The NVIDIA AI Factory by AMAX is a validated, end-to-end infrastructure blueprint for production AI. It standardizes compute, networking, storage, cooling, and management into modular building blocks so deployments can be delivered consistently and scaled predictably across sites and generations.
Designed for Repeatability and Growth
Standard configurations reduce integration risk and configuration drift, while preserving performance and operational characteristics as environments expand. Capacity can grow in planned waves without redesign, with network, power, and thermal requirements considered up front.
Compute Architecture for AI Workloads
High-density GPU systems are optimized for multi-GPU and multi-node scaling with balanced CPU and memory. Pre-validated configurations speed deployment and help avoid bottlenecks as workloads move into production.
High-Performance Network Fabric
Low-latency, high-bandwidth fabrics are designed and tuned for distributed training and inference. Standardized topology and cabling practices help performance scale consistently as clusters grow and replicate.
Storage Architecture Optimized for AI
High-throughput, low-latency storage tiers support dataset reads, checkpointing, and iterative training. Storage is validated with real AI workloads and scales in step with compute and networking.
Built for Mission-Critical AI
The architecture targets environments that require high performance, high availability, and low integration risk—including healthcare, life sciences, semiconductor design, and industrial AI.
NVIDIA AI Software Platforms
AMAX’s Systems have been fully tested and validated for performance, reliability, and compatibility with the NVIDIA AI software stack including NVIDIA AI Enterprise, NVIDIA Omniverse, and NVIDIA Run:ai, enabling the building and deployment of production-ready agentic AI and physical AI systems anywhere, across clouds, data centers, or at the edge.
NVIDIA AI Enterprise
NVIDIA AI Enterprise is a cloud-native suite of software tools, libraries, and frameworks, including NVIDIA NIM and NeMo microservices, that accelerate and simplify the development, deployment, and scaling of AI applications.
NVIDIA Omniverse
NVIDIA Omniverse is a platform of APIs, SDKs, and services that enable developers to integrate OpenUSD, NVIDIA RTX™ rendering technologies, and generative physical AI into existing software tools and simulation workflows for industrial and robotic use cases.
NVIDIA Run:ai
NVIDIA Run:ai accelerates AI operations with dynamic orchestration across the AI life cