HOverview
Hyperbolic Labs builds a decentralized platform for data transmission that lets anyone participate and deliver any kind of data without needing permission. It provides a multi-tier infrastructure designed to meet different needs for latency, privacy, and reliability, making it suitable for Web3 applications. The service works by offering a decentralized data-transfer network supported by subscription plans, transaction fees, and premium services, with revenue coming from these fees and tailored offerings. Unlike traditional centralized data-transfer providers, Hyperbolic emphasizes permissionless participation and a distributed network to improve security, speed, and reliability. The company aims to shift how data moves over the internet by providing a secure, efficient, and reliable decentralized alternative for enterprises, developers, and organizations in the Web3 ecosystem.
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About Hyperbolic Labs
Industries
Company Size
51-200
Company Stage
Series A
Total Funding
$49.7M
Headquarters
San Francisco, CA
Founded
N/A
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What believers are saying
- Hyperbolic says 250,000 developers used the platform and $15M ARR existed by late 2025.
- October 2026 product launches broaden adoption beyond marketplaces into managed infrastructure and automation.
- Walden Catalyst, Dell Technologies Capital, and General Catalyst back expansion into $150M ARR ambition.
What critics are saying
- Hyperbolic depends on ~30 neoclouds; provider churn breaks supply and customer reliability quickly.
- The Global Compute Grid needs resale, pricing, and isolation rules that no customer has seen.
- A single outage, security incident, or GPU shortage can collapse trust in Hyperbolic's marketplace.
What makes Hyperbolic Labs unique
- October 2026 Series A-1 from Walden Catalyst validates Hyperbolic's GPU orchestration thesis.
- Forge unifies heterogeneous neoclouds into one control plane for provisioning, networking, and operations.
- Rental Operator and Managed Kubernetes embed Hyperbolic directly into customer Kubernetes workflows.
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Funding
Total Funding
$49.7M
Above
Industry Average
Funded Over
4 Rounds
Industry standards
Growth & Insights and Company News
6 month growth
-9%1 year growth
-2%2 year growth
-2%Weekly Rundown - October 30: 15 rounds flagged before they were announced, 5 founders in stealth, 5 early startups. everything frontrun flagged this week, oct 23 to oct 30, in one place. Early startups (5). companies flagged while still small, before most people have heard of them. Founders in stealth (5). people flagged before their company has a name. New accelerator startups (10). companies that joined a program this week. the ones marked "not listed yet" are not in the program's public directory yet. Fundraise receipts (15). average lead time: 147 days. * Paradev (formerly Superset) (@ParadevAI) raised $11.5M seed, led by Union Square Ventures. frontrun flagged it on February 13, 255 days before the announcement. its post (website) * Hyperbolic (@hyperbolic_labs) raised $30M Series A, led by Walden Catalyst. frontrun flagged it 232 days before the announcement. announcement · its post (website) * Predicate (@0xPredicate) raised $8M Series A, led by Blockchain Capital. frontrun flagged it 219 days before the announcement. announcement · its post (website) * Maximor AI (@maximor_ai) raised $45M Series A, led by Nexus. frontrun flagged it 207 days before the announcement. announcement · its post (website) * Foundry Robotics (@FoundryRobotics) raised $100M Series A, led by Marlinspike. frontrun flagged it on April 9, 202 days before the announcement. announcement · its post (website) * Mochatrade (@mochatradeapp) raised $5.5M seed, led by CoinFund. frontrun flagged it 198 days before the announcement. announcement · its post (website) * Manicule (@manicule) raised $1.3M seed, led by Broom Ventures. frontrun flagged it 156 days before the announcement. announcement · its post (website) * Orbital Operations (@orbitalops_) raised $7M seed, led by DTX Ventures. frontrun flagged it 138 days before the announcement. its post * Phonic (@phonic_co) raised $27.5M Series A, led by First Round Capital. frontrun flagged it 114 days before the announcement. announcement · its post (website) * Reflex (@getreflex) raised $14M Series A, led by Standard Capital. frontrun flagged it 93 days before the announcement. announcement · its post (website) * Rendezvous Robotics (@rdvrobotics) raised $20M seed, led by MaC Venture Capital and Toyota Ventures. frontrun flagged it on August 3, 86 days before the announcement. announcement · its post (website) * General Compute (@general_compute) raised $100M Series A, led by Blackbird and Abstract Ventures. frontrun flagged it on August 2, 86 days before the announcement. announcement · its post (website) * Northstar (@northstarrobots) raised $7M seed, led by Wing Venture Capital. frontrun flagged it 79 days before the announcement. announcement · its post (website) * Lumaril (@lumaril) raised $66M, led by Elad Gil. frontrun flagged it on August 14, 74 days before the announcement. announcement · its post (website) * Plato (@plato_rl) raised $16M Series A, led by Nava Ventures. frontrun flagged it 71 days before the announcement. announcement · its post (website) Early AI cybersecurity startups (10). This week's article. on october 21st, two php bugs took wikipedia and the internet archive offline. security people are calling it black october. every attack needs a defender. here are 10 early ai security startups see the signal this article is built on frontrun tracks the follow graphs of 2,900+ venture investors and flags companies months before rounds are announced. companies and founders surfaced on frontrun. curated, every week.
