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Enhancing ONES Observability: Performance Monitoring for GPU-Accelerated Compute Environments

Blog date iconMay 9, 2025Blog category iconONES & SONiC
Enhancing ONES Observability: Performance Monitoring for GPU-Accelerated Compute Environments
ONES 3.1 telemetry for GPUs, NICs, CPUs and storage—real-time observability

ONES 3.1: Real-Time Compute & GPU Observability for High-Performance Workloads

Unified, vendor-agnostic telemetry across NICs, GPUs, CPUs, memory, and storage—so you can find bottlenecks fast, prevent failures, and keep AI/HPC clusters humming.

AI and HPC stacks move fast—and so do problems. ONES delivers deep, real-time telemetry across compute and I/O: NICs, GPUs, CPUs, SSDs, and more. With seamless multi-vendor support and a single operational view, teams shift from reactive firefighting to proactive performance management.

Unified Monitoring for Compute, NICs, and GPUs

ONES correlates host, accelerator, and network telemetry to expose the full data path—from PCIe and memory to link layers—so operators can pinpoint the real culprit behind latency, loss, or throttling.

NIC Insights

Ensure clean, reliable links with interface-level visibility: administrative/oper status, MTU, port speed, and auto-negotiation. Track FEC modes for resiliency, and analyze LLDP counters (TX/RX/discards) to validate topology and catch cabling or configuration drift early.

GPU & Compute Performance Monitoring

Bottlenecks can originate in the host or the GPU. ONES observes both, surfacing hot spots and imbalance across nodes, devices, and time windows.

Compute Health Monitoring

Continuously track CPU utilization, memory pressure, temperature, platform metadata, and uptime. Proactive thresholds and trend views help prevent thermal throttling and resource starvation before workloads degrade.

CPU and memory telemetry with utilization and temperature trends
CPU & Memory: utilization, temps, and trend analysis for early warning.

GPU Performance Insights

Using NVIDIA SMI, ONES captures GPU temperature, utilization, power draw, memory allocation, bus ID, and serial number. Correlate power and thermal spikes with workload phases to optimize placement and reduce failures.

GPU overview showing temperature, utilization, power, and memory
GPU overview: temperature, utilization, memory, and power in real time.
GPU analytics with utilization, temperature, and memory views
GPU analytics: utilization, temperature, and memory trends per device.

CPU & Memory Utilization

Monitor CPU load across intervals and memory usage at both host and GPU levels. Combine with uptime to assess stability, schedule maintenance, and harden SLAs for training and inference windows.

Storage & Platform Health

Stay ahead of I/O slowdowns with disk health and utilization metrics—used %, absolute usage (MB), temperature, and health state— alongside chassis/platform indicators for a complete view of node readiness.

Disk health dashboard with used percent, MB usage, temperature, and status
Disk health & utilization: catch storage issues before they stall jobs.

Vendor-Agnostic & Built to Scale

ONES collects via standard Linux interfaces and supports multiple NIC vendors (e.g., Intel, Mellanox/NVIDIA). Designed for large-scale fleets, it centralizes monitoring across servers hosting GPUs, NICs, and individual GPUs—without overloading resources or locking you to a single hardware stack.

Conclusion

With unified, real-time telemetry across compute, accelerators, storage, and links, ONES 3.1 helps teams optimize performance, prevent failures, and run multi-vendor AI/HPC environments with confidence.

Explore ONES 3.1

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Tags:cpuONES 3.1NICaviz onesGPUGPU ObservabilityNIC TelemetryCompute MonitoringVendor-Agnostic Telemetry