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Data as of June 10, 2026
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RunPod
GPU cloud platform for AI inference and training workloads
AI InfrastructureFounded 2022#26 of 54 in AI Infrastructure
Updated June 10, 2026
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Company profile
What is RunPod?
RunPod offers a cost-effective and scalable GPU cloud platform designed for AI workloads. It provides developers and businesses with on-demand GPU instances and serverless compute options for training, fine-tuning, and deploying AI models. The platform plays a significant role in the AI ecosystem by democratizing access to powerful computing resources, enabling faster innovation and deployment of AI applications.
Latest company data
Primary data point
Package downloads (30d)Metric: npm downloadsSource: npm registryScope: UTC activity dayUpdates: DailyFreshness: 48h target; 36h expected source lagConfidence: HighCaveat: Includes all package installations including CI/CD pipelines and mirrors.Methodology →Metric: PyPI downloadsSource: PyPI BigQueryScope: UTC activity dayUpdates: DailyFreshness: 48h target; 48h expected source lagConfidence: HighCaveat: Includes all package installations including CI/CD pipelines and mirrors; pypistats is fallback only.Methodology →
1.2M/30d
- npm
- 177
- PyPI
- 1.2M
Tracked packages: npm @pierre78181/runpod; PyPI runpod
▲ +48%npm + PyPI: Updated 2d ago
Other data points
Dependent projectsMetric: PyPI dependentsSource: Libraries.io APIScope: UTC daily snapshotUpdates: DailyFreshness: 48h target; 48h expected source lagConfidence: HighCaveat: Counts direct reverse dependencies from PyPI.Methodology →
49
Projects depending on tracked package: PyPI runpod
Updated 1d ago
GitHub starsMetric: GitHub starsSource: GitHub GraphQL + GH ArchiveScope: UTC daily snapshotUpdates: DailyFreshness: 48h target; 24h expected source lagConfidence: HighCaveat: Stars are bookmarks, not usage.Methodology →
410
Main repository stars
Updated 1d ago
Hacker NewsMetric: Hacker News mentionsSource: Hacker News Algolia APIScope: UTC activity dayUpdates: DailyFreshness: 48h target; 24h expected source lagConfidence: HighCaveat: Search relevance and historical availability come from Algolia's HN index.Methodology →
12/30d
Position #19 in category discussion
Updated 1d ago
Repository health
Maintenance data from the main open-source repository.
Releases (30d)Source: GitHub release dataUpdates: WeeklyCaveat: Published releases in the last 30 daysMethodology →
0
Repository usage
Public repositories and source files importing packages tied to RunPod.
Repos importingMetric: Public GitHub repos using company packagesSource: ecosyste.ms Packages APIScope: UTC daily snapshotUpdates: DailyFreshness: 48h target; 48h expected source lagConfidence: HighCaveat: Public GitHub dependency data only; private repos and direct API use outside those packages are not visible.Methodology →
180%
About RunPod
RunPod offers a cost-effective and scalable GPU cloud platform designed for AI workloads. It provides developers and businesses with on-demand GPU instances and serverless compute options for training, fine-tuning, and deploying AI models. The platform plays a significant role in the AI ecosystem by democratizing access to powerful computing resources, enabling faster innovation and deployment of AI applications.
FounderAlex Runyan
Funding
$20M · 1 roundRaised $20M total. Category position #26 of 54 in AI Infrastructure.
Seed2024
$20MIntel Capital, Dell Technologies Capital
Investors
Dell Technologies CapitalIntel Capital
Tracked packages (2)
1 npm, 1 PyPI
@pierre78181/runpod
npmMain npm package@pierre78181/runpod
GPU cloud platform for AI inference and training workloads
runpod
PyPIMain PyPI packagerunpod
GPU cloud platform for AI inference and training workloads