{
  "slug": "clockwork",
  "name": "Clockwork",
  "description": "Clockwork provides software-driven AI fabric that maximizes GPU utilization and makes AI workloads resilient to failure across diverse infrastructures, including cloud and on-prem, NVIDIA or AMD GPUs, and various network types (Ethernet, RoCE, InfiniBand). It offers AI observability, fault tolerance, and performance optimization to eliminate GPU waste and ensure non-stop AI job execution.",
  "url": "https://optimly.ai/brand/clockwork",
  "websiteUrl": "https://clockwork.io/",
  "logoUrl": "https://logo.clearbit.com/clockwork.io",
  "baiScore": 57.5,
  "bai_tier_status": "active",
  "bai_score_status": "active",
  "archetype": null,
  "archetype_status": "active",
  "category": "Composable Infrastructure Platforms",
  "categorySlug": null,
  "keyFacts": [],
  "aiReadiness": [],
  "competitors": [],
  "competitorsProse": null,
  "inboundCompetitors": [],
  "aiAlternatives": [],
  "parentBrand": null,
  "subBrands": [],
  "updatedAt": "2026-09-20T03:27:34.960Z",
  "verifiedVitals": {
    "website": "https://clockwork.io",
    "category": "AI Infrastructure Software",
    "what_it_does": "Clockwork provides software-driven AI fabric that maximizes GPU utilization, makes AI workloads resilient to failure, and optimizes performance by addressing communication bottlenecks in large-scale AI deployments. It offers AI observability, fault tolerance, and performance optimization.",
    "primary_audience": "Enterprises and organizations running large-scale AI workloads and GPU clusters, including those in cloud, on-prem, and multi-vendor environments.",
    "core_product": "Software-driven AI fabric, including TorchPass for workload fault tolerance and FleetIQ for peak cluster utilization.",
    "pricing_model": {
      "kind": "custom",
      "detail": "The company offers a 'You Only Compute Once' (YOCO) contractual commitment to resolve AI training failures, suggesting a custom, enterprise-focused pricing model."
    }
  },
  "intentTags": {
    "problemIntents": [
      "AI never stalls",
      "GPUs never sit idle",
      "maximize GPU utilization",
      "AI workloads resilient to failure",
      "identify slow or failing jobs correlated with infrastructure issues",
      "avoid costly checkpoint restarts",
      "eliminate contention, congestion",
      "ending GPU Waste in AI Training",
      "resolve AI training failures with no lost progress",
      "recovering wasted compute annually",
      "bottleneck in AI is communication, not compute",
      "time spent on network communications",
      "low cluster utilization",
      "hours lost per day due to failures",
      "smallest disruption causes entire jobs to fail",
      "wasting expensive GPU time",
      "stringent I/O demand",
      "synchronized, stateful flows",
      "multiple complex fabrics",
      "frequent component failures cripple entire jobs",
      "prevent link flaps and GPU failures from crashing jobs",
      "link flaps, GPU failures, driver or firmware bugs and node failures can crash critical AI jobs in an instant"
    ],
    "solutionIntents": [
      "software-driven AI fabric",
      "maximizes GPU utilization",
      "makes AI workloads resilient to failure",
      "runs anywhere and supports any Ethernet, RoCE or InfiniBand fabric",
      "AI Observability",
      "AI Fault Tolerance",
      "AI Performance Optimization",
      "contractual commitment to end GPU waste",
      "TorchPass fault-tolerance framework that doesn’t cost training performance",
      "outperforms every competing fault-tolerance approach",
      "resolving 90% of AI training failures",
      "recover millions in wasted compute annually",
      "eliminates the communication bottleneck",
      "optimizing traffic flow",
      "workloads keep running even when failures occur",
      "preventing expensive checkpoint rollbacks",
      "FleetIQ runs AI workloads at peak cluster utilization",
      "Stateful Fault-Tolerance",
      "Efficient Performance",
      "Cross-stack Visibility",
      "dynamically eliminate congestion and contention",
      "guarantee performance with QoS",
      "live GPU migration",
      "path failover",
      "100% Software-Driven AI Fabric For Multi-vendor Compute, Storage and Networks",
      "continuously optimizes AI infrastructure, steering traffic to prevent congestion and dynamically routing around faults"
    ],
    "evaluationIntents": [
      "watch video",
      "read more",
      "coverage of TorchPass",
      "TCO and goodput calculator",
      "schedule a free consultation",
      "learn more",
      "vision whitepaper",
      "platform overview",
      "fleet monitoring",
      "workload failover",
      "workload acceleration"
    ]
  },
  "businessProfileClaims": [],
  "timestamp": 1790000673647
}