clockworkio

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

Kill the GPU bill. Not the job.

At LinkedIn, Clockwork prevents tens of thousands of GPU-hours of downtime each month.

At #SC26, we’ll kill a link or GPU live. Watch the workload keep progressing.

Booth #7205 · Nov. 17–19 · Chicago

Full schedule in the video.

𝐀𝐧𝐲𝐨𝐧𝐞 𝐫𝐮𝐧𝐧𝐢𝐧𝐠 𝐥𝐚𝐫𝐠𝐞 𝐭𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐣𝐨𝐛𝐬 𝐤𝐧𝐨𝐰𝐬 𝐭𝐡𝐞 𝟐𝐚𝐦 𝐩𝐚𝐠𝐞: 𝐨𝐧𝐞 𝐥𝐢𝐧𝐤 𝐟𝐥𝐚𝐩, 𝐆𝐏𝐔 𝐟𝐚𝐮𝐥𝐭, 𝐨𝐫 𝐧𝐨𝐝𝐞 𝐟𝐚𝐢𝐥𝐮𝐫𝐞, 𝐚𝐧𝐝 𝐭𝐡𝐞 𝐞𝐧𝐭𝐢𝐫𝐞 𝐣𝐨𝐛 𝐢𝐬 𝐝𝐨𝐰𝐧.

One dead rank stalls every collective until the NCCL watchdog fires. Then checkpoint and restart: 45-90 minutes across every GPU in the job.

Next week at PyTorch Conference North America, Together AI’s Pavneet Ahluwalia and Clockwork’s Gavin Cohen walk through a training failover system built to keep the job running through all of it, and how to tell when live migration beats checkpoint-restart.

🗣️ 𝐓𝐨𝐠𝐞𝐭𝐡𝐞𝐫 𝐀𝐈 + 𝐂𝐥𝐨𝐜𝐤𝐰𝐨𝐫𝐤 𝐣𝐨𝐢𝐧𝐭 𝐬𝐞𝐬𝐬𝐢𝐨𝐧
Self-Healing PyTorch Training Through Live GPU Migration
Wed Oct 21 · 12:20 PM PDT · Room LL20CD

⏰ 𝐑𝐢𝐠𝐡𝐭 𝐚𝐟𝐭𝐞𝐫, 𝐰𝐚𝐭𝐜𝐡 𝐢𝐭 𝐡𝐚𝐩𝐩𝐞𝐧: 𝐍𝐞𝐯𝐞𝐫 𝐇𝐢𝐭 𝐙𝐞𝐫𝐨
Lin She, Clockwork.io
Wed Oct 21 · 12:45 PM PDT · Demo Theater, Community Expo
𝑆𝑒𝑒 𝑖𝑡 𝑖𝑛 𝑎𝑐𝑡𝑖𝑜𝑛 𝑎𝑠 𝑤𝑒 𝑝𝑢𝑙𝑙 𝑎 𝑛𝑒𝑡𝑤𝑜𝑟𝑘 𝑐𝑎𝑏𝑙𝑒 𝑎𝑛𝑑 𝑎 𝑝𝑜𝑤𝑒𝑟 𝑐𝑎𝑏𝑙𝑒 𝑓𝑟𝑜𝑚 𝑎 𝑟𝑢𝑛𝑛𝑖𝑛𝑔 𝑗𝑜𝑏, 𝑜𝑛 𝑐𝑎𝑚𝑒𝑟𝑎.

📍 𝐁𝐨𝐨𝐭𝐡 𝐏𝟖, 𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲 𝐄𝐱𝐩𝐨. Bring your failure modes. Book a 1:1 or a private live TorchPass demo.

#PyTorchConference #DistributedTraining #FaultTolerance #GPUClusters #NCCL

Last night we kicked off @CoreWeave 's Fully Connected 2026 — a reception with robots pouring drinks, games, and some of the sharpest full-stack AI infra engineers all in one room.

𝐃𝐚𝐲 𝟏 𝐤𝐢𝐜𝐤𝐬 𝐨𝐟𝐟 𝐭𝐨𝐝𝐚𝐲 𝐰𝐢𝐭𝐡 𝐢𝐧𝐬𝐩𝐢𝐫𝐞𝐝 𝐢𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐨𝐧𝐬 𝐢𝐧 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧 𝐚𝐜𝐫𝐨𝐬𝐬 𝐞𝐯𝐞𝐫𝐲 𝐢𝐧𝐝𝐮𝐬𝐭𝐫𝐲, and culminates with 𝐚 𝐫𝐞𝐚𝐥 𝐁𝐚𝐭𝐭𝐥𝐞 𝐨𝐟 𝐭𝐡𝐞 𝐁𝐨𝐭𝐬.

Catch us at the Clockwork booth in Pioneer Pavilion and see how we are built for production scale reliability, keeping AI runs alive through infra failures.

#FullyConnected #AIInfra #Battleofthebots #CoreweaveEvent

𝐀𝐈 𝐤𝐞𝐞𝐩𝐬 𝐦𝐨𝐯𝐢𝐧𝐠 — 𝐞𝐯𝐞𝐧 𝐰𝐡𝐞𝐧 𝐚 𝐆𝐏𝐔 𝐟𝐚𝐢𝐥𝐬 𝐨𝐫 𝐚 𝐥𝐢𝐧𝐤 𝐝𝐫𝐨𝐩𝐬.

At @CoreWeave's Fully Connected (Sept 29–Oct 1, San Francisco), we're showing what Workload-Aware Fault Tolerance actually looks like: FleetLens audits the fleet and pinpoints the fault. TorchPass and LinkPass keep distributed workloads running.

𝑊𝑒 𝑑𝑜𝑢𝑏𝑙𝑒-𝑑𝑎𝑟𝑒 𝑦𝑜𝑢 𝑡𝑜 𝑐𝑜𝑚𝑒 𝑠𝑒𝑒 𝑖𝑡 𝑖𝑛 𝑎𝑐𝑡𝑖𝑜𝑛.

🔗 Book time with the team: na2.hubs.ly/H080KZ30

#FullyConnected #AIInfrastructure #GPU #TorchPass #YOCO #LinkPass #workloadaware #faulttolerance #DARE