RunIQ Labs Launches to Fix the AI Accountability Gap

SAN DIEGO - EntSun -- Enterprise AI infrastructure has scaled faster than its ability to be measured. RunIQ Labs today emerged from stealth to address the AI Accountability Gap — the widening divide between what enterprises pay for AI infrastructure and what that infrastructure actually delivers.
Concurrent with its launch, RunIQ Labs released a landmark whitepaper documenting that peak benchmarks overstate real-world production performance by up to 39% — and that the wasted spend hiding in that gap now has a name: Ghost Capacity™.
Ghost Capacity™ is provisioned, paid-for AI infrastructure that is not delivering economically useful work. RunIQ Labs' research found that configuration alone can account for a 22% throughput variance on identical hardware. It is not a hardware failure. It is a measurement failure.
Two independent analyst firms arrived at the same conclusion on launch day.
"The AI processor market has grown from two viable GPU suppliers in 2014 to 161 companies today — spanning commercially shipping products and active development across seven categories. That fragmentation creates measurement gaps no single vendor is positioned to close. RunIQ is doing the work the market structure requires."

More on EntSun News

• KT Medical Staffing Expands Concierge Nursing and Private Duty Nursing Services in Orange County
• The Millennium Alliance Achieves Great Place To Work® Certification™ Amid Continued Growth
• The Millennium Alliance Appoints Former Adweek Executive Eric Hayden Shakun as Chief Financial Officer to Accelerate Next Phase of Growth
• Florida Just Got Its Dream Hollywood Fleet: FloridaPictureCars.com Launches
• T. Jones Group Named Finalist Across Multiple Categories at the 2026 Georgie Awards

— Jon Peddie, President, Jon Peddie Research
"The AI infrastructure market has arrived at a structural accountability gap. Enterprise AI spend has grown rapidly, but the tools available to measure return on that spend remain fragmented, vendor-biased, or inadequate for production conditions. RunIQ Labs is one of the first companies attempting to address this gap systematically, with a platform aligned to the increasing demand for measurable outcomes, energy-aware infrastructure decisions, and defensible evidence of AI system behavior in production environments."
— Dave McCarthy, Research Vice President, IDC
Through its RunIQScore™ framework and Deployment Diagnostic Records (DDR), RunIQ Labs independently measures production AI deployments across heterogeneous infrastructure — delivering audit-ready evidence of performance, efficiency, and cost.
RunIQ Labs also introduced RunIQMonitor, the continuous measurement layer that detects Creeper Syndrome — the gradual erosion of AI deployment efficiency over time.
FIND. RECOVER. DEFEND.
Qualified organisations can request a complimentary DDR Assessment and receive a Deployment Diagnostic Record from their production infrastructure within 72 hours.
www.runiqlabs.ai