Boost Run
Boost Run is an AI cloud infrastructure company that delivers bare-metal NVIDIA GPU compute, managed Kubernetes, and shared storage on demand to enterprise AI, frontier AI labs, regulated industries, and government customers across six U.S. data centers with five additional locations in progress.
- Company typePublic
- Founded2023
- HeadquartersNorthbrook, United States
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
What Boost Run does
Boost Run operates a bare-metal AI cloud infrastructure platform that delivers NVIDIA GPU compute on demand to enterprise AI and high-performance computing customers. The platform exposes a unified management console and RESTful API through which qualified customers provision thousands of NVIDIA accelerators — spanning B300, B200, H200, H100, A100, RTX PRO 6000, L40S, and RTX 6000 ADA SKUs — alongside CPU nodes, GPU-aware managed Kubernetes (preconfigured with Cilium, CoreDNS, GPU device plugin, GPU feature discovery, and Spectrum X), shared network storage scaling to multiple petabytes (NVMe, object, parallel filesystems), and dedicated firewall and network-cluster primitives. Hyperscaler interconnects into AWS, Azure, and Google Cloud let customer environments plug directly into existing cloud footprints. The infrastructure is deployed across six operational U.S. data centers (Northbrook HQ plus Seattle, North Carolina, Fort Worth, and others), with five additional locations in progress targeting 125MW of capacity. Boost Run achieved NVIDIA Exemplar Cloud validation on Blackwell architecture, a designation requiring performance within 5% of NVIDIA's own reference targets and currently held by only a handful of providers including CoreWeave, Nebius, Oracle Cloud Infrastructure, and Microsoft Azure.
The company operates a hybrid revenue model combining usage-based GPU infrastructure-as-a-service (compute, storage, networking, and support as separate invoice line items) with subscription-priced managed Kubernetes add-ons, scoped against custom contract terms with flexible prepayment and net-terms options. Go-to-market blends an engineering-led enterprise field-sales motion (a five-step engagement from discovery through ongoing support, including a Request-for-Build program for tailored architectures) with channel distribution via Carahsoft for federal/state/local government and CDW for enterprise technology buyers. SOC 2 Type II, HIPAA, ISO 27001, and ISO 27701 certifications are maintained at the operator level, addressing regulated-industry requirements. Customer base spans frontier AI labs, regulated finance and healthcare buyers, HPC/scientific research, and government/public sector.
Founded by Andrew Karos in 2023 and headquartered in Northbrook, Illinois, Boost Run completed its business combination with Willow Lane Acquisition Corp. in May 2026, raising $134.5M in gross proceeds with no shareholder redemptions and listing on Nasdaq under ticker BRUN with $940M in long-term contracted revenue. Post-IPO the company secured $471.7M in a 36-month non-cancelable contract with Thinking Machines Lab and additional commercial agreements including a $127M two-year Fluidstack contract. A $1.44B purchase agreement with Dell Technologies, alongside Dell Financial Services and Data Sales financing, supports hardware supply and capital deployment aligned to customer contract timelines. The executive team includes CEO Andrew Karos (formerly of Galaxy Digital and Blue Fire Capital), COO Harry Georgakopoulos, CFO Erik Guckel, CTO Daniel Gormley-Rahn, and CIO Karim Ali.
Boost Run firmographics
Firmographics- Name
- Boost Run
- Legal name
- Boost Run, Inc.
- Website
- https://boostrun.com
- Company type
- Public
- Founded year
- 2023
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Short description
- Boost Run is an AI cloud infrastructure company that delivers bare-metal NVIDIA GPU compute, managed Kubernetes, and shared storage on demand to enterprise AI, frontier AI labs, regulated industries, and government customers across six U.S. data centers with five additional locations in progress.
