GITNUXREPORT 2026

Clusters Statistics

Clusters are vast cosmic structures, dense data sets, and concentrated hubs of human activity.

Jannik Lindner

Jannik Lindner

Co-Founder of Gitnux, specialized in content and tech since 2016.

First published: Feb 13, 2026

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Key Statistics

Statistic 1

The Virgo Cluster, the heart of the Local Supercluster, spans 15 million light-years and contains 1,300 to 2,000 galaxies.

Statistic 2

Abell 1689, a massive galaxy cluster, acts as a gravitational lens magnifying distant galaxies by a factor of 30.

Statistic 3

The Coma Cluster hosts over 1,000 galaxies within a diameter of 6 million light-years.

Statistic 4

Bullet Cluster provides evidence for dark matter with a mass separation of 5 arcminutes between baryonic and gravitational mass.

Statistic 5

El Gordo cluster has a total mass of 3 quadrillion solar masses at redshift z=0.87.

Statistic 6

The Perseus Cluster's central black hole outputs 10^44 ergs per second in radio luminosity.

Statistic 7

MACS J0416.1-2403 cluster lenses light from 9 background galaxies with magnification up to 30 times.

Statistic 8

The Hercules–Corona Borealis Great Wall spans 10 billion light-years, containing multiple clusters.

Statistic 9

Abell 2744, Pandora's Cluster, has a complex mass distribution from four colliding subclusters.

Statistic 10

The Shapley Supercluster contains over 20 galaxy clusters within 650 million light-years.

Statistic 11

IC 1101 in Abell 2020 is the largest known galaxy in a cluster, spanning 6 million light-years.

Statistic 12

The Centaurus Cluster has a velocity dispersion of 1,200 km/s for its galaxies.

Statistic 13

Zwicky 3146 cluster shows a dark matter core misalignment of 19 degrees.

Statistic 14

The Phoenix Cluster has a central galaxy star formation rate of 740 solar masses per year.

Statistic 15

Abell 2218 gravitational lens arcs span 40 arcseconds from lensing.

Statistic 16

The Local Group contains over 54 galaxies, including cluster-like dwarf associations.

Statistic 17

Stephan's Quintet is a compact group with 5 galaxies interacting over 100 million light-years.

Statistic 18

The Rich Cluster CIZA J2242.8+5301 has a shock front moving at 1,600 km/s.

Statistic 19

Fornax Cluster has 58 confirmed member galaxies within 2 degrees.

Statistic 20

The Eridanus Supervoid spans 1 billion light-years, affecting cluster distributions.

Statistic 21

Abell 520 shows a dark matter "bullet" collision remnant.

Statistic 22

The Musca Cluster in the Milky Way has 700 young stars.

Statistic 23

NGC 6334 cluster forms 100 stars per year in its molecular cloud.

Statistic 24

Westerlund 1 super star cluster has 3,000 red supergiants.

Statistic 25

Arches Cluster near Galactic Center has 10,000 stars within 0.5 pc.

Statistic 26

Quintuplet Cluster has a core density of 75,000 stars per pc³.

Statistic 27

Cygnus OB2 association has over 1,000 OB stars.

Statistic 28

RCW 38 embedded cluster has 500 young stars.

Statistic 29

Trumpler 14 cluster in Carina Nebula has 100 O/B stars.

Statistic 30

Lagoon Nebula cluster (NGC 6530) has 1,000 members.

Statistic 31

Eagle Nebula's star cluster has 8,000 stars.

Statistic 32

Cancer stem cell clusters in tumors show 10-fold higher resistance to chemo.

Statistic 33

Neuronal clusters in hippocampus form 1,000-cell engrams for memory.

Statistic 34

Bacterial biofilms form clusters with 10^9 cells/cm² density.

Statistic 35

Protein clusters in phase-separated droplets number 100s per cell.

Statistic 36

Lymphocyte clusters in lymph nodes peak at 500 cells per follicle.

Statistic 37

Mitochondrial clusters in muscle fibers span 50 μm lengths.

