Three neoclouds.
One missing layer.
Neoclouds sell raw GPU hours. VectorFabric provides a job-completion guarantee on top of them — heartbeat-monitored liveness detection that catches a dead node the moment it goes silent, and checkpoint-aware automatic retry that resumes the run instead of restarting it.
Scale Is Not the Same as Completion
A provider's SLA covers whether the infrastructure stays up, not whether your specific run survives a failure.
Reserved capacity, negotiated SLAs, and infrastructure custom-built for the constraints of the largest AI laboratories.
What teams without an enterprise contract actually need: absolute certainty that their specific runtime workload crosses the finish line.
A node staying up does not guarantee your training run survives a failure. Uptime and completion are not the same promise — and the operational gap between them is where long-running configurations quietly die.
VectorFabric routes workloads to enterprise-scale capacity when that's the right fit, and delivers the exact same job-completion guarantee on far cheaper alternative providers when it isn't.
Failed runs are paid for twice.
The hourly rate is the cheap part. Drag the inputs below: a node that dies late in a long run is trivial to recover from with checkpoints, and ruinous to restart from zero.
Heartbeat monitoring catches the silent node on the spot. Checkpoint-aware retry resumes from the last good state — the run finishes close to schedule, near the ideal cost.
Provider-direct, a dead node burns budget until a human notices, then the run restarts from zero. You pay for the lost progress twice. Heartbeat monitoring catches it on the spot, and checkpoint-aware retry resumes execution from the last good state.
One path creates one point of failure.
Wired to a single provider, a sold-out instance or a dead node is the end of the line. There is no path B.
Note: When capacity runs out or a node dies mid-run, there is no alternative path and no failover mechanism. The job stops exactly where it failed.
Note: If one target provider goes out of capacity, VectorFabric dynamically routes across alternative lines that have it and seamlessly resumes jobs via checkpoint-aware retry.
VectorFabric routes around any provider infrastructure block automatically when live capacity isn't available, and seamlessly resumes failed configurations via checkpoint-aware retry—something a single-provider path offers no technological equivalent for.
What you're really paying for
Three providers sell raw GPU hours. VectorFabric sells what actually happens to your machine learning job while those hours run.
| Dimension | CoreWeave | RunPod | Lambda Labs | VectorFabric |
|---|---|---|---|---|
| What's being sold | Raw compute | Raw compute | Raw compute | Job-completion reliability |
| Failure detection | Dashboard-dependent | Dashboard-dependent | Dashboard-dependent | Heartbeat-monitored liveness detection |
| Recovery from node death | Manual restart, lost progress | Manual restart, lost progress | Manual restart, lost progress | Checkpoint-aware automatic retry |
| Provider lock-in | High · provider-specific APIs | High · provider-specific APIs | High · provider-specific APIs | None · single integration point |
| True cost visibility | Listed hourly rate only | Listed hourly rate only | Listed hourly rate only | Real cost of a completed run |
| Worker / host quality signal | Opaque | Opaque | Opaque | Reliability tracking · routes away from bad capacity |
| Evidence when broken | Basic logs | Basic logs | Basic logs | Structured evidence logging |
| Best fit | Raw-hardware buyers building own stability engine | Raw-hardware buyers building own stability engine | Raw-hardware buyers building own stability engine | Teams wanting cheap hardware and reliability out of the box |
| Relationship to others | — | — | — | Complementary · routes directly to different providers |
Between your team and every provider, without replacing any.
One integration point. Heartbeat monitoring, checkpoint-aware retry, and intelligent architecture optimization sit cleanly on top of the raw compute layers you already buy.
VectorFabric's internal routing priority is applied completely automatically—recomputing path configurations continuously against live supply availability and real-time node reliability trends.
Neoclouds sell the hardware.
VectorFabric makes sure the job finishes.
The critical reliability layer your infrastructure providers don't ship. Heartbeat-monitored liveness detection, checkpoint-aware automatic retry, and autonomous container routing.