At scale, failures are routine. Losing the work has been routine too. Not anymore.
LinkedIn runs Clockwork.io in production. Together.ai is bringing TorchPass to its GPU cluster customers. SemiAnalysis measured the payback: goodput loss cut from 14% to under 3%.
Today we're launching an industry first, in preview: TorchPass Snapshots in addition to Asynchronous Application checkpoints. And announcing $31M in new funding.
🔹 TorchPass Snapshots: save a whole running training job, across every node, with no code changes. Free the GPUs now. Resume later. Nothing lost. Platform teams stop waiting for application owners to add checkpointing.
🔹 Async Application Checkpoints: checkpoint while you train, not instead of training. Save more often, lose less when something breaks, and get fresh weights to Reinforcement Learning rollouts sooner.
Our AI fault tolerance is already proven in production:
✅ LinkedIn runs Clockwork.io LinkPass across its AI infrastructure fleet.
"In aggregate, Clockwork.io prevents tens of thousands of GPU-hours of downtime per month across our fleet." Raghu Hiremagalur, SVP, CTO Infrastructure, LinkedIn.
✅ @togethercompute is bringing TorchPass to market as a service on its GPU Clusters.
"Our customers grade us on goodput, the share of their GPU-hours that actually move the model forward." Pavneet Singh Ahluwalia Ahluwalia, Product Lead, Together.ai
✅ WhiteFiber is expanding Clockwork.io across its global GPU footprint. "We bring clusters up faster, and a customer's first training run lands on a fabric validated end-to-end, not just powered on." Tom Sanfilippo, CTO, WhiteFiber.
Quantifiable payback: "In our ClusterMAX, TorchPass cuts training goodput loss from 14% to under 3% for a gold-rated neocloud." Dylan Patel, @SemiAnalysis_ , @dylan522p. More than 11 points of GPU capacity back, measured independently.
New funding: $31M with @PremjiInvest, @Wing_VC, Seligman Ventures, New Enterprise Associates (@NEA), @etisalatandae
Pressure tested at scale with some of the world’s largest enterprises, neoclouds and hyperscalers. The job never stops.
Stop paying for job restarts. Preview access opens today, and we'll kill a GPU and a link live at PyTorch Conference with Together.ai. Schedule a demo and preview access in the first comment 👇
#AIInfrastructure #FaultTolerance #DistributedTraining #GPU #PyTorch
LinkedIn runs Clockwork.io in production. Together.ai is bringing TorchPass to its GPU cluster customers. SemiAnalysis measured the payback: goodput loss cut from 14% to under 3%.
Today we're launching an industry first, in preview: TorchPass Snapshots in addition to Asynchronous Application checkpoints. And announcing $31M in new funding.
🔹 TorchPass Snapshots: save a whole running training job, across every node, with no code changes. Free the GPUs now. Resume later. Nothing lost. Platform teams stop waiting for application owners to add checkpointing.
🔹 Async Application Checkpoints: checkpoint while you train, not instead of training. Save more often, lose less when something breaks, and get fresh weights to Reinforcement Learning rollouts sooner.
Our AI fault tolerance is already proven in production:
✅ LinkedIn runs Clockwork.io LinkPass across its AI infrastructure fleet.
"In aggregate, Clockwork.io prevents tens of thousands of GPU-hours of downtime per month across our fleet." Raghu Hiremagalur, SVP, CTO Infrastructure, LinkedIn.
✅ @togethercompute is bringing TorchPass to market as a service on its GPU Clusters.
"Our customers grade us on goodput, the share of their GPU-hours that actually move the model forward." Pavneet Singh Ahluwalia Ahluwalia, Product Lead, Together.ai
✅ WhiteFiber is expanding Clockwork.io across its global GPU footprint. "We bring clusters up faster, and a customer's first training run lands on a fabric validated end-to-end, not just powered on." Tom Sanfilippo, CTO, WhiteFiber.
Quantifiable payback: "In our ClusterMAX, TorchPass cuts training goodput loss from 14% to under 3% for a gold-rated neocloud." Dylan Patel, @SemiAnalysis_ , @dylan522p. More than 11 points of GPU capacity back, measured independently.
New funding: $31M with @PremjiInvest, @Wing_VC, Seligman Ventures, New Enterprise Associates (@NEA), @etisalatandae
Pressure tested at scale with some of the world’s largest enterprises, neoclouds and hyperscalers. The job never stops.
Stop paying for job restarts. Preview access opens today, and we'll kill a GPU and a link live at PyTorch Conference with Together.ai. Schedule a demo and preview access in the first comment 👇
#AIInfrastructure #FaultTolerance #DistributedTraining #GPU #PyTorch
4
1
4
594
Read the press release on X: na2.hubs.ly/H08byd60
Schedule the unstoppable demo: clockwork.io/contact/
Schedule the unstoppable demo: clockwork.io/contact/
Oct 5, 2026 · 1:39 PM UTC
0
0
1
17