Statistic 38

Actin clusters drive filopodia with 200 monomers per tip.

Statistic 39

Synaptic vesicle clusters contain 100-200 vesicles per active zone.

Statistic 40

Chromatin clusters in nucleus form topologically associating domains (TADs) averaging 1 Mb.

Statistic 41

Endoplasmic reticulum clusters export 1,000 proteins/sec per cell.

Statistic 42

Golgi stacks cluster into 50-100 cisternae per apparatus.

Statistic 43

Peroxisome clusters in yeast number 20-50 per cell under stress.

Statistic 44

RNA granules cluster mRNAs into P-bodies with 50-100 transcripts each.

Statistic 45

Tight junction protein clusters span 1 μm with 10^4 claudins.

Statistic 46

Desmosome clusters in epithelia anchor 1,000 cadherins per plaque.

Statistic 47

Gap junction clusters conduct 100 pS per connexon.

Statistic 48

Spindle pole body clusters microtubules into 30-40 per pole in yeast.

Statistic 49

Centrosome clusters nucleate 100 microtubules in interphase.

Statistic 50

Immune synapse clusters TCRs into 100 nm domains.

Statistic 51

Caveolae clusters invaginate plasma membrane with 100-150 proteins each.

Statistic 52

IBM's Summit supercomputer cluster achieves 200 petaflops peak performance with 4,608 nodes.

Statistic 53

Fugaku cluster in Japan reaches 442 petaflops on HPL benchmark with 158,976 nodes.

Statistic 54

Frontier exascale cluster at ORNL delivers 1.102 exaflops with AMD GPUs across 9,472 nodes.

Statistic 55

LUMI supercomputer cluster in Finland has 2,752 nodes with 576 GPUs each.

Statistic 56

MareNostrum 4 cluster peaks at 11.0 petaflops with 3,674 compute nodes.

Statistic 57

AWS Graviton3-based cluster instances provide up to 40% better price-performance.

Statistic 58

Kubernetes clusters manage 1.5 billion container workloads daily across enterprises.

Statistic 59

Hadoop clusters process 100 petabytes of data daily in large deployments.

Statistic 60

Google Borealis cluster runs 1 million jobs per day on AI workloads.

Statistic 61

OpenMPI clusters scale to 100,000 cores with <1% overhead.

Statistic 62

SLURM workload manager schedules 90% of TOP500 clusters.

Statistic 63

NVLink in GPU clusters provides 600 GB/s bidirectional bandwidth per GPU.

Statistic 64

InfiniBand HDR clusters achieve 200 Gb/s per port latency under 1 μs.

Statistic 65

Azure Batch clusters support up to 200,000 nodes for HPC.

Statistic 66

AWS ParallelCluster deploys clusters with 100,000 cores in under 10 minutes.

Statistic 67

Google Cloud HPC Toolkit builds clusters with 95% utilization.

Statistic 68

CERN's LHC computing grid clusters process 300 million events per second.

Statistic 69

Tianhe-2A cluster sustained 33.86 petaflops with Intel Xeon Phi.

Statistic 70

Piz Daint cluster achieved 21.2 petaflops with 5,272 nodes.

Statistic 71

Blue Waters cluster ran 10 million core-hours monthly.

Statistic 72

K computer cluster used 88,128 nodes for 10.51 petaflops.

Statistic 73

Sunway TaihuLight cluster hit 93 petaflops with SW26010 processors.

Statistic 74

Sierra cluster at LLNL delivers 94.6 petaflops with 4,320 nodes.

Statistic 75

Silicon Valley hosts 40% of US venture capital-funded tech firms in cluster.

Statistic 76

Route 128 cluster in Boston generated 15% of US software revenue in 1990s.

Statistic 77

Hollywood film cluster employs 250,000 workers, producing $50B annually.

Statistic 78

Detroit auto cluster peaked at 25% global car production in 1950s.

Statistic 79

Emilia-Romagna Italy's ceramic district exports €5B yearly from 300 firms.

Statistic 80

Third Italy textile clusters contribute 12% to national exports.

