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GPU Servers
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.
Now on Nasdaq · BRUN
AI infrastructure delivered in minutes
Provision thousands of GPUs in minutes through an intuitive management console and robust API. One platform for GPU compute, CPU nodes, managed Kubernetes, and shared storage. Built for enterprise AI and high performance computing on a secure, certified and scalable fabric.
AI compute servers
Direct access to a broad NVIDIA fleet of GPU servers, deployed in top-tier datacenters and provisioned through the Boost Run platform. Engineer your stack around the optimal CPU and GPU topology, leveraging memory hierarchy curves that extend from production grade tensor accelerators through the cutting edge Blackwell generation and beyond.
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NVIDIA B300
Blackwell Ultra
Frontier model training and large scale inference. Up to 288 GB HBM3e per GPU with 1.5x the memory of B200 for the longest context windows.
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NVIDIA B200
Blackwell
Next generation training and high throughput inference at scale. 192 GB HBM3e and 5th gen NVLink for trillion parameter scale models.
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NVIDIA H200
Hopper, HBM3e
Large model inference and demanding training workloads. 141 GB HBM3e nearly doubles memory bandwidth over H100 for hungry inference servers.
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NVIDIA H100
Hopper
The proven workhorse for production training and HPC. 80 GB HBM3 with 4th gen NVLink, the standard for production transformer workloads.
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NVIDIA A100
Ampere
Mature platform for training, fine tuning, and HPC. 80 GB HBM2e with multi instance GPU partitioning for shared and multi tenant workloads.
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NVIDIA RTX PRO 6000
Blackwell server
Professional visualization and mixed AI workloads. 96 GB GDDR7 in a 600 W server form factor with Multi Instance GPU support.
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NVIDIA L40S
Ada Lovelace
Strong fit for inference, rendering, and graphics workloads. 48 GB GDDR6 ECC with FP8 Transformer Engine for high throughput inference.
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NVIDIA RTX 6000 ADA
Ada Lovelace pro
Design, rendering, and lighter inference workloads. 48 GB GDDR6 ECC in a 300 W professional form factor with hardware accelerated ray tracing.
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NVIDIA GB300
Grace + Blackwell Ultra
Grace CPUs paired with Blackwell Ultra GPUs over high bandwidth NVLink. Rack scale NVL72 systems with 72 GPUs and 36 Grace CPUs as a single domain.
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NVIDIA Vera Rubin
Rubin
The next NVIDIA platform on our roadmap. Vera CPUs paired with Rubin GPUs for the next generation of frontier scale models.
Request for Build
Tailored solutions with our
Tailored solutions with our
Request For Build (RFB) program
Need custom networking fabric, storage performance, dedicated capacity, or a specific geographic footprint? Our Request for Build program puts our engineers to work alongside your team, architecting AI infrastructure tailored to your exact specifications.
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CPU Nodes
Pair your GPU pools with general purpose CPU nodes for orchestration, data preparation, control planes, and stateful services.
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Managed Kubernetes
Run production workloads on Boost Run's managed Kubernetes service. GPU aware scheduling, autoscaling, and integrated networking and storage.
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Shared Network Storage
Provision shared network storage that scales to multiple petabytes. NVMe SSDs, object storage, and parallel filesystems tuned for AI and HPC throughput.
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Networking Fabric
Design east-west and north-south networking around your workload. High bandwidth interconnects, dedicated IPs, and tuned egress paths.
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Hyperscaler Interconnects
Dedicated lines into AWS, Azure, and Google Cloud so your environment plugs directly into the cloud footprint you already operate.
From scoping call to a running AI cluster
Five steps from the first conversation through to a production environment. Engineering is in the room from day one, finance gets a clean line-item invoice, and your team gets dedicated support the moment the cluster ships.
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Discovery
Scoping call with engineering to understand workload, scale targets, and timeline.
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Solution Design
Custom architecture covering hardware selection, network topology, storage sizing, and K8s layout.
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Quote and Contract
Itemized pricing with a delivery schedule aligned to your contract term.
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Build and Commission
Provisioning, networking, and acceptance testing before handover.
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Ongoing Support
Dedicated support, monitoring, maintenance, and capacity planning post launch.
Payment and terms
Priced around your buying cycle
Pricing is custom and scoped to your configuration and term length. Compute, storage, networking, and support each appear as their own line-items on your invoices for transparent and streamlined billing.
- Flexible term length
- Prepayment options
- Net terms available
Console and API
One control surface for your fleet
Manage GPU rentals, Kubernetes clusters, firewall policies, network clusters, and shared storage from the console, or drive everything through our API. Every action 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.
Rentals and Provisioning
Browse pricing, request rentals, and manage active servers. Reboot, reprovision, tag, and cancel through the console or API. Connection details return the moment a rental goes live.
Managed Kubernetes
Spin up Kubernetes clusters on top of your rentals. Cilium, CoreDNS, GPU device plugin, GPU feature discovery, and Spectrum X network operator come preconfigured.
Firewall Policies
Define stateful or stateless inbound rules at the network edge so unwanted traffic is dropped before it reaches your servers. Edits push live within minutes.
Network Clusters
Group rentals into private networks inside the same datacenter. The same fabric carries your east-west traffic and underpins your Kubernetes clusters.
Shared Storage
Mount shared storage that scales to multiple petabytes. NVMe, object, and parallel filesystems sit alongside your compute, attached over the same private fabric.
API and Automation
Authenticate with an API key and drive everything from your tool of choice. SSH keys deploy automatically and org level access controls keep teams scoped.
Trust 
Compliance and security at the operator level
Boost Run maintains these certifications directly. Data center facilities we partner with uphold equivalent or stronger controls. Audit reports and evidence are available in the trust center.
Boost Run leadership
Boost Run brings together engineers, software developers, financial mathematicians, operators, AI data pipeline architects, and large scale infrastructure veterans. Decades of combined expertise honed on complex problems and innovative solutions.
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.
Erik 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.
Some of our trusted partners
Boost Run partners with leading Original Equipment Manufacturers (OEMs), data-center operators, networking specialists, and software builders that define industry benchmarks. Together, we deliver end-to-end secure AI clusters that meet our customers' regulatory and compliance requirements, provisioned on state-of-the-art systems from the moment they reach general availability.
Contact
Tell us about your AI infrastructure needs
Product questions, GPU compute availability and pricing, or platform access. Tell us about your workload, configuration, and timeline. Our engineering team responds within one business day.