AI Performance Optimization
Dynamic Traffic Control (DTC) uses real-time telemetry to keep GPUs productive on any network. It balances congestion, paces queues, and prevents stalls — accelerating synchronized collectives.
The result: accelerated AI training across Ethernet, InfiniBand, and RoCE entirely in software, without proprietary hardware.
Detecting & Eliminating Contention
Reroute workloads instantly, eliminate collisions.
What is Contention? QPairs collide on links and contend for network bandwidth.
Clockwork’s Solution Workload Acceleration. QPairs with contentions have high one-way delays. Shift traffic from congested paths to uncongested paths.
Workload Acceleration
Proven Throughput Gains Across Real-World AI Workloads
Hyperscaler with Clockwork vs Dynamic Load Balancing (DLB)
2 all-to-all jobs. The hyperscaler with Clockwork enabled has 33% more outbound throughput vs. DLB.
Large Social Media Company with Clockwork vs. ECMP
2 all-to-all jobs. The large social media company with Clockwork enabled has 29% more throughput vs. ECMP.
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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.