Purpose-built cloud infrastructure for enterprise AI and high-performance computing workloads. GPU compute, CPU nodes, managed Kubernetes, and shared storage in an environment that is secure, certified, and scalable.
As an NVIDIA Cloud Partner with NVIDIA Exemplar Cloud status on the Blackwell architecture, we meet NVIDIA's reference standards for AI infrastructure at scale. Provision thousands of nodes in minutes through an intuitive management console and robust API.
GPU compute, CPU nodes, managed Kubernetes orchestration, and shared storage delivered through a unified platform hosted in top-tier datacenter facilities. Organizations rely on Boost Run to power training, inference, and large-scale HPC with the performance, security, and reliability their operations require.
Provision and scale thousands of nodes in minutes through an intuitive management console and a robust API layer. Our Infrastructure-as-Code automation deploys complex network configurations and orchestrates compute on demand, ensuring consistent, secure connectivity across multiple data centers.
Boost Run maintains certifications at the operator level and partners with data center facilities that uphold equivalent security and compliance standards. Industry-leading controls keep your data, models, and intellectual property safeguarded end to end.
Bare metal access to a broad NVIDIA fleet, deployed in top tier datacenters and provisioned through the Boost Run platform. Pick the architecture that fits your workload, from established training silicon through the latest Blackwell generation.
Blackwell Ultra. Frontier model training and large scale inference.
Blackwell. Next generation training and high throughput inference at scale.
Hopper with expanded HBM. Large model inference and demanding training workloads.
Hopper. The proven workhorse for production training and HPC.
Ampere. Mature platform for training, fine tuning, and HPC.
Blackwell server edition. Professional visualization and mixed AI workloads.
Ada Lovelace. Strong fit for inference, rendering, and graphics workloads.
Ada Lovelace pro. Design, rendering, and lighter inference workloads.
Grace Blackwell Ultra systems pairing Grace CPUs with Blackwell Ultra GPUs over high bandwidth NVLink. Built for the most demanding training runs and reasoning workloads. Reserve capacity ahead of general availability.
The next NVIDIA platform on our roadmap, built on the Rubin architecture. Reserve roadmap capacity through your account team to align delivery with your training calendar.
The Boost Run platform brings together bare metal GPU servers, CPU nodes, managed Kubernetes, shared network storage that scales to multiple petabytes, high throughput networking across both east west and north south fabrics, and dedicated interconnects to the major hyperscalers. Standard offerings cover most AI workloads. When your requirements fall outside the catalog, our Request for Build program lets you work directly with our engineers to design a custom environment from the ground up.
Pick from a wide range of bare metal GPU servers built on the latest NVIDIA accelerators. Sized for training, inference, and HPC at every scale.
Pair your GPU pools with general purpose CPU nodes for orchestration, data preparation, control planes, and stateful services that keep the rest of the stack running smoothly.
Run production workloads on Boost Run's managed Kubernetes service, with scheduling that understands your GPU and CPU pools, autoscaling, and integrated networking and storage.
Provision shared network storage that scales to multiple petabytes. Choose between NVMe SSDs, object storage, and parallel filesystems tuned for AI and HPC throughput.
Design east west and north south networking around your workload. Specify high bandwidth interconnect fabrics, dedicated IP addresses, and tuned egress paths for predictable data movement.
Add dedicated lines into AWS, Azure, and Google Cloud so your environment plugs directly into the cloud footprint you already operate.
A look at how we work with you from the first conversation through to a running cluster, plus how pricing comes together.
A scoping call with our engineering team to understand your workload, scale targets, and timeline.
A custom architecture covering hardware selection, network topology, storage sizing, and managed Kubernetes layout.
Itemized pricing with a delivery schedule and service levels aligned to your contract term.
Procurement, datacenter provisioning, networking, and acceptance testing on the cluster before handover.
Dedicated support from our team once the environment is live, including monitoring, maintenance, and capacity planning.
One control surface for your fleet. Manage GPU rentals, managed Kubernetes clusters, firewall policies, network clusters, and shared storage from the console, or drive everything through our API. Every action you take in the dashboard maps to an API call, so the team running the console and the team writing automation work from the same primitives.
Platform access is provisioned for qualified customers. Contact us to request access.
Browse pricing, request rentals, and manage active servers. Reboot, reprovision, tag, and cancel through the console or API. Connection details are returned the moment a rental goes live.
Spin up Kubernetes clusters on top of your rentals. Cilium, CoreDNS, GPU device plugin, GPU feature discovery, and Spectrum-X network operator come preconfigured.
Define stateful or stateless inbound rules at the network edge so unwanted traffic is dropped before it reaches your servers. Apply a policy to one or many rentals; edits push live within minutes.
Group rentals into private networks inside the same datacenter. The same fabric carries your east west traffic and underpins your Kubernetes clusters.
Mount shared storage that scales to multiple petabytes. NVMe, object, and parallel filesystems sit alongside your compute, attached over the same private fabric.
Authenticate with an API key and drive everything from your tool of choice. SSH keys are deployed automatically on provisioning, and org level access controls keep teams scoped.
Boost Run maintains SOC 2 Type II, HIPAA, ISO 27001, and ISO 27701 certifications at the operator level, and partners with data center facilities that uphold equivalent security and compliance standards. Our commitment to industry-leading standards ensures that your data, models, and intellectual property are safeguarded with the utmost care and diligence. Visit our trust center for more information.
We have implemented rigorous controls and processes to achieve SOC 2 Type II compliance, providing assurance that our systems and operations meet the highest standards for security, availability, processing integrity, confidentiality, and privacy.
Our HIPAA-compliant infrastructure and procedures ensure the secure handling and protection of sensitive healthcare data, enabling you to leverage AI technologies while adhering to stringent privacy and security regulations.