Introducing Rental Operator: rent hyperbolic GPUs from your Kubernetes cluster, now in beta. Declare GPU rentals as Kubernetes resources, apply them with kubectl or GitOps, and let an open-source operator create, track and terminate them through the Hyperbolic API Teams that run Kubernetes describe almost everything as resources: deployments, certificates, DNS records. GPU rentals have been the exception. Someone rents a machine in the dashboard or writes a script against the API, and the rental lives outside the manifests, the reviews and the cluster that uses it. Today, Hyperbolic is introducing Rental Operator, now available in beta. Rental Operator makes a Hyperbolic GPU rental a Kubernetes resource. You store your API key in a Secret, apply a GPURental, and the operator rents the GPUs through the Hyperbolic API, keeps the resource's status current and puts the SSH details on it. Delete the resource and the rental ends. Rental Operator in 70 seconds: configure, discover, rent, connect and release. What Rental Operator changes Hyperbolic already offers self-serve access to on-demand GPUs from the console and the API. Rental Operator lets you rent them from the Kubernetes cluster you already run, and the rentals it creates are ordinary on-demand rentals on your account. Rental Operator is open source under the Apache-2.0 license, together with hyperbolic-go, the Go SDK it is built on. What is available today. Rental Operator installs into your cluster with one Helm chart and adds five custom resources under compute.hyperbolic.ai/v1alpha1: * GPURental: One on-demand rental. The operator creates it, follows it to Running, publishes its SSH details, and on delete terminates it and waits until Hyperbolic confirms it is gone. * ProviderConfig: Points at the Secret holding your API key, checks the key, and shows your account's balance, active rentals and hourly cost as Hyperbolic reports them. * ClusterProviderConfig: Does the same for one key that a platform team shares across namespaces. * SSHKey: Saves an SSH public key on your account, so rentals can authorize it by name. * GPUAvailability: A filtered, always-fresh view of what your account can rent. Rental Operator supports Kubernetes 1.35 to 1.37 and is tested end to end on each. Every release signs the container image and the chart, and the chart ships Prometheus metrics and alert rules for the operator. hyperbolic-go, the official Go SDK for the Hyperbolic API, is open source alongside it. It is generated from the API's published OpenAPI specification and includes an in-memory fake of the API for tests. How it works. The operator is a controller in your cluster that calls the Hyperbolic API with your API key, the same way you would. It keeps no state of its own. Everything durable lives on the resources or at Hyperbolic. Rental Operator runs in your cluster and calls the Hyperbolic API with your API key. Deleting a GPURental ends the rental. The resource stays in Terminating until Hyperbolic confirms the rental is gone, and deleting a whole namespace terminates its rentals too. The operator polls the API every 10 seconds while a rental starts and every 60 seconds once it runs, and it batches all rentals on one account into a single list request. Pricing and billing. Rentals created by the operator are ordinary on-demand rentals on your Hyperbolic account, billed at the same hourly rates. Rental Operator is free, open-source software and adds no charge of its own. Your ProviderConfig shows your balance, active rentals and hourly cost as Hyperbolic reports them, so spend is visible from kubectl. Before creating a rental, the operator checks that your balance covers about an hour of it. If it doesn't, the rental waits as Blocked and nothing is created. How to rent, connect to and release a GPU from kubectl. Install the chart, connect your account, then rent a GPU, connect to it and release it. GPU types, regions, prices and addresses in these examples are illustrative. Use the values from your own account. 