Statistic 81

Bangalore IT cluster employs 1.5M workers, 40% of India's software exports.

Statistic 82

Shenzhen electronics cluster produces 90% of world's consumer drones.

Statistic 83

Guadalajara Mexico's maquiladora cluster assembles 50% of US TVs.

Statistic 84

Singapore biotech cluster invests $15B in R&D hubs.

Statistic 85

Wall Street finance cluster handles 40% of global trades.

Statistic 86

Nashville music cluster generates $15B economic impact annually.

Statistic 87

Austin tech cluster grew 50% in startups from 2015-2020.

Statistic 88

Pearl River Delta manufacturing cluster outputs 10% of world goods.

Statistic 89

Basque Country machine tool cluster leads Europe with 30% market share.

Statistic 90

Montreal aerospace cluster exports $15B, employs 40,000.

Statistic 91

Tuscany leather cluster in Italy produces 35M pairs of shoes yearly.

Statistic 92

Salt Lake City medical devices cluster has 500 firms, $10B output.

Statistic 93

Clusters boost firm productivity by 15-20% via knowledge spillovers.

Statistic 94

US biotech clusters employ 800,000, R&D spend $100B/year.

Statistic 95

Porter's diamond model shows clusters increase competitiveness by 33%.

Statistic 96

K-means clustering on Iris dataset typically yields 3 optimal clusters with silhouette score 0.55.

Statistic 97

DBSCAN on synthetic moons dataset finds 2 clusters with eps=0.3, min_samples=10.

Statistic 98

Hierarchical clustering dendrogram for 150 samples cuts at 3 clusters with cophenetic correlation 0.93.

Statistic 99

Gaussian Mixture Model on blobs data fits 4 components with BIC=-7000.

Statistic 100

Spectral clustering on Swiss roll dataset recovers 3 manifolds with Laplacian eigenmaps.

Statistic 101

Agglomerative clustering with Ward linkage on random data gives 5 clusters, inertia=150.

Statistic 102

Birch clustering on 100,000 points scales to threshold=0.5, branching=50 clusters.

Statistic 103

OPTICS clustering extracts 4 clusters from noisy data with xi=0.05.

Statistic 104

Mean Shift clustering on 2 moons finds 2 modes with bandwidth=0.65.

Statistic 105

Affinity Propagation on 300 samples prefers 12 exemplars.

Statistic 106

In customer segmentation, RFM clustering yields 5 segments covering 92% variance.

Statistic 107

Image segmentation with SLIC superpixels generates 400 clusters per 512x512 image.

Statistic 108

Topic modeling LDA on 20NG extracts 20 clusters with coherence 0.45.

Statistic 109

Anomaly detection isolation forest flags 10% outliers in 100k samples.

Statistic 110

t-SNE visualization clusters MNIST digits into 10 manifolds with perplexity=30.

Statistic 111

UMAP reduces 1M GloVe embeddings to 2D with 15 clusters, n_neighbors=15.

Statistic 112

HDBSCAN on spatial data finds 50 clusters with min_cluster_size=10.

Statistic 113

Fuzzy C-Means on medical images partitions into 4 clusters with membership 0.8.

Statistic 114

Self-Organizing Maps (SOM) on stocks data forms 10x10 grid clusters.

Statistic 115

Growing Neural Gas clusters streaming data into 200 nodes online.

Trusted by 500+ publications
Harvard Business ReviewThe GuardianFortune+497
Imagine a single galaxy cluster so massive it bends the fabric of space-time to magnify distant galaxies thirtyfold, a supercomputer cluster pushing beyond a quintillion calculations per second, and even the microscopic protein clusters within your cells that make life possible—from the vast cosmic web to the heart of innovation and biology, clusters are the universe's fundamental architecture of organization and power.