- Ownership category
- akta.pro rank
Boost Run industry classification
Industry- Product category
- AI Cloud Infrastructure
- NAICS
- Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (51821), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (518), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (5182)
- SIC
- Services-Computer Programming, Data Processing, Etc. (7370), Services-Computer Processing & Data Preparation (7374)
- akta.pro primary industry
- AI Compute Cloud & GPU-as-a-Service (HDAAAAAK)
- akta.pro secondary industries
- GPU-Accelerated & AI Training/Inference Servers (HDACABAG), GPU/Accelerator Compute Servers (HDABADAC), AI Server Systems & HGX/Accelerator Platforms (HDAAAAAB), Graphics Processing Units (GPUs) & Parallel Accelerators (HDAHAJAE), AI Compute Virtualization & Scheduling (GPU virtualization, cluster schedulers) (HDAAAAAG)
Keywords
Where Boost Run is headquartered
LocationHeadquarters
- HQ city
- Northbrook
- HQ country
- United States
- HQ region
- North America
Offices4 records
Markets served
Boost Run business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Infrastructure, Technology or R&D, Personnel, Operations, Marketing or Sales
Revenue model
- GPU Infrastructure as a Service: Infrastructure-as-a-Service delivered on bare metal NVIDIA GPU fleets. Revenue generated through compute rentals, storage, networking, and support as line items on invoices. Custom pricing scoped to configuration and term length. Supports flexible term lengths, prepayment options, and net terms.
- Managed Kubernetes Services: Revenue from managed Kubernetes orchestration on top of GPU rentals. Preconfigured with GPU-aware scheduling, autoscaling, and integrated networking.
- Shared Network Storage: NVMe SSDs, object storage, and parallel filesystems tuned for AI and HPC throughput. Scales to multiple petabytes.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Hybrid | Multi-year contract | Custom enterprise pricing based on configuration and term length |
| Subscription | Monthly | Managed Kubernetes add-on service |
Go-to-market motion3 records
Distribution channels4 records
Marketing channels5 records
Boost Run product offering
Product offeringCore offering
Boost Run provides bare metal NVIDIA GPU cloud infrastructure for AI training, inference, and high-performance computing workloads. The company operates a unified platform with a management console and RESTful API that allows enterprise customers to provision thousands of GPUs in minutes, alongside managed Kubernetes orchestration, shared network storage (NVMe, object, and parallel filesystems), and a custom Request for Build program for tailored infrastructure designs.
Product overview
Boost Run is an AI cloud infrastructure company offering a unified platform combining GPU compute servers (NVIDIA B300, B200, H200, H100, A100, RTX PRO 6000, L40S, RTX 6000 ADA), managed Kubernetes orchestration, shared network storage (NVMe, object, parallel filesystems), and a console/API management layer. The core Boost Run Platform enables enterprise customers to provision thousands of GPUs in minutes through an intuitive management console and robust API. The Request for Build (RFB) program provides custom infrastructure design for tailored networking, storage, and geographic requirements. NVIDIA Exemplar Cloud status on Blackwell architecture validates infrastructure performance for enterprise AI workloads.
Differentiator
Problem solved
Functional benefit
Products and services
- Boost Run Platform Unified management console and API layer for provisioning and managing GPU compute servers, CPU nodes, managed Kubernetes clusters, and shared storage. Enables organizations to deploy thousands of GPUs in minutes across top-tier data centers.
- GPU Compute Servers Bare metal GPU servers built on NVIDIA accelerators (B300, B200, H200, H100, A100, RTX PRO 6000, L40S, RTX 6000 ADA) deployed in top-tier data centers and provisioned through the Boost Run platform for AI training, inference, and HPC workloads.
- Managed Kubernetes Service GPU-aware Kubernetes orchestration pre-configured with Cilium, CoreDNS, GPU device plugin, GPU feature discovery, and Spectrum X network operator. Enables spinning up Kubernetes clusters on top of GPU rentals with autoscaling and integrated networking.
- Request for Build (RFB) Program Custom infrastructure design service pairing customers with Boost Run engineers to architect tailored AI infrastructure solutions including custom networking fabric, storage performance, dedicated capacity, and specific geographic footprint.
- Shared Network Storage Network storage scaling to multiple petabytes, including NVMe SSDs, object storage, and parallel filesystems tuned for AI and HPC throughput, mounted alongside compute over private fabric.
- Console and API Access Management console and RESTful API for GPU rentals, Kubernetes clusters, firewall policies, network clusters, and shared storage. Every console action maps to an API call; SSH keys deploy automatically; organization-level access controls.