1. Install the chart. Install the chart from GitHub's container registry: helm install rental-operator \ oci://ghcr.io/hyperboliclabs/charts/rental-operator -version 0.1.0 \ -namespace rental-operator-system -create-namespace 2. Connect your account. Store your API key in a labeled Secret, create a ProviderConfig named default, and save your SSH key on the account, as the quickstart shows. 3. Rent a GPU. A rental is one resource: apiVersion: compute.hyperbolic.ai/v1alpha1 kind: GPURental metadata: name: train-run-42 spec: providerConfigRef: {name: default} gpuType: h100 gpuCount: 8 sshKeyRefs: - name: me Apply it and watch it reach Running: $ kubectl apply -f train-run-42.yaml gpurental.compute.hyperbolic.ai/train-run-42 created $ kubectl get gpurentals NAME PHASE GPU COUNT REGION CENTS/HR RENTAL-ID AGE train-run-42 Running h100 8 Hyperbolic-central-1 2200 B-k3Qm7vXa2P 6m 4. Connect over SSH. Read the SSH address from the resource's status: $ kubectl get gpurental train-run-42 -o jsonpath='{.status.instances[*].ssh}' [email protected]:22 5. Release the GPUs. When you are done, delete it. The resource stays in Terminating until Hyperbolic confirms the rental has ended: $ kubectl delete gpurental train-run-42 Delete GPURentals before you tear down the cluster or uninstall the operator, so the operator can end their rentals. Apply a GPURental, watch it reach Running, connect over SSH, then delete it. Built for teams that already run Kubernetes. A GPURental is an ordinary Kubernetes resource, so it fits the workflow your cluster already has. It can live in Git next to the workloads that need it, go through review, and sync with the tools you already use. Platform teams can share one API key across namespaces with a ClusterProviderConfig. Its Secret stays in the operator's own namespace, and the platform team chooses which namespaces may use it. For tighter installs, the chart has a namespaced mode that grants the operator no cluster-wide access to Secrets. If you would rather Hyperbolic run the cluster, Managed Kubernetes, also in beta, gives you a hosted control plane with GPU worker nodes. Rental Operator is for the cluster you already run. Who manages what. Hyperbolic manages the rental API, the GPU machines and their provisioning, billing, and the Rental Operator project and its releases. Your team manages the cluster the operator runs in, the Secret holding your API key, your ProviderConfigs and SSH keys, and the workloads you run on rentals over SSH. What is included in the beta. Rental Operator 0.1.0 is the first public release and is in beta. It covers on-demand rentals, and its API is compute.hyperbolic.ai/v1alpha1, so fields can change between minor releases. The release notes include migration steps for every change. Open source and contributing. Rental Operator and hyperbolic-go are open source under the Apache-2.0 license: Each release signs the image and the chart with cosign, and the chart is listed on Artifact Hub. The repository's install guide shows how to verify a release before you install it. Issues and pull requests are welcome, and questions go to GitHub Discussions. Get started with Rental Operator. Rental Operator is available in beta. Install the chart, store your API key in a labeled Secret and apply your first GPURental by following the Rental Operator quickstart, or read the Rental Operator documentation.
