Curated by
GrayMeta™
GrayMeta builds precision tools for video quality control, content analysis, and videotape digitization. Media companies and archives rely on GrayMeta to deliver total confidence at every stage of the content lifecycle, from QC and file comparison to large-scale tape digitization.
stacklist.com/graymeta-admin
GrayMeta builds precision tools for video quality control, content analysis, and videotape digitization. Media companies and archives rely on GrayMeta to deliver total confidence at every stage of the content lifecycle, from QC and file comparison to large-scale tape digitization.
More in Specifications – System Requirements
See all 2 →More from GrayMeta™
See all stacks →Iris Admin Server
6 cards
Iris QC Pro
6 cards
V9 Iris QC Pro V2 Iris Anywhere QC Optional Language Detection – Ai
2 cards
Iris AnywhereQC Specifications-2025
Iris AnywhereQC Specifications 2025 document outlines recommended hardware configurations for on-premises servers and AWS EC2 instances, including processor, memory, storage, and graphics card requirements. It also specifies system requirements for the Iris Admin Server and supported client browsers on Windows and macOS platforms.
Built for AI agentsACO · 255 tokens
Summary
Iris AnywhereQC Specifications 2025 document outlines recommended hardware configurations for on-premises servers and AWS EC2 instances, including processor, memory, storage, and graphics card requirements. It also specifies system requirements for the Iris Admin Server and supported client browsers on Windows and macOS platforms.
Tags
iris-anywhereqc · hardware-specifications · server-requirements · aws-ec2 · quality-control
Key entities
Iris AnywhereQC (technology, 0.95) · Supermicro X13 (technology, 0.9) · Intel Xeon (technology, 0.92) · NVIDIA RTX 4060Ti (technology, 0.9) · AWS EC2 (technology, 0.93) · Windows 11 Pro (technology, 0.91) · Google Chrome (technology, 0.88) · Microsoft Edge (technology, 0.88) · Safari (technology, 0.85) · Dolby Vision (technology, 0.87) · Iris QC Pro (technology, 0.9) · macOS Big Sur (technology, 0.88)
Classification
reference · language en · status final
Provenance
claude-haiku-4-5 via @stacklist/be@0.1.0, confidence 0.85, 23 Sep 2026