CONTAINERIZED B300 AI DATA CENTER PLATFORM
AI Factory
in a Container.
A fully integrated, turnkey hardware and software stack purpose-built for NVIDIA B300 GPU environments. Compact modular footprint, simplified zoning and permitting, and a scalable architecture starting from a single 32-server AI pod.
PLATFORM SPECIFICATIONS
PLATFORM CAPABILITIES
Everything you need.
Nothing you don't.
Minimal on-site requirements — just power, water, network, and a concrete slab. The B300 platform handles the rest: pre-racked servers, pre-configured networking, pre-integrated software stack. Operational from day one.
Rapid Deployment
AI factory in a container. On-site in months, not years — with simplified zoning and permitting. No lengthy construction timelines or complex site preparation.
Turnkey Stack
Complete hardware and software platform pre-integrated for NVIDIA B300 GPU environments. Arrive ready to run — no integration work required on-site.
Modular Footprint
Compact, containerized architecture. Start with one pod, scale horizontally without disruption. Each pod is self-contained and independently operable.
Massive Scalability
Starts at a single 32-server AI pod. Architected to reach thousands of GPUs on the same platform — same management plane, same operational model.
GPU Slicing & Splicing
Granular GPU allocation maximizes utilization and enables true multi-tenant efficiency at the resource layer. Serve multiple workloads simultaneously without waste.
Sovereign Architecture
Integrated compliance-ready design with in-country data residency for regulated and sovereign deployments. Built for governments and regulated industries from day one.
Optimized Workloads
Purpose-built for AI training, inference, HPC, and sovereign cloud. The B300 GPU delivers peak performance for each workload class without compromise.
Minimal On-Site Needs
Requires only power, water, network, and a concrete slab. Everything else arrives in the container — pre-racked, pre-wired, pre-configured.
OPTIMIZED WORKLOADS
Purpose-built for every AI workload.
AI Training
Large-scale model training with distributed GPU clusters. Optimized memory bandwidth and NVLink interconnects for transformer workloads.
Inference Infrastructure
High-throughput, low-latency inference serving. GPU slicing enables concurrent model deployment across a single physical pod.
HPC Workloads
Scientific computing, simulation, and data processing at scale. The B300 architecture handles FP64 and mixed-precision workloads natively.
Sovereign Cloud
Private cloud infrastructure with in-country data residency. Full stack sovereignty — compute, storage, and networking under your jurisdiction.
ON-SITE REQUIREMENTS
Four inputs.
Infinite compute.
The B300 platform is designed for minimal site preparation. No raised floors, no custom cooling infrastructure, no complex electrical work beyond standard utility connections.
DISCUSS DEPLOYMENT →Standard utility connection. Scalable per pod count.
Cooling loop input. Closed-circuit, minimal consumption.
Fiber uplink. Redundant paths recommended for Tier III.
Level pad, standard load-bearing spec. No raised floor.
READY TO DEPLOY
Deploy your AI factory
in under six months.
Tell us your compute requirements, location, and timeline. We'll scope a B300 deployment tailored to your workload and compliance needs.
REQUEST DEPLOYMENT SCOPING →