AI startup Hyperbolic raises $30 million to connect cloud computing providers and improve GPU access. SAN FRANCISCO, United States - Artificial intelligence infrastructure startup Hyperbolic has raised $30 million in Series A-1 funding to expand its platform connecting businesses and developers with computing resources across multiple AI cloud providers. The investment round was led by Walden Catalyst, the venture capital firm co-founded by Intel CEO Lip-Bu Tan and former Samsung executive Young Sohn. Announced in late October 2026, the financing brings Hyperbolic's total funding to approximately $50 million and reflects growing interest in software designed to simplify access to specialized AI computing infrastructure. Hyperbolic Addresses Fragmented AI Cloud Infrastructure The rapid expansion of artificial intelligence has increased demand for graphics processing units and other specialized processors used to train and operate AI models. While major cloud computing companies provide access to these resources, a growing number of specialized infrastructure providers, often described as neoclouds, have entered the market. These companies operate computing facilities designed specifically for AI workloads, but their platforms may use different hardware configurations, pricing structures, and software systems. Hyperbolic is developing a marketplace and management platform intended to connect these providers with customers seeking computing capacity. Its technology allows developers and businesses to discover available resources without separately negotiating and managing infrastructure across numerous cloud operators. By simplifying access to different providers, the company aims to improve resource utilization and reduce the complexity of deploying AI applications. Funding Supports Expansion of Computing Management Tools The latest financing includes participation from Dell Technologies Capital, General Catalyst, Vista Equity Partners, and Cambium Capital. Hyperbolic plans to use the investment to expand software tools that help customers manage computing workloads across different AI infrastructure providers. These capabilities are designed to address operational challenges associated with varying processor architectures, software environments, and service arrangements. According to company-reported figures, Hyperbolic works with approximately 30 neocloud providers and has around $200 million in annual computing capacity connected to its platform. The company also reports that more than 250,000 developers use its services. These figures describe platform activity and available computing resources rather than confirmed annual revenue, making the distinction important when evaluating the company's commercial scale. AI Computing Marketplace Could Improve Resource Utilization One of Hyperbolic's planned developments involves allowing customers to resell computing capacity they are not using. This approach could create additional flexibility for businesses that reserve GPU resources but experience changing demand. Rather than leaving unused capacity idle, customers may eventually be able to make it available to other users through the platform. The company believes these capabilities could contribute to more flexible markets for AI computing resources. However, the effectiveness of such arrangements will depend on infrastructure availability, contract terms, technical compatibility, and customer demand. Computing capacity is not always interchangeable across providers, particularly when applications require specific processors, networking configurations, or performance characteristics. Startup Targets Growing Demand for AI Infrastructure Hyperbolic's expansion comes as businesses increasingly evaluate the cost and availability of the computing resources required to operate artificial intelligence applications. Organizations developing advanced models must consider infrastructure expenses alongside performance, reliability, and data security requirements. Platforms that simplify access to multiple computing providers could offer an alternative to depending on a single infrastructure supplier. The company says it is operating around break-even and is targeting substantial recurring revenue growth, although future revenue targets are not guaranteed results. Its ability to expand will depend on attracting additional cloud providers, maintaining reliable services, and demonstrating economic advantages for customers. The funding illustrates how the growing AI infrastructure market is creating opportunities for startups focused on coordination and software management rather than building data centers themselves.
