Welcome to the official NVIDIA Omniverse YouTube channel, your destination for the latest livestream, workflows, and resources in physical AI.
Subscribers
60.6K
1.1Kmeasured · last 30 days
Total Views
3.53M
144Kmeasured · last 30 days
Videos
415
Welcome to the official NVIDIA Omniverse YouTube channel, your destination for the latest livestream, workflows, and resources in physical AI.
Evidence-based intelligence for NVIDIA Omniverse
NVIDIA Omniverse is in solid overall health (64/100). With 60.6K subscribers and 2.4% engagement, growth is currently slowing, measured at about 901 new subscribers over 30 days. A publishing cadence of 2.4 videos per week sustains reach, and momentum scores 57/100. Estimated ad revenue is around 197 per month. Confidence in this assessment is medium given 52 days of measured history.
Health
64/100
Momentum
57/100
Consistency
87/100
Engagement
40/100
Est. revenue
197/mo
Trend
Slowing
Synthesised deterministically from this page’s metrics. Revenue is an estimate ($197/mo likely). Confidence reflects how much measured history is available.
Tracking · started Jul 31, 2026 · 53 daily snapshots · last updated today. Measured points override the model. Dashed segment is a 6-month projection from the recent pace — an estimate, not a guarantee.
Subscriber growth is decelerating: 200 subscribers over the last 7 days (0.330% of the base), with velocity down 14/day versus the prior week. Measured
Measured daily since Jul 31, 2026; earlier points are modeled estimates.
Computed from 53 daily snapshots — measured, not estimated. Ranked #125 of 170 tracked creators (best #33).
Daily gain
300
latest measured day
7-day gain
200
30-day gain
1.1K
Avg / day
48
across 52 days
Peak day
300
Sep 21, 2026
Acceleration
14/day
vs prior week, subs/day
Estimated viewer distribution by country — Low confidence, inferred from public signals, not private analytics.
Multiple times weekly · 2.4 uploads/week · most common day Thursday · consistency 63/100.
Scores are computed transparently from the public metrics shown on this page — size, momentum, engagement depth and publishing cadence. Engagement of 2.4% = (avg likes 116 + avg comments 4) ÷ avg views 5.08K across recent uploads. Activation 8% means each upload reaches that share of subscribers; 0.8 comments per 1k views reflect discussion depth.
NVIDIA Omniverse is a technology channel with 60.6K subscribers and 3.53M lifetime views. Growth is accelerating, with 901 subscribers added in the last 30 days. Engagement runs at 2.4% and uploads average 2.4 per week. Overall, MetrixAll scores this channel 64/100 — a strong performer with clear momentum.
Evidence-based report for NVIDIA Omniverse
NVIDIA Omniverse is a technology channel with 60.6K subscribers, 3.53M lifetime views and 415 videos. Live
Across 52 days of daily tracking it gained 200 subscribers in the last 7 days. Measured
Within MetrixAll's tracked cohort it ranks #125 of 170 by subscribers (best #33). Measured
Subscriber growth is decelerating: 200 subscribers over the last 7 days (0.330% of the base), with velocity down 14/day versus the prior week. Measured
Its strongest measured day added 300 subscribers. Measured
Upload cadence averages 2.4 videos per week, below the 3.2/week median of similar Technology channels. Publicly inferred
Engagement runs at 2.4% (likes + comments per view), trailing the 2.5% median of comparable channels. Publicly inferred
Average views reach 8.4% of the subscriber base per upload — a sign of loyal, returning viewers. Live
Why the momentum score
Publishing cadence is 2.4 videos per week — a steady weekly rhythm. Live
Format mix skews to long-form — 0 of 10 recent videos are Shorts (≤60s), with long-form averaging 68 min. Live
Topic focus is concentrated in Technology, with evergreen pull that keeps older uploads circulating. Publicly inferred
At the current measured pace of 29/day, MetrixAll projects roughly 2.61K additional subscribers over the next 90 days. This projection assumes recent measured trends continue and is not a guarantee. Measured
Generated deterministically from the metrics on this page — no private platform data, no fabricated figures. Each statement is tagged with its evidence source.
Projected subscribers for NVIDIA Omniverse
30 days
61.5K
+870
Medium confidence
90 days
63.2K
+2.61K
Medium confidence
180 days
65.8K
+5.22K
Low confidence
12 months
71.2K
+10.6K
Low confidence
Monthly Estimate
$197likely
Annual Estimate
$2.36Klikely
This estimate is generated using publicly available information and statistical models. Actual earnings may differ. Derived from estimated monthly views, category RPM ranges, and engagement-adjusted effective RPM. Ad revenue only — excludes sponsorships, merch, and memberships. The confidence score reflects how much public signal supports the estimate — wider ranges mean lower certainty.
1:05:43How to Build a 3D World With AI & Gaussian Splatting
2 months ago Watch
40:42Newton: Open-Source GPU Physics for Robot Simulation | Physical AI Day at SIGGRAPH 2026
1 month ago Watch
1:07:45Closing the Sim-to-Real Gap: Training Humanoids in 3D Gaussian Environments
1 month ago Watch
58:54Alpamayo 2 Super: The Open Reasoning Model for Robotaxis
3 months ago Watch
1:17:40From Robot Development to Deployment with Isaac GR00T & Jetson Thor
25 days ago Watch
1:03:49Scale Autonomous Vehicle Perception with NVIDIA Omniverse NuRec
4 days ago Watch
1:13:22Authoring OpenUSD Scenes from CAD Models and GPT-6 Astra With Vertiv and PTC
4 days ago Watch
1:20:50What's New in Isaac Lab-Arena 0.3 | Robotics Office Hours
11 days ago Watch
1:02:56From Robotaxis to L4 Autonomy: A Deep Dive Into NVIDIA Alpamayo 2 Super
12 days ago Watch
1:31:03Accelerate Computational Engineering and Robotics With NVIDIA Warp
18 days ago Watch
1:17:40From Robot Development to Deployment with Isaac GR00T & Jetson Thor
25 days ago Watch
40:42Newton: Open-Source GPU Physics for Robot Simulation | Physical AI Day at SIGGRAPH 2026
1 month ago Watch
1:07:45Closing the Sim-to-Real Gap: Training Humanoids in 3D Gaussian Environments
1 month ago Watch
1:05:43How to Build a 3D World With AI & Gaussian Splatting
2 months ago Watch
58:54Alpamayo 2 Super: The Open Reasoning Model for Robotaxis
3 months ago Watch
Channel created
Joined YouTube · Jan 9, 2021 · Jan 9, 2021
NVIDIA Omniverse4 connections · line thickness = tie strength
NVIDIA Omniverse connects to 4 entities in the graph — 4 similar. Its strongest tie is Fireship (similar creator, medium confidence). Every edge is derived from real data and labelled with its source — nothing is inferred without evidence.
Channels close to NVIDIA Omniverse in category and scale.
Generated from publicly available signals and statistical models — not private platform data.