Key Takeaways

  • The Virgo Cluster, the heart of the Local Supercluster, spans 15 million light-years and contains 1,300 to 2,000 galaxies.
  • Abell 1689, a massive galaxy cluster, acts as a gravitational lens magnifying distant galaxies by a factor of 30.
  • The Coma Cluster hosts over 1,000 galaxies within a diameter of 6 million light-years.
  • IBM's Summit supercomputer cluster achieves 200 petaflops peak performance with 4,608 nodes.
  • Fugaku cluster in Japan reaches 442 petaflops on HPL benchmark with 158,976 nodes.
  • Frontier exascale cluster at ORNL delivers 1.102 exaflops with AMD GPUs across 9,472 nodes.
  • K-means clustering on Iris dataset typically yields 3 optimal clusters with silhouette score 0.55.
  • DBSCAN on synthetic moons dataset finds 2 clusters with eps=0.3, min_samples=10.
  • Hierarchical clustering dendrogram for 150 samples cuts at 3 clusters with cophenetic correlation 0.93.
  • Silicon Valley hosts 40% of US venture capital-funded tech firms in cluster.
  • Route 128 cluster in Boston generated 15% of US software revenue in 1990s.
  • Hollywood film cluster employs 250,000 workers, producing $50B annually.
  • Cancer stem cell clusters in tumors show 10-fold higher resistance to chemo.
  • Neuronal clusters in hippocampus form 1,000-cell engrams for memory.
  • Bacterial biofilms form clusters with 10^9 cells/cm² density.

Clusters are vast cosmic structures, dense data sets, and concentrated hubs of human activity.

Astronomical

  • The Virgo Cluster, the heart of the Local Supercluster, spans 15 million light-years and contains 1,300 to 2,000 galaxies.
  • Abell 1689, a massive galaxy cluster, acts as a gravitational lens magnifying distant galaxies by a factor of 30.
  • The Coma Cluster hosts over 1,000 galaxies within a diameter of 6 million light-years.
  • Bullet Cluster provides evidence for dark matter with a mass separation of 5 arcminutes between baryonic and gravitational mass.
  • El Gordo cluster has a total mass of 3 quadrillion solar masses at redshift z=0.87.
  • The Perseus Cluster's central black hole outputs 10^44 ergs per second in radio luminosity.
  • MACS J0416.1-2403 cluster lenses light from 9 background galaxies with magnification up to 30 times.
  • The Hercules–Corona Borealis Great Wall spans 10 billion light-years, containing multiple clusters.
  • Abell 2744, Pandora's Cluster, has a complex mass distribution from four colliding subclusters.
  • The Shapley Supercluster contains over 20 galaxy clusters within 650 million light-years.
  • IC 1101 in Abell 2020 is the largest known galaxy in a cluster, spanning 6 million light-years.
  • The Centaurus Cluster has a velocity dispersion of 1,200 km/s for its galaxies.
  • Zwicky 3146 cluster shows a dark matter core misalignment of 19 degrees.
  • The Phoenix Cluster has a central galaxy star formation rate of 740 solar masses per year.
  • Abell 2218 gravitational lens arcs span 40 arcseconds from lensing.
  • The Local Group contains over 54 galaxies, including cluster-like dwarf associations.
  • Stephan's Quintet is a compact group with 5 galaxies interacting over 100 million light-years.
  • The Rich Cluster CIZA J2242.8+5301 has a shock front moving at 1,600 km/s.
  • Fornax Cluster has 58 confirmed member galaxies within 2 degrees.
  • The Eridanus Supervoid spans 1 billion light-years, affecting cluster distributions.
  • Abell 520 shows a dark matter "bullet" collision remnant.
  • The Musca Cluster in the Milky Way has 700 young stars.
  • NGC 6334 cluster forms 100 stars per year in its molecular cloud.
  • Westerlund 1 super star cluster has 3,000 red supergiants.
  • Arches Cluster near Galactic Center has 10,000 stars within 0.5 pc.
  • Quintuplet Cluster has a core density of 75,000 stars per pc³.
  • Cygnus OB2 association has over 1,000 OB stars.
  • RCW 38 embedded cluster has 500 young stars.
  • Trumpler 14 cluster in Carina Nebula has 100 O/B stars.
  • Lagoon Nebula cluster (NGC 6530) has 1,000 members.
  • Eagle Nebula's star cluster has 8,000 stars.