Hyperbolic raises $30M Series A-1. Hyperbolic raises $30M Series A-1 round led by Walden Catalyst to expand its AI compute management and GPU cloud infrastructure platform. Updated October 29, 2026 Hyperbolic, a San Francisco-based AI infrastructure startup that helps companies manage and run computing power across multiple GPU cloud providers, has raised $30 million in a Series A-1 funding round. This new investment brings the company's total funding to $50 million. Investors. The round was led by Walden Catalyst, a venture firm founded by Intel CEO Lip-Bu Tan and former Samsung president Young Sohn. Additional participating investors included Dell Technologies Capital, General Catalyst, Vista Equity Partners, Cambium Capital, and Salience Capital. Hyperbolic use of funds. Hyperbolic plans to use the capital to further develop its Forge platform and create tools for running workloads across multiple clouds. Additionally, the company intends to build a Global Compute Grid, enabling customers to resell unused computing power, while also implementing spot instances, dynamic pricing, and hedging tools to facilitate a market-like trading environment for GPU capacity. About Hyperbolic. Founded by Jasper Zhang and Yuchen Jin, Hyperbolic provides a control plane called Forge that integrates mixed clusters of bare-metal GPUs into a standardized capacity layer. By connecting customers to approximately 30 cloud providers through a single dashboard, the company simplifies the management, networking, and operation of AI computing resources. Funding details. Company: Hyperbolic Raised: $30M Round: Series A-1 Funding Date: October 2026 Lead Investor: Walden Catalyst Additional Investors: Dell Technologies Capital, General Catalyst, Vista Equity Partners, Cambium Capital, Salience Capital Software Category: AI Infrastructure Source: https://aifundingtracker.com/hyperbolic-raises-30m-series-a-1-led-by-intel-ceo-lip-bu-tans-walden-catalyst/ Updated October 29, 2026
Hyperbolic reportedly raised $30 million in Series A-1. Walden Catalyst led the reported round. The three listed rounds add to $49 million, while Business Insider reported $50 million in cumulative funding. October 28, 2026 Key points * 01 Business Insider reported a $30 million Series A-1 led by Walden Catalyst on October 27, 2026. * 02 The reported participants include Dell Technologies Capital, General Catalyst, Vista Equity Partners and Cambium Capital. * 03 The listed $30 million, $12 million and $7 million rounds add up to $49 million; Business Insider reported $50 million raised overall. * 04 Hyperbolic's marketplace connects customers with computing capacity across providers; the report cites about 30 close provider relationships. Business Insider reported a $30 million Hyperbolic Series A-1 led by Walden Catalyst. The listed rounds total $49 million, versus a reported $50 million raised. Business Insider reported on October 27, 2026, that Hyperbolic raised $30 million in a Series A-1 round led by Walden Catalyst. Dell Technologies Capital, General Catalyst, Vista Equity Partners and Cambium Capital also participated. Lip-Bu Tan, Intel's CEO, co-founded Walden Catalyst with Young Sohn, a former Samsung president; the reported lead investor was the venture firm. What Hyperbolic's marketplace does. Business Insider describes Hyperbolic as an AI-chip marketplace with software intended to help customers find and use computing capacity across providers with different chips, networking and software. The report says Hyperbolic works closely with about 30 neocloud providers, including WhiteFiber and Vector Core Compute. It also describes a broader ambition to connect customers with hundreds of providers; that is distinct from the roughly 30 reported relationships. Hyperbolic's GPU Marketplace had an earlier product milestone in December 2024, when the company announced that it was moving from alpha to beta. In the video description, Hyperbolic said the marketplace had rented more than 10,000 GPUs to over 1,000 users and processed 33,000 GPU hours. How the listed funding adds up. The three disclosed rounds total $49 million. Business Insider reported cumulative funding of $50 million, a $1 million difference from the itemized amounts; it did not explain the gap. | Financing | Amount | Reported lead or timing | | Seed round | $7 million | Earlier in 2024 | | Series A | $12 million | 2024; led by Variant and Polychain Capital | | Series A-1 | $30 million | Led by Walden Catalyst | Business Insider reported the Series A-1 on October 27, 2026. The listed amounts, $30 million + $12 million + $7 million, equal $49 million. The company's reported operating figures. Business Insider said roughly $200 million worth of compute was connected to Hyperbolic's software annually and that more than 250,000 developers used the service. The compute figure describes capacity connected through the software, not Hyperbolic's revenue. Hyperbolic founder and CEO Jasper Zhang told Business Insider that the company was breaking even and targeting $150 million in annual recurring revenue by the end of 2026. Annual recurring revenue, or ARR, is the yearly value of recurring subscriptions. Zhang's break-even statement and revenue target were reported as his claims. The report also said Hyperbolic expected to have 50 employees by the end of 2026 and planned to use the new funding to expand software tools for managing AI chips across neoclouds. Other Languages Read this article in another available language.
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About Hyperbolic Labs
Industries
Company Size
51-200
Company Stage
Series A
Total Funding
$49.7M
Headquarters
San Francisco, CA
Founded
N/A
Hyperbolic Labs is Hiring for 15 Jobs on Simplify!
Find jobs on Simplify and start your career today
Don't see your dream role? Check out thousands of other roles on Simplify.Browse all jobs