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GPU providers

10 companies in this space

RankTrendScoreChangeComponentsRecent scores
#1 LLM
LLMs are a primary workload for GPU providers, driving demand for training, fine-tuning, inference, model hosting, and high-performance cluster capacity.
51.0 Strategic 85
Adoption 0 · Attention 0 · Momentum 0
91 · 75 · 83 · 88 · 88 · 88 · 91 · 51
#2 Kubernetes
Kubernetes is durable core infrastructure for deploying, scaling, and operating GPU-backed workloads, especially training and inference services.
48.0 +2 Strategic 80
Adoption 0 · Attention 0 · Momentum 0
69 · 66 · 63 · 80 · 54 · 64 · 66 · 48
#3 AI Model Fine-tuning
Fine-tuning is a core GPU workload that directly shapes infrastructure selection through accelerator availability, interconnects, storage, orchestration, pricing, and managed training tooling.
46.8 -1 Strategic 78
Adoption 0 · Attention 0 · Momentum 0
63 · 47 · 61 · 87 · 60 · 72 · 83 · 47

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Summary

Company Total Posts Avg/Month
Atlas Cloud 861 23.9
RunPod 527 8.8
Google Cloud 2,788 8.0
Nebius 241 6.7
DigitalOcean 843 4.7
Together AI 239 4.0
Rescale 437 2.3
Vast.ai 176 1.3
Lambda 215 1.2
Prime Intellect 42 1.2

Current Subscribers

Company Subscribers Share
Google Cloud 1,440,000
DigitalOcean 60,200
Lambda 7,560
Nebius 6,860
Atlas Cloud 6,570
Together AI 4,600
Vast.ai 2,430
Rescale 2,340
Prime Intellect 980

Showing Hacker News posts with 50+ points since 2022

Companies in GPU providers

Random Space
Company Stage Founded
Atlas Cloud seed 2024
DigitalOcean Public 2012
Google Cloud Public 1998
Lambda E 2012
Nebius Public 2024
Prime Intellect A 2024
Rescale D 2011
RunPod A 2022
Together AI C 2022
Vast.ai seed 2016