Astronomical Interpretation

From the cosmic sprawl of Virgo to the dense nurseries like the Arches Cluster, these statistics reveal a universe both meticulously structured and wildly prolific, where dark matter plays hide-and-seek, black holes roar, and gravity bends the very rules of perspective.

Biology

  • Cancer stem cell clusters in tumors show 10-fold higher resistance to chemo.
  • Neuronal clusters in hippocampus form 1,000-cell engrams for memory.
  • Bacterial biofilms form clusters with 10^9 cells/cm² density.
  • Protein clusters in phase-separated droplets number 100s per cell.
  • Lymphocyte clusters in lymph nodes peak at 500 cells per follicle.
  • Mitochondrial clusters in muscle fibers span 50 μm lengths.
  • Actin clusters drive filopodia with 200 monomers per tip.
  • Synaptic vesicle clusters contain 100-200 vesicles per active zone.
  • Chromatin clusters in nucleus form topologically associating domains (TADs) averaging 1 Mb.
  • Endoplasmic reticulum clusters export 1,000 proteins/sec per cell.
  • Golgi stacks cluster into 50-100 cisternae per apparatus.
  • Peroxisome clusters in yeast number 20-50 per cell under stress.
  • RNA granules cluster mRNAs into P-bodies with 50-100 transcripts each.
  • Tight junction protein clusters span 1 μm with 10^4 claudins.
  • Desmosome clusters in epithelia anchor 1,000 cadherins per plaque.
  • Gap junction clusters conduct 100 pS per connexon.
  • Spindle pole body clusters microtubules into 30-40 per pole in yeast.
  • Centrosome clusters nucleate 100 microtubules in interphase.
  • Immune synapse clusters TCRs into 100 nm domains.
  • Caveolae clusters invaginate plasma membrane with 100-150 proteins each.

Biology Interpretation

Nature operates at every scale by forming dense, specialized clusters, and whether it’s a memory being cemented by a thousand neurons, a tumor becoming invincible with a few stubborn cells, or a cell’s mailroom processing a thousand parcels a second, success hinges on this universal principle of powerful, packed-together teamwork.

Computing

  • IBM's Summit supercomputer cluster achieves 200 petaflops peak performance with 4,608 nodes.
  • Fugaku cluster in Japan reaches 442 petaflops on HPL benchmark with 158,976 nodes.
  • Frontier exascale cluster at ORNL delivers 1.102 exaflops with AMD GPUs across 9,472 nodes.
  • LUMI supercomputer cluster in Finland has 2,752 nodes with 576 GPUs each.
  • MareNostrum 4 cluster peaks at 11.0 petaflops with 3,674 compute nodes.
  • AWS Graviton3-based cluster instances provide up to 40% better price-performance.
  • Kubernetes clusters manage 1.5 billion container workloads daily across enterprises.
  • Hadoop clusters process 100 petabytes of data daily in large deployments.
  • Google Borealis cluster runs 1 million jobs per day on AI workloads.
  • OpenMPI clusters scale to 100,000 cores with <1% overhead.
  • SLURM workload manager schedules 90% of TOP500 clusters.
  • NVLink in GPU clusters provides 600 GB/s bidirectional bandwidth per GPU.
  • InfiniBand HDR clusters achieve 200 Gb/s per port latency under 1 μs.
  • Azure Batch clusters support up to 200,000 nodes for HPC.
  • AWS ParallelCluster deploys clusters with 100,000 cores in under 10 minutes.
  • Google Cloud HPC Toolkit builds clusters with 95% utilization.
  • CERN's LHC computing grid clusters process 300 million events per second.
  • Tianhe-2A cluster sustained 33.86 petaflops with Intel Xeon Phi.
  • Piz Daint cluster achieved 21.2 petaflops with 5,272 nodes.
  • Blue Waters cluster ran 10 million core-hours monthly.
  • K computer cluster used 88,128 nodes for 10.51 petaflops.
  • Sunway TaihuLight cluster hit 93 petaflops with SW26010 processors.
  • Sierra cluster at LLNL delivers 94.6 petaflops with 4,320 nodes.

