Clockwork Systems raises $31M to cut AI workload waste with TorchSnap

Clockwork Systems Inc., a startup specializing in software for optimizing AI infrastructure, has raised $31 million in a funding round co-led by Seligman Ventures, Wing Ventures, and Premji Invest. The funding brings the company’s total raised to $73 million and coincides with the launch of TorchSnap, a new feature aimed at reducing wasted compute during AI workload failures.

Funding and Investors

Clockwork Systems Inc. has raised $31 million in a new funding round co-led by Seligman Ventures, Wing Ventures, and Premji Invest, according to SiliconANGLE. Existing investors New Enterprise Associates and e& Capital also participated, bringing the company’s total funding to $73 million.

Product Launch and Technology

The funding round coincides with the launch of TorchSnap, a new feature designed to minimize wasted compute during AI workload failures. TorchSnap enables teams to add "checkpointing logic" at the application level, reducing lost progress and preventing repeated computation after a failure.

Clockwork’s software acts as a programmable layer between GPUs and AI workloads, synchronizing GPU clusters and delivering nanosecond-accurate telemetry. This approach aims to improve fault tolerance and operational efficiency in data centers running AI workloads.

Customer Adoption

Clockwork’s solutions have gained traction among enterprises and AI infrastructure providers. LinkedIn has deployed the company’s LinkPass functionality across its entire GPU fleet, reportedly eliminating thousands of GPU-hours of downtime each month.

Together AI Inc. offers Clockwork’s TorchPass capability as a service on its GPU clusters, further validating the startup’s technology in real-world AI workload scenarios.

What this means

Lazyfounder analysis — our interpretation, not reported fact.

Clockwork Systems is positioning itself as a critical player in the AI infrastructure space, addressing a pain point that few startups have tackled effectively: the inefficiency and waste in AI workload management. For founders and operators, this funding round signals two things.

First, the investor interest—particularly from firms like Seligman Ventures, Wing Ventures, and Premji Invest—validates the urgency of solving fault tolerance and compute waste in AI clusters. These are not theoretical problems; they directly impact the bottom line for companies running large-scale AI workloads. Clockwork’s focus on software rather than hardware could also make it an attractive partner for cloud providers and enterprises looking to optimize existing infrastructure without overhauling it.

Second, the launch of TorchSnap underscores a shift toward smarter, application-level controls for AI workloads. As AI models grow in size and complexity, the cost of failures—whether in training or inference—becomes prohibitively expensive. Clockwork’s approach, which allows teams to add checkpointing logic at the application level, reflects a growing trend: infrastructure software must be programmable and adaptive to the needs of AI workloads, not the other way around.

For startups in the AI space, Clockwork’s success highlights an opportunity to build tools that address the hidden inefficiencies of AI infrastructure. It’s a reminder that while flashy AI models grab headlines, the companies that keep those models running efficiently may have just as much impact—and just as much potential for scale.

Key takeaways

• Clockwork Systems Inc. secures $31 million to advance its AI infrastructure software, bringing total funding to $73 million.
• The funding round was co-led by Seligman Ventures, Wing Ventures, and Premji Invest, with participation from existing backers.
• TorchSnap, a new feature, aims to reduce wasted compute by enabling checkpointing logic during AI workload failures.
• Clockwork’s software layer synchronizes GPU clusters and delivers nanosecond-accurate telemetry for AI workloads.
• Customers like LinkedIn and Together AI Inc. deploy Clockwork’s solutions to eliminate downtime and improve operational efficiency.

FAQ

What is Clockwork Systems Inc.?

Clockwork Systems Inc. is a startup that develops software to optimize the efficiency of AI chip clusters in data centers. Its solutions focus on synchronizing GPU clusters, improving fault tolerance, and minimizing wasted compute during AI workload failures.

Who led the $31 million funding round for Clockwork?

The funding round was co-led by Seligman Ventures, Wing Ventures, and Premji Invest, with participation from existing investors New Enterprise Associates and e& Capital.

What is TorchSnap?

TorchSnap is a new feature launched by Clockwork Systems to minimize wasted compute during AI workload failures. It enables teams to add checkpointing logic at the application level, reducing lost progress and preventing repeated computation after a failure.

Which companies use Clockwork’s solutions?

Major customers include LinkedIn, which has deployed Clockwork’s LinkPass functionality across its GPU fleet, and Together AI Inc., which offers Clockwork’s TorchPass capability as a service on its GPU clusters.

How does Clockwork’s software improve AI workload efficiency?

Clockwork’s software acts as a programmable layer between GPUs and AI workloads, synchronizing GPU clusters and providing nanosecond-accurate telemetry. This improves fault tolerance, reduces downtime, and prevents wasted compute.

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