NVIDIA B300 AI Infrastructure Configurator
Configure your B300 deployment, understand the infrastructure requirement and model the commercial economics before engaging Redwood Syndicate for deployment.
Configure your AI infrastructure.
Change the assumptions below to see how B300 system count translates into GPU capacity, rack requirements, power, compute capacity and indicative operating economics.
Your B300 Infrastructure
Planning-level calculations based on your assumptions.
Technical foundation.
NVIDIA’s published DGX B300 specifications provide the hardware baseline used by this planner.
* NVIDIA’s product page lists 2.1 TB total GPU memory. NVIDIA’s user guide provides a hardware-level 8 × 288 GB description. Product configurations and specifications should be confirmed at procurement.
The B300 is the compute layer.
Redwood evaluates the infrastructure surrounding the compute system to determine whether the proposed deployment can work technically and economically.
Electrical Infrastructure
Power capacity, distribution, redundancy and facility-level requirements.
Thermal Infrastructure
Evaluate rack density and cooling architecture for the proposed deployment.
AI Fabric
High-speed compute networking, storage fabric and external connectivity.
Data Layer
NVMe, data pipelines and storage performance for AI workloads.
Data Centre
Rack space, power, cooling, security and operational environment.
AI Software
Operating system, orchestration and AI software environment.
Managed Infrastructure
Monitoring, support, lifecycle and operational requirements.
Capital Strategy
CAPEX, financing, utilization and commercial deployment economics.
How do you want to deploy B300?
Dedicated Enterprise
Dedicated B300 infrastructure for private, enterprise and mission-critical AI workloads.
GPU Colocation
Deploy B300 infrastructure inside a suitable third-party data-centre environment.
GPU-as-a-Service
Build a commercial AI compute platform and monetize GPU capacity.
Your configuration is only the beginning.
Use the calculator to establish your preliminary infrastructure requirement. Then let Redwood Syndicate help translate it into a deployment strategy.
Build the infrastructure around your AI workload.
Share your requirements and Redwood Syndicate can evaluate the infrastructure, deployment and commercial pathway.
