Pepperdata to build smarter AI infrastructure and deliver GPU performance without waste. Visit our dedicated partner page at www.pepperdata.com/partners to learn more and take the next steps.
To schedule a meeting with the Pepperdata team at Kubecon, please contact Dan Marx, Vice President of Sales, at dan@pepperdata.com. For partnership inquiries, contact Paul Tilston, Head of Alliances, at paul.tilston@pepperdata.com.
About Pepperdata
Pepperdata delivers dynamic resource optimization for Kubernetes workloads and AI infrastructure—on premises, in the cloud, and for GPUs. Since 2012 Pepperdata has helped companies ranging from startups and mid-sized ISVs to top enterprises such as Citibank, Autodesk, Magnite, Royal Bank of Canada, and members of the Fortune Five save over $250 million. Learn more at pepperdata.ai.
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Pepperdata optimizes GPU efficiency and spend. Match GPU supply with demand across your GPU footprint. Maximize GPU utilization at scale. Dramatically reduce costs.
Contacts
Heidi Kay Carson
Product Marketing
Pepperdata, Inc.
heidi@pepperdata.com