Reliability as a Guarantee.

When long-running jobs fail, teams lose hours of work and expensive GPU time. We don’t sell GPU uptime. We ensure your jobs complete.

We don’t replace AWS — we make everything outside AWS reliable enough to use.

Legacy Infrastructure

  • ✕

    Jobs fail mid-run

    Infrastructure instability kills long-running processes without warning.

  • ✕

    Progress is lost

    Compute hours are billed, but weights and states are not preserved.

  • ✕

    Teams restart manually

    Engineers waste high-value time babysitting and re-queueing jobs.

Persistence Active

Vector Fabric

  • ✓

    Failures are detected automatically

    The fabric monitors progress so work is not lost.

  • ✓

    Progress is preserved

    Progress is preserved outside the failing machine.

  • ✓

    Jobs resume and complete

    Work resumes on healthy infrastructure.

Verified Logic

Trusted Execution

We ensure jobs run on known, validated machines so failures and inconsistencies don’t derail workloads.

Controlled Env

Safe & Predictable Runs

Jobs run in controlled environments, with progress monitored so work is not lost.

Zero Intervention

Automatic Recovery

If a machine fails mid-run, we restart from the last good state so your job reaches completion.

Proprietary Framework

Checkpoint-Aware Workload Continuity.

We have formalized our core orchestration logic into a foundational patent filing. Our system moves beyond simple infrastructure signals to establish a deterministic control layer for AI compute.

Patent Pending

Primary Claim 01

Application-Level Progress

Establishing monotonic advancement validation as the source of truth for workload health, independent of underlying infrastructure status.

Primary Claim 02

Normalized Recovery Semantics

Structured classification of GPU failure modes into actionable recovery classes including stale progress and non-advancing orchestration.

Primary Claim 03

Continuity Lineage

Automated generation of structured evidence artifacts mapping checkpoint progression across heterogeneous provider failovers.

Industry Research

Quali: The GPU Technical Debt Crisis →

Analysis on why passive FinOps tools fail to handle runaway GPU costs. True optimization requires real-time, execution-level control embedded directly into the infrastructure plane.

External Analysis

SkyPilot-S: Reliability Layers for AI →

Research quantifying the "Reliability Tax" in fragmented GPU ecosystems and the necessity of checkpoint-aware recovery.

External Research

The Hidden Cost of Restart-from-Scratch →

Operational analysis of why raw GPU availability is a lagging indicator compared to job completion guarantees.

Vector Fabric Lab Note

“We don’t sell GPU uptime. We ensure your jobs complete.”

Join the Design Partner Program