This recognized standard demonstrates our adherence to best practices in implementing and maintaining an Information Security Management System (ISMS), safeguarding the confidentiality, integrity, and availability of your valuable assets.
Extending our ISO 27001 program, ISO 27701 demonstrates that our Privacy Information Management System (PIMS) meets internationally recognized standards for the protection of personal data, supporting regulatory alignment with frameworks such as GDPR.
Boost Run brings together a wealth of experience from diverse backgrounds in engineering, software development, financial mathematics, operations management, AI data-pipeline orchestrations and large-scale infrastructure deployments. With decades of combined expertise, we have honed our skills in tackling complex challenges and delivering innovative solutions.
Click a team member above to view their biography.
Andrew Karos has served as founder and Chief Executive Officer of Boost Run LLC since 2023, where he leads the company's enterprise grade GPU cloud infrastructure platform serving AI and high performance computing customers. Prior to founding Boost Run, Mr. Karos served as Managing Director and Head of Electronic Trading at Galaxy Digital Holdings Ltd. (Nasdaq: GLXY) from 2020 to 2023, where he was a member of the executive committee. Galaxy Digital acquired Blue Fire Capital, LLC, the quantitative trading firm Mr. Karos co-founded and led as Owner and Chief Executive Officer.
At Blue Fire Capital, Mr. Karos built a sophisticated algorithmic trading operation that utilized over $500M in credit facilities for high frequency trading strategies across multiple asset classes, with global infrastructure spanning six countries and thirteen top tier data centers.
Mr. Karos's career has focused on building and scaling technology driven businesses in highly regulated environments, combining expertise in quantitative finance, algorithmic trading, and infrastructure development. His track record encompasses successful company formation, capital deployment, risk management, and strategic exits in both traditional and emerging technology sectors.
Harry Georgakopoulos has served as Chief Operating Officer of Boost Run since April 2024. In his role as Chief Operating Officer, Mr. Georgakopoulos oversees operations for Boost Run's AI infrastructure and high performance computing platform. Prior to joining Boost Run, Mr. Georgakopoulos served as a Managing Director at Galaxy Digital Holdings Ltd. (Nasdaq: GLXY) from November 2020 to March 2024, where he led the company's on chain activities, including researching and managing DeFi trades and working closely with the management team in driving strategic growth initiatives.
Before Galaxy Digital, he held the position of Head of Digital Assets at Blue Fire Capital, LLC from June 2015 to November 2020. Mr. Georgakopoulos began his career as an Electrical Engineer at Motorola after graduating from the University of Illinois at Urbana-Champaign, before transitioning to developing and trading high frequency strategies in equities, futures, options, and digital assets. His expertise encompasses electrical engineering, quantitative finance, and operations management, with extensive experience implementing and deploying AI and reinforcement learning models within the engineering and financial sectors.
He is also the author of "Quantitative Trading with R: Understanding Mathematical and Computational Tools from a Quant's Perspective," published by Palgrave Macmillan in 2015. Mr. Georgakopoulos obtained a Master of Science degree in Financial Mathematics from the University of Chicago in 2005 and a Master's degree in Electrical Engineering from the National Technological University in 2001. He served as an adjunct lecturer in the Financial Risk Management program at Loyola University Chicago between November 2009 and February 2016. He earned his Bachelor's degree from the University of Illinois at Urbana-Champaign in 1999.
He has specialized expertise in financial planning & analysis, mergers & acquisitions, structured finance, debt capital markets and strategic management focused on the financing and deployment of proprietary technologies and strategic growth.
He has closed over $2 billion in corporate transactions, has managed a $3B debt portfolio and has secured funding for first-of-a-kind facility construction. He has also led the development of significant strategic partnerships and joint ventures in the Americas, Europe and Asia.
Erik holds an MBA in Finance, Accounting and Economics from the University of Chicago, a PhD in Chemical Engineering from the University of Illinois-Urbana-Champaign, and a BS in Chemical Engineering from UW-Madison, focused on computational science and engineering and applied mathematics.
At Boost Run, Daniel currently manages the secure and scalable deployment of thousands of GPUs across datacenters for high performance AI/ML workloads.
Daniel's strategic approach ensures an optimal network architecture design, security implementation, and resource optimization for operational efficiency. He drives technological innovation and deploys cutting edge AI/ML capabilities at scale.
His background includes managing mission critical systems, robust data solutions, implementing advanced security measures, and earning an Army Commendation Medal during military service for maintaining complex communications equipment.
Karim brings nearly 20 years of infrastructure and engineering leadership across some of the most performance sensitive environments in technology. His background spans ultra low latency trading networks, managing microwave, millimeter wave, and global fiber infrastructure across four continents, to large scale cloud native SRE, where he led platform reliability and FedRAMP certification for a major SaaS security product, including a full migration to containerized orchestration.
Having served as both CTO and Head of Infrastructure, Karim has operated consistently at the intersection of deep technical execution and organizational leadership, designing and scaling complex infrastructure environments, standardizing incident response, and growing global teams through periods of significant growth and change, including a company acquisition.
In his role as CIO at Boost Run, Karim applies this breadth of experience to drive a cohesive, forward looking technology vision grounded in operational discipline and security first thinking, the hard won instincts of someone who has built and run infrastructure where the cost of downtime is measured in real time.
Our strategic partnerships with industry-leading technology providers are fundamental to delivering scalable, enterprise-grade AI infrastructure solutions. These alliances enable us to leverage proven technologies, streamline deployment processes, and provide our clients with comprehensive, battle-tested solutions that accelerate time-to-market while reducing operational risk and total cost of ownership.
Use this form for product questions, GPU compute availability and pricing, or platform access. Tell us about your workload, configuration, and timeline.