Pepperdata for GPUs: Optimize GPU Spend and Efficiency at Scale

PEPPERDATA RESOURCE OPTIMIZATION maximizes utilization and significantly reduces GPU cost by leveraging NVIDIA's Multi-Instance GPU (MIG) feature. Pepperdata partitions single GPUs into secure, independent GPU slices, creating three GPU slice pools in your environment for workload placement. Based on real-time data about GPU usage and demand, Pepperdata dynamically adjusts the capacity of each pool, scaling up or down as needed to prevent underutilization and bottlenecks. Pepperdata then intelligently assigns workloads to the most appropriate GPU partitions, learning from historical usage patterns to refine these assignments over time. The result is a fractional GPU slice management solution that rightsizes workload placement to dramatically minimize resource waste for GPU-intensive workloads.

PEPPERDATA DEMAND OPTIMIZATION provides you with a holistic understanding of GPU supply and demand in your environment. Pepperdata empowers you to make data-driven decisions about shifting GPU workload demand based on schedule or GPU type. Instead of reacting to requests from across the company, you can now proactively address imbalances between GPU demand and availability.

BENEFITS OF PEPPERDATA FOR GPUs

1. MORE EFFECTIVE GPU CAPACITY: Pepperdata maximizes GPU compute and memory utilization in the cloud or on prem.

2. IMPROVED GPU RESOURCE ALLOCATION: Pepperdata equips platform owners with the information they need to ensure that GPUs are consistently operating at optimal capacity.

3. AUTOMATICALLY INCREASED THROUGHPUT: More available GPUs and increased utilization mean more workloads can run to completion with the same resources. Furthermore, smaller, less demanding workloads can complete quickly, without having to wait for a full GPU to become available.

4. REDUCED OVERPROVISIONING: With accurate insights into true demand from Pepperdata, platform owners can avoid unnecessary GPU scaleups in the cloud or additional capital expenditures on prem.

5. SIGNIFICANT COST SAVINGS: Pepperdata cuts costs by running more workloads on fewer GPUs.

SUPPORTED TECHNOLOGIES GPUs Resource Optimization: NVIDIA A100 and newer GPUs, Demand Optimization: All NVIDIA GPUs

ENVIRONMENTS Amazon EKS

WORKLOADS Real-Time Inference Batch Inference Jupyter Notebooks

PEPPERDATA: YOUR TRUSTED PARTNER Pepperdata delivers dynamic resource optimization for Kubernetes workloads and AI infrastructure. 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.