Clockwork Systems provides specialized clock synchronization technology for mission-critical distributed systems operating across cloud and on-premises environments. Its offerings combine software licensing, subscriptions, and professional services to ensure accurate timekeeping and coordination across distributed applications, with tools like Latency Sensei to monitor cloud network latency. The company differentiates itself through deep timing expertise tailored to time-sensitive industries and end-to-end deployment across diverse environments, supported by Stanford-origin research and Series A funding. Its goal is to help customers achieve reliable, precise synchronization to reduce timing-related issues and boost system performance.
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Industries
Company Size
51-200
Company Stage
Late Stage VC
Total Funding
$72.6M
Headquarters
Palo Alto, CA
Founded
2018
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Total Funding
$72.6M
Above
Industry Average
Funded Over
3 Rounds
Clockwork.io has launched TorchPass Workload Fault Tolerance, a software solution that eliminates costly GPU training failures through Live GPU Migration technology. The system allows AI training workloads to continue running through hardware failures, network disruptions and node crashes without requiring checkpoint restarts. The company claims TorchPass can save over $6 million annually in a typical 2,048-GPU deployment by reducing wasted training progress by 95%. In large clusters, it cuts lost time from approximately three hours per day to under ten minutes. Independent testing by SemiAnalysis found TorchPass delivered faster fault-tolerant performance than standard checkpoint-restart approaches and higher Model FLOPs Utilisation than leading open-source alternatives. The solution typically completes recovery in approximately three minutes whilst training continues uninterrupted. TorchPass is now available as part of Clockwork.io's FleetIQ platform.
Clockwork Raises $20.57 Million in Funding
Stanford spinout Clockwork has raised $20.6 million, led by NEA with participation from notable investors, to address AI's GPU inefficiency. The funding coincides with the launch of FleetIQ, a software solution aimed at enhancing GPU performance by improving communication between GPUs, clusters, and clouds. This innovation seeks to reduce crashes, shorten restarts, and increase utilization rates, making AI infrastructure more efficient and sustainable.
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Industries
Company Size
51-200
Company Stage
Late Stage VC
Total Funding
$72.6M
Headquarters
Palo Alto, CA
Founded
2018
Find jobs on Simplify and start your career today
Don't see your dream role? Check out thousands of other roles on Simplify.Browse all jobs