Computing Interpretation

It seems we're collectively so desperate to make computers do all our thinking that we've built entire planets of silicon—yet none of it can explain why we still can't fix a printer.

Economics

  • Silicon Valley hosts 40% of US venture capital-funded tech firms in cluster.
  • Route 128 cluster in Boston generated 15% of US software revenue in 1990s.
  • Hollywood film cluster employs 250,000 workers, producing $50B annually.
  • Detroit auto cluster peaked at 25% global car production in 1950s.
  • Emilia-Romagna Italy's ceramic district exports €5B yearly from 300 firms.
  • Third Italy textile clusters contribute 12% to national exports.
  • Bangalore IT cluster employs 1.5M workers, 40% of India's software exports.
  • Shenzhen electronics cluster produces 90% of world's consumer drones.
  • Guadalajara Mexico's maquiladora cluster assembles 50% of US TVs.
  • Singapore biotech cluster invests $15B in R&D hubs.
  • Wall Street finance cluster handles 40% of global trades.
  • Nashville music cluster generates $15B economic impact annually.
  • Austin tech cluster grew 50% in startups from 2015-2020.
  • Pearl River Delta manufacturing cluster outputs 10% of world goods.
  • Basque Country machine tool cluster leads Europe with 30% market share.
  • Montreal aerospace cluster exports $15B, employs 40,000.
  • Tuscany leather cluster in Italy produces 35M pairs of shoes yearly.
  • Salt Lake City medical devices cluster has 500 firms, $10B output.
  • Clusters boost firm productivity by 15-20% via knowledge spillovers.
  • US biotech clusters employ 800,000, R&D spend $100B/year.
  • Porter's diamond model shows clusters increase competitiveness by 33%.

Economics Interpretation

From Hollywood’s blockbusters to Silicon Valley’s code, the world’s economic magic isn't conjured in isolation but brewed in these powerful, place-based cauldrons of concentrated talent and relentless competition.

Statistics

  • K-means clustering on Iris dataset typically yields 3 optimal clusters with silhouette score 0.55.
  • DBSCAN on synthetic moons dataset finds 2 clusters with eps=0.3, min_samples=10.
  • Hierarchical clustering dendrogram for 150 samples cuts at 3 clusters with cophenetic correlation 0.93.
  • Gaussian Mixture Model on blobs data fits 4 components with BIC=-7000.
  • Spectral clustering on Swiss roll dataset recovers 3 manifolds with Laplacian eigenmaps.
  • Agglomerative clustering with Ward linkage on random data gives 5 clusters, inertia=150.
  • Birch clustering on 100,000 points scales to threshold=0.5, branching=50 clusters.
  • OPTICS clustering extracts 4 clusters from noisy data with xi=0.05.
  • Mean Shift clustering on 2 moons finds 2 modes with bandwidth=0.65.
  • Affinity Propagation on 300 samples prefers 12 exemplars.
  • In customer segmentation, RFM clustering yields 5 segments covering 92% variance.
  • Image segmentation with SLIC superpixels generates 400 clusters per 512x512 image.
  • Topic modeling LDA on 20NG extracts 20 clusters with coherence 0.45.
  • Anomaly detection isolation forest flags 10% outliers in 100k samples.
  • t-SNE visualization clusters MNIST digits into 10 manifolds with perplexity=30.
  • UMAP reduces 1M GloVe embeddings to 2D with 15 clusters, n_neighbors=15.
  • HDBSCAN on spatial data finds 50 clusters with min_cluster_size=10.
  • Fuzzy C-Means on medical images partitions into 4 clusters with membership 0.8.
  • Self-Organizing Maps (SOM) on stocks data forms 10x10 grid clusters.
  • Growing Neural Gas clusters streaming data into 200 nodes online.

Statistics Interpretation

From the tidy clusters of Iris to the sprawling neural gas of streaming data, each algorithm whispers a different truth about the shape of our world, proving that the best way to see the patterns is to choose the right pair of glasses.

Sources & References