Quantifiable outcome
- Provision thousands of GPUs in minutes
- +3 more outcomes
Companies that use Boost Run
Customer profileNamed customers3 records
Segments4 records
Ideal customer profiles3 records
Boost Run technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration4 records
AI capability3 records
Feature5 records
Boost Run partnerships and signals
Strategic signalPartnerships
Eleven partnerships are on record, tiered core, flagship, major and supporting.
- CDWcoreCDW expanded its AI portfolio through a strategic relationship with Boost Run. CDW is a leading provider of technology solutions to business, government, education, and healthcare customers, enabling broader market reach for Boost Run's AI infrastructure services.
- Dell Technologiesflagship$1.44 billion purchase agreement with Dell Technologies to secure hardware, software, and financing for meeting growing enterprise AI infrastructure demand. Expanded partnership includes financing capabilities through Dell Financial Services, enabling flexible capital deployment aligned to customer contract timelines. Partnership precedes Boost Run's Nasdaq listing under ticker BRUN.
- NVIDIAcoreBoost Run achieved NVIDIA Exemplar Cloud status on NVIDIA Blackwell architecture, becoming one of only a handful of cloud providers worldwide alongside CoreWeave, Nebius, Oracle Cloud Infrastructure, and Microsoft Azure. Boost Run is also an authorized NVIDIA Cloud Partner and NVIDIA Preferred Cloud Partner, enabling rapid GPU deployment for enterprise customers through access to NVIDIA GPU fleets.
- Fluidstackmajor$127 million two-year contract with Fluidstack for AI inference and training clusters. Fluidstack is an AI cloud platform customer, representing significant contracted revenue as part of Boost Run's ecosystem expansion ahead of the SPAC merger.
- CarahsoftcorePartnership with Carahsoft to deliver enterprise-grade AI cloud infrastructure to government and public sector agencies. Carahsoft serves as the government IT solutions provider and aggregation platform for the partnership, leveraging existing federal, state, and local government relationships.
- TierPointsupportingData center operator partner providing colocation capacity for Boost Run's AI infrastructure deployment across U.S. locations.
- DDNsupportingStorage solutions partner providing AI-optimized storage solutions as part of Boost Run's end-to-end secure AI cluster offerings.
- LumensupportingNetworking partner providing connectivity solutions as part of Boost Run's AI infrastructure ecosystem.
- NetrissupportingNetworking infrastructure partner providing network management and automation solutions for Boost Run's AI cloud platform.
- vClustersupportingSoftware partner providing virtual Kubernetes cluster solutions as part of Boost Run's managed Kubernetes service offering.
- LenovosupportingOEM partner providing server hardware as part of Boost Run's AI infrastructure solutions ecosystem.
Scale indicators12 records
Recent moves7 records
Expansion highlights6 records
Boost Run competitors and assessment
Company assessmentBroad incumbents
- Google Cloud Platform: Google Cloud provides A-series GPU VMs and TPU offerings for AI workloads. Boost Run's dedicated interconnect to GCP signals ecosystem integration, while GCP competes for the same enterprise AI training and inference customers from a hyperscaler position with proprietary AI accelerators.
- Oracle Cloud Infrastructure: Oracle Cloud Infrastructure is a fellow NVIDIA Exemplar Cloud holder and large-scale hyperscaler offering GPU instances for AI workloads. It competes with Boost Run at the upper end of enterprise AI deployments while also serving a much broader portfolio of cloud customers.
- Microsoft Azure: Microsoft Azure is a global hyperscaler and fellow NVIDIA Exemplar Cloud holder on Blackwell architecture. It offers Azure ND-series GPU VMs for AI training and inference, competing with Boost Run for enterprise workloads while also providing a much wider portfolio of cloud services.
- Amazon Web Services (EC2 GPU instances): AWS is the largest hyperscaler and offers EC2 P-series and G-series GPU instances for AI training and inference. Boost Run's hyperscaler interconnects to AWS position them as complementary, but AWS also competes for the same enterprise AI compute workloads through its massive scale and broader service portfolio.
Direct peers
- CoreWeave: CoreWeave is the leading pure-play GPU cloud provider and fellow NVIDIA Exemplar Cloud holder on Blackwell architecture. It offers NVIDIA GPU compute (H100, H200, Blackwell) with similar bare-metal, Kubernetes, and storage stack to Boost Run, making it the most directly comparable peer in product, customer base, and go-to-market.
- Lambda Labs: Lambda is a GPU cloud and deep learning workstation company offering NVIDIA H100/B200 clusters for AI training and inference. It competes directly with Boost Run for enterprise and research customers needing dedicated GPU capacity on similar NVIDIA architectures.
- Crusoe: Crusoe provides AI cloud infrastructure built on NVIDIA GPUs with energy-efficient data centers, targeting enterprise AI training workloads. It is a direct competitor to Boost Run in the specialized GPU cloud category with a similar focus on NVIDIA-centric AI compute.
- Nebius: Nebius is an AI infrastructure company offering NVIDIA GPU cloud services with full-stack capabilities including managed Kubernetes and storage. Named alongside Boost Run as an NVIDIA Exemplar Cloud holder on Blackwell, it competes head-to-head for enterprise AI training and inference workloads.
Emerging players
- Vultr: Vultr is a cloud infrastructure provider offering bare-metal GPU instances and Kubernetes services targeting developers and enterprises. It competes with Boost Run for cost-sensitive AI workloads, with overlapping product capabilities but a less enterprise-focused go-to-market.
- Fluidstack: Fluidstack is an AI cloud platform and Boost Run customer ($127M two-year contract), but also operates in the GPU cloud space offering AI compute services. It is a partial competitor and partial collaborator, serving AI training and inference customers with overlapping GPU infrastructure.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key risks6 records
Key highlights7 records
Customer concentration
Boost Run social profiles
Digital presenceBoost Run compliance and trust
Trust signalCompliance4 records
Boost Run financial estimates
Financial estimateRevenue estimate
Valuation estimate
Boost Run leadership team
Management profileNumber of profiles
Profiles10 records
Boost Run funding detail
Funding detailFunding overview
Funding rounds1 record
Investors
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Boost Run M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Boost Run
What does Boost Run do?
Boost Run provides bare metal NVIDIA GPU cloud infrastructure for AI training, inference, and high-performance computing workloads. The company operates a unified platform with a management console and RESTful API that allows enterprise customers to provision thousands of GPUs in minutes, alongside managed Kubernetes orchestration, shared network storage (NVMe, object, and parallel filesystems), and a custom Request for Build program for tailored infrastructure designs.
Is Boost Run a public or private company?
Boost Run is a public company. It is classified as public and is currently operating.
When was Boost Run founded?
Boost Run was founded in 2023. It employs 11 to 50 people.
Where is Boost Run based?
Boost Run is headquartered in Northbrook, United States, in the North America region.
How does Boost Run make money?
Three revenue lines are on record. GPU Infrastructure as a Service is the primary driver. The others are managed Kubernetes Services and shared Network Storage.
Who are Boost Run's main competitors?
Broad incumbents on record are Google Cloud Platform, Oracle Cloud Infrastructure, Microsoft Azure and Amazon Web Services (EC2 GPU instances). Direct peers are CoreWeave, Lambda Labs, Crusoe and Nebius. Emerging players are Vultr and Fluidstack.
Does Boost Run have an API?
Yes. The Boost Run platform exposes a RESTful API enabling developers to programmatically manage GPU rentals, Kubernetes clusters, firewall policies, network clusters, and shared storage. Authenticated via API keys with organization-level access controls, every action available in the management console maps to an API call, allowing automation through developer tools of choice. SSH keys deploy automatically upon provisioning. Developer documentation is at docs.boostrun.com.
What industry is Boost Run in?
Boost Run's product category is AI Cloud Infrastructure. Its primary akta.pro industry code is HDAAAAAK, AI Compute Cloud & GPU-as-a-Service, with a secondary code of HDACABAG, GPU-Accelerated & AI Training/Inference Servers. Its NAICS code is 51821 and its SIC code is 7370.