Hyperbolic logo — High-performance inference & on-demand GPU clusters for team...

Hyperbolic

High-performance inference & on-demand GPU clusters for teams that refuse to overpay

Founded 2022 United States San Francisco, United States 38 employees Seed Total: $7.00M Computing, Information Technology +1

General Information

Company Name Hyperbolic
Founded Year 2022
Location United States San Francisco, United States
Employees 38
Industries Computing, Information Technology, Machine Learning
Funding Stage Seed
Business Model IaaS, B2B, On Demand
Revenue Model Usage Based, Pay As You Go, Service Fee
Social

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About Hyperbolic

Hyperbolic is an emerging player in the Computing, Information Technology, and Machine Learning sectors, focusing on providing high-performance GPU clusters and managed inference services. Launched in 2022, this United States-based company caters to AI startups and ML teams requiring reliable capacity on demand while maintaining cost efficiency. Their platform enables researchers to efficiently transition from model development to production, bypassing typical GPU bottlenecks.

The company's appeal lies in its commitment to delivering capabilities faster and more affordably than competitors, as reflected in its slogan: "High-performance inference & on-demand GPU clusters for teams that refuse to overpay." Hyperbolic recently secured a $7.00M Seed Round investment on 30 July 2024 from a prominent group of backers, including LongHash Ventures, Nomad Capital, Bankless Ventures, Balaji Srinivasan, among others. This positions Hyperbolic for strategic growth, enhancing their infrastructure and expanding their market footprint.

Business keywords: High-performance computing, GPU clusters, Managed inference, AI startups, ML teams, Cost-effective GPU solutions, On-demand capacity, Model deployment, Prototype to production, Training and inference platform, Scalable GPU solutions, Research acceleration, GPU waitlist avoidance, AI model scaling, Technology infrastructure

Services & Products

On-Demand GPU Cluster Deployment
Serverless AI Inference
Dedicated and Reserved GPU Hosting
AI Model Training and Scaling
AI Consulting Services

Target Customers

AI and Machine Learning Engineers Startup Founders Technical AI Teams AI Developers Enterprises needing AI Infrastructure

Funding Rounds & Investors (2)

View All
Funding Stage Amount Investors Lead Investors Date
Seed Round $7.00M 10
LongHash Ventures, Nomad Capital +8
30 Jul 2024
Seed Round Undisclosed -
01 Jan 2023

Hyperbolic Alternatives & Competitors

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FAQ About Hyperbolic

High-performance inference & on-demand GPU clusters for teams that refuse to overpay
Hyperbolic was founded in 2022.
Hyperbolic is headquartered in San Francisco, United States.
Hyperbolic operates in Computing, Information Technology and Machine Learning. Its work centres on High-performance computing, GPU clusters, Managed inference and AI startups. Its customers include AI and Machine Learning Engineers, Startup Founders and Technical AI Teams.
Hyperbolic has a IaaS, B2B and On Demand business model. Its revenue comes from Usage Based, Pay As You Go and Service Fee.
Hyperbolic has approximately 38 employees.
Hyperbolic has completed 2 funding rounds, raising a total of $7.00M. The latest funding stage is Seed.
Hyperbolic offers: On-Demand GPU Cluster Deployment, Serverless AI Inference, Dedicated and Reserved GPU Hosting, AI Model Training and Scaling, AI Consulting Services.
Top alternatives and competitors to Hyperbolic include Fluidstack, Banana, Predibase (acquired by Rubrik), Paperspace, Voltage Park. These companies operate in related industries and serve comparable markets. You can compare them side by side on Bounce Watch.
Hyperbolic and Fluidstack are both companies in similar industries. Compare their funding, team size, growth signals, and market position on Bounce Watch to see which one fits your needs.

Source: BounceWatch company record for Hyperbolic, https://bouncewatch.com/company/hyperbolic, updated 29 March 2026. When citing, please name BounceWatch and link this page.

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