Introducing TorchPass Snapshots: Protect training progress. Free up GPU capacity. No training-code changes.

Launching YOCO (You Only Compute Once): Industry’s First Contractual Guarantee To End GPU Waste In AI Training

Replay the Webinar: Navigating Networking Transitions Shaping AI Infra Economics: Scaling Up, Out, and Across

Play SemiAnalysis-Clockwork Webinar: Comparing Fault Tolerance Frameworks & TCO Impact

ClockSync

Every host, NIC, and switch is aligned to a single sub-microsecond timeline. This unified clock underpins provisioning and operations, enabling precise telemetry, real-time visibility, and job-aware control across the fleet — the base layer for reliable, efficient AI at scale.

Global ClockSync for Sub-Microsecond-Granular Telemetry

Software-based precision telemetry tracing AI workloads fleet-wide

Breakthrough: High Accuracy 
ClockSync at Scale

Traditional time-sync solutions like NTP and PTP weren’t built for the demands of modern AI infrastructure. NTP lacks fine-grained accuracy, while PTP introduces complexity, master-slave bottlenecks, and poor scalability across large fleets. Even popular open-source solutions like Chrony converge quickly but can’t deliver nanosecond precision or handle hyperscale, multi-cloud environments reliably.

ClockSync

Clockwork Solutions

Clockwork provides the foundation for precision observability at AI scale. By embedding time-aligned telemetry into every layer of the stack, operators gain dual visibility: Provisioning Health – Are racks wired correctly? Is firmware configured and stable? Runtime Efficiency – Which jobs, GPUs, or links are becoming stragglers or outliers? With this visibility, alerts fire at the first sign of trouble—whether link, node, or workload—long before users experience slowdowns.

Clockwork’s Approach: Breakthrough

ClockSync builds on pioneering research published at USENIX NSDI:
“Exploiting a Natural Network Effect for Scalable, Fine-grained Clock Synchronization.”

This work, co-authored by researchers at Stanford University and Google, demonstrated how leveraging inherent network traffic patterns enables precise synchronization at scale—without expensive specialized hardware. Clockwork extends and productizes this innovation for real-world AI fleets.

From On-Prem to Cloud, Unified by Time

ClockSync spans across heterogeneous environments—from on-prem data centers to multi-cloud GPU clusters—ensuring every packet, job, and GPU is measured against a single, software-defined source of truth.

This foundation enables operators to: detect anomalies and performance regressions instantly. Optimize workloads for throughput and efficiency. Confidently scale fleets without synchronization bottlenecks

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Explainer videos

See it in four minutes

LinkPass
A link flaps mid-training and the job keeps running. See LinkPass reroute traffic in milliseconds.
TorchPass
Migrate a live job to spare GPUs and resume from the exact iteration, with no model code changes.
FleetAudit
Catch bad links, NICs and GPUs before a job starts, so every cluster is production-ready.

Learn More

Stop wasting GPU cycles. Start scaling smarter.
Clusters must deliver high uptime while running at maximum efficiency.

Turn your GPU clusters into a competitive advantage—not a cost center.