Maximize Every GPU. Minimize Every Bottleneck.
Virtana gives infrastructure teams deep visibility into GPU performance, utilization, and health—so you can keep AI workloads running fast, efficient, and trouble-free.
40% Reduction in Idle GPU Time
Real-time visibility and optimization lowered GPU underutilization across environments.Global FSI Customer
60% Faster Root-Cause Diagnosis
AIFO cut MTTR in half by tracing AI performance issues to infrastructure bottlenecks.Healthcare Provider
15% Lower Power Usage
Energy analytics revealed throttled GPUs, enabling targeted optimization and cost savings.AI Lab – USA
Gain Real-Time GPU Utilization Insights
- Monitor utilization metrics across every GPU, node, and cluster.
- Spot underutilized or idle GPUs that increase cost and reduce efficiency.
- Ensure your most valuable resources are fully aligned with workload demand.
Identify and Prevent Performance Bottlenecks
- Detect thermal issues, memory bottlenecks, or ECC errors in real time.
- Prevent slowdowns by surfacing early signs of GPU degradation or contention.
- Minimize performance dips before they affect your training or inference SLAs.
Track GPU Health Across Heterogeneous Environments
- Collect vendor-agnostic telemetry from NVIDIA, AMD, and other platforms.
- Monitor core metrics like temperature, clock speeds, and tensor core activity.
- Unify observability across on-prem and cloud-based GPU instances.
Accelerate Troubleshooting with Full-Stack Correlation
- Link GPU behavior to network, storage, and application-level traces.
- Pinpoint root causes of slowdowns across the entire AI stack.
- Resolve infrastructure-related issues faster—without finger-pointing.
Monitor Job Placement and GPU Contention
- Visualize how jobs are scheduled across GPUs and hosts.
- Detect noisy neighbors or overlapping jobs that may throttle performance.
- Optimize job placement and workload distribution across available GPUs.
