AI that never stalls. GPUs that never sit idle.
Clockwork’s software-driven AI fabric maximizes GPU utilization and makes AI workloads resilient to failure. Runs anywhere and supports any Ethernet, RoCE or InfiniBand fabric.
Software Driven AI Fabrics Drive
Peak Cluster Utilization
AI Observability
identify slow or failing jobs correlated with infrastructure issues
AI Fault Tolerance
avoid costly checkpoint restarts and run nonstop AI jobs
AI Performance Optimization
eliminate contention, congestion and guarantee performance
SemiAnalysis Confirms Clockwork TorchPass Is the Only Fault-Tolerance Framework That Doesn’t Cost You Training Performance
Their report’s TCO and Goodput calculators demonstrate TorchPass outperforms every competing fault-tolerance approach, recovering millions in wasted compute annually.
Coverage Of TorchPass TCO and Goodput Calculator
Customer and Industry Voices
“At Uber…every millisecond matters—latency spikes don’t just hurt customer experience, they directly impact driver retention and revenue..Their unique innovation can greatly help Uber expedite the detection and fault-localization of networking issues: from hours to minutes.. Clockwork’s software-driven AI fabric…helps us deliver what matters most: improved infrastructure utilization, enhanced resiliency, and..a better experience for…millions of people..”
Albert Greenberg
Chief Architect Officer, Uber
“…we are building the foundation for AI at planetary scale..Clockwork’s approach aligns perfectly with ours, and together we’re creating an AI infrastructure that is not only powerful and reliable, but ready to support the most demanding innovations of the future.”
David Power
CTO, NScale
“…exactly what our customers need when running large-scale AI workloads where any disruption can be costly…works across different network configurations without requiring hardware lock-in…solutions that focus on the communication layer — which is often a bottleneck — are becoming increasingly important for delivering the performance and reliability…our customers expect.”
Danila Shtan
CTO, Nebius
“Our mission at DCAI is…to not only serve researchers, startups, and enterprises today, but also to build the sovereign foundations of tomorrow’s innovation… Gefion is a game-changing resource driving breakthroughs in quantum computing, drug discovery, advanced weather forecasting and beyond…Clockwork enables us to operate Gefion seamlessly and reliably…The result is a compute-efficient, fault-tolerant infrastructure that researchers and industries can trust — lowering costs, eliminating wasted GPU cycles, and helping us deliver a sovereign AI capability second to none.”
Dr. Nadia Carlsten
CEO, DCAI
“…Clockwork helps us deploy GPU clusters faster and with greater consistency. Their observability and rapid localization of fabric issues not only reduce deployment times but also validate the reliability of our infrastructure, ensuring clients’ AI workloads run on clusters built for performance, resilience and scale.”
Tom Sanfillippo
CTO, White Fiber
“As AI infrastructure scales to tens of thousands of GPUs for training and inference, the bottleneck has shifted from compute to communication. With accelerators running in lockstep, a single link flap, congestion spike or straggler can stall progress and crater utilization. The operational priority is utilizing real-time fabric visibility for faster fault isolation and recovery to keep workloads moving instead of looping through costly restarts. And as Mixture of Experts (MoE) models with high rank expert parallelism proliferate, the all-to-all exchange intensifies, raising the bar even higher for GPU communication efficiency.”
Dylan Patel
Founder, CEO, and Chief Analyst, SemiAnalysis
“MI350X series systems with ROCm software and Pollara NICs provide a strong foundation for performance and reliability in AI training and inference. As deployments expand, ecosystem innovation, such as Clockwork’s software-driven AI approach, adds complementary capabilities that help ensure efficiency and consistency at scale.”
Vamsi Boppana
SVP, AI, AMD
“At Broadcom, our focus has always been on delivering Ethernet-centric infrastructure that scales AI with both performance and efficiency. Clockwork’s software-driven AI fabric adds an essential layer of agility and observability that enhances the power of our silicon. With proactive fleet monitoring and seamless failover, Clockwork enables platforms such as our Tomahawk 6 and Jericho4 to realize their full potential in flexibility, uptime, and AI performance. Together, we’re driving open, adaptable fabrics that allow enterprises to build AI infrastructure that is resilient, high-performing, and future-ready.”
Ram Velaga
Senior Vice President and General Manager, Core Switching Group, Broadcom
The Bottleneck in AI is Communication, Not Compute
AI at scale relies on tightly synchronized workloads across complex infrastructures. Performance is not limited by how fast each GPU is, but by how fast thousands of GPUs can talk to each other.
40% Time Spent on Network Communications
30-55% Cluster Utilization
2.3-4.5 Hours Lost Per Day
Even the smallest disruption causes entire jobs to fail, wasting hours of expensive GPU time.
NCCLNFSTCP/UDPNVSHMEMUCXNVMe-oFEthernetlibfabricS3InfiniBandMPIibverbsGDSROCEv2Communication libraries, I/O ProtocolsNetwork APIs / Transport protocolsTraining data ingestion Checkpoint writes Application/user IO Result/response flowsParameter Exchange Model load/fetch Query/request traffic Control trafficCPUCPUAppGPUGPUCPUCPUAppGPUGPUCPUCPUAppGPUGPUCompute ClusterStorageAI Factories
Stringent I/O demand
Synchronized, stateful flows
Multiple complex fabrics
Frequent failures
Software Driven AI Fabrics Eliminate The Communication Bottleneck
Performance is accelerated by optimizing traffic flow, and workloads keep running even when failures occur, preventing expensive checkpoint rollbacks.
FleetIQ runs your AI workloads at peak cluster utilization.
Clockwork
FleetIQCPUCPUAppGPUGPUCPUCPUAppGPUGPUCPUCPUAppGPUGPUCompute ClusterStorageAI FactoriesStateful
Fault-ToleranceEfficient PerformanceCross-stack
Visibility
AI Observability
Identify slow, inefficient or failing workloads and see how they’re correlated with infrastructure issues.
AI Fault Tolerance
Avoid costly checkpoint restarts. Keep AI workloads running even when underlying infrastructure fails.
AI Performance Optimization
Dynamically eliminate congestion and contention. Guarantee performance with QoS.
Software Driven AI Fabrics Whitepaper
Prevent Link Flaps and GPU Failures From Crashing your Jobs
26.28 mins Time to First Job Failure in Brand New Cluster
In GPU clusters, link flaps, GPU failures, driver or firmware bugs and node failures can crash critical AI jobs in an instant. TorchPass workload fault tolerance makes those failures irrelevant through live workload migration and path failover. Watch how Clockwork keeps everything running even when things fail.
SemiAnalysis Quantifies the Value of Fault-Tolerance
At scale, the choice of fault-tolerance framework is a direct driver of GPU utilization and TCO. This webinar, co-presented by Clockwork.io and SemiAnalysis, benchmarks leading resiliency frameworks — and TorchPass wins decisively, with the ClusterMAX TCO and Goodput calculators showing exactly what that gap costs in dollars.
SemiAnalysis calls TorchPass “the only option that maintains the same training performance as jobs without fault tolerance.”
LF Live Webinar: Handling Hardware Failures During Training - YouTube
LF Live Webinar: Handling Hardware Failures During Training The Linux Foundation
100% Software-Driven AI Fabric
For Multi-vendor Compute, Storage and Networks
Clockwork’s software-driven AI fabric runs anywhere – cloud or on-prem, NVIDIA or AMD, InfiniBand/RoCE or Ethernet, NVMe or object storage. It continuously optimizes your AI infrastructure, steering traffic to prevent congestion and dynamically routing around faults to keep workloads from crashing. Stop wasting GPU cycles – your most valuable and expensive resource.