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NVIDIA

NVIDIA

US
@nvidia
2.5K
Video Count
441.7M
Video View
2.1M
Subscriber
#6,096
United States Rank
#24,755
Global Rank
2.5K
Video Count
441.7M
Video View
2.1M
Subscriber
#6,096
United States Rank
#24,755
Global Rank
NVIDIA YouTube channel subscribers:2,110,000- Seelive statisticsand growth insights below.
OverviewVideosOutliersStatisticsSimilar ChannelsTimelineRetention AnalyticsAbout

NVIDIA YouTube Statistics & Analytics

Subscribers
2.1M
Total Views
441.7M
Videos
2.5K
Activity
Unknown

NVIDIA Content Analysis

Content Type Distribution

Long videosLong
84%
205 videos
ShortsShorts
16%
40 videos

📽️ This channel specializes in long-form videos. Deep dives and comprehensive content perform well here.

Content Categories

Primary CategoryScience & Technology
100%
Science & Technology
244(100%)
Gaming
1(0%)

🎯 Primary focus: Science & Technology with 244 videos (100% of categorized content).

NVIDIA AI Channel Analysis

Gemini ProScore: 7.2/10

AI-powered insights analyzing content strategy, audience engagement, and growth potential.

Overall Score
7.2
Consistency
95%
Cadence
2-3/wk
Library
50

Growth Potential

7.5/10

Good content foundation. Increasing upload frequency could boost growth.

Audience Engagement

7.2/10

Moderate engagement levels. Focus on community interaction could improve metrics.

Content Strategy

7/10

Developing content strategy. Consider focusing on specific niches for better targeting.

AI Recommendations

Auto-prioritized by predicted impact

  1. 1
    Increase upload frequency to 2-3 videos per week
    High ImpactCadence
  2. 2
    Focus on SEO optimization for better discoverability
    High ImpactSEO
  3. 3
    Analyze top-performing content for pattern replication
    MediumStrategy
  4. 4
    Increase community engagement through comments and polls
    MediumEngagement

Latest Video

Long video
Alphabet and NVIDIA Bring Agentic and Physical AI to Global Industries
3:49
New

Alphabet and NVIDIA Bring Agentic and Physical AI to Global Industries

10.8K
Views
538
Likes
4 days ago
Published

Building on a decade of collaboration, Alphabet and NVIDIA are expanding their partnership to advance agentic AI, robotics, drug discovery, grid optimization, smart cities, and more. This collaboration is built on deep co-engineering across integrated platforms, open-source frameworks, and managed services. NVIDIA collaborates with Google DeepMind, Isomorphic Labs, X — Alphabet’s Moonshot Factory — and Google Cloud to build a full-stack foundation for AI and high-performance computing, including deployments in sovereign regions and on-premises. ✅ Google Cloud is one of the first to bring NVIDIA's groundbreaking Blackwell platform to the cloud—from NVIDIA GB300 NVL72 rack-scale systems to the universal NVIDIA RTX PRO 6000 Blackwell GPUs. This portfolio, delivered through A4X Max, A4X, A4, and G4 VMs, is purpose-built for diverse and demanding workloads, from deploying frontier mixture-of-experts (MoE) reasoning models, advanced scientific simulations to powering next-generation physical AI applications. ✅ Google Distributed Cloud, combined with NVIDIA Blackwell’s breakthrough performance and security features such as confidential computing, lets organizations run Google Gemini models on-premises where their data resides. This enables sovereign AI innovation for sectors like government, healthcare, and finance, where data must remain protected. ✅ The NVIDIA AI platform is deeply integrated across the Google Cloud stack—from Vertex AI, Cluster Director and Google Kubernetes Engine to Cloud Run for serverless computing—giving developers flexibility to build, deploy, and scale AI workloads at their preferred level of abstraction. ✅ NVIDIA and Google Cloud are collaborating across open frameworks and open models—from joint optimizations forJAX and Gemma to making the NVIDIA Nemotron family of open models, available on Vertex AI Model Garden as NVIDIA NIM microservices. This partnership is empowering developers, builders, and creators across to transform every industry with AI and accelerated computing. 🤝 Explore the partnership: https://nvda.ws/4suvT5e 🎥 Watch NVIDIA fireside chat at Google Public Sector Summit: https://nvda.ws/4jA4kn2

NVIDIA AI Agentic AI

Top 5 Videos

#1
NVIDIA Live with CEO Jensen Huang

NVIDIA Live with CEO Jensen Huang

200.7K
1 week ago
#2
NVIDIA SC25 Fireside Chat

NVIDIA SC25 Fireside Chat

56.2K
2 months ago
#3
Unwrap NVIDIA Jetson Orin Nano Super

Unwrap NVIDIA Jetson Orin Nano Super

37.9K
4 weeks ago
#4
Unwrap NVIDIA Jetson Deals: Make Your Robot’s Holiday Wish Come True

Unwrap NVIDIA Jetson Deals: Make Your Robot’s Holiday Wish Come True

18.9K
1 month ago
#5
Inside Disney Imagineering R&D ft. NVIDIA

Inside Disney Imagineering R&D ft. NVIDIA

16.1K
1 month ago

NVIDIA AI Channel Analysis

Gemini ProScore: 7.2/10

AI-powered insights analyzing content strategy, audience engagement, and growth potential.

Overall Score
7.2
Consistency
95%
Cadence
2-3/wk
Library
50

Growth Potential

7.5/10

Good content foundation. Increasing upload frequency could boost growth.

Audience Engagement

7.2/10

Moderate engagement levels. Focus on community interaction could improve metrics.

Content Strategy

7/10

Developing content strategy. Consider focusing on specific niches for better targeting.

AI Recommendations

Auto-prioritized by predicted impact

  1. 1
    Increase upload frequency to 2-3 videos per week
    High ImpactCadence
  2. 2
    Focus on SEO optimization for better discoverability
    High ImpactSEO
  3. 3
    Analyze top-performing content for pattern replication
    MediumStrategy
  4. 4
    Increase community engagement through comments and polls
    MediumEngagement

Frequently Asked Questions About NVIDIA

Data Source & Accuracy

Source: YouTube Data API v3
Accuracy: Real-time statistics from official YouTube API
Data is updated hourly and sourced directly from official APIs to ensure accuracy and reliability.

Data from YouTube Data API v3 • Updated hourly • Last updated: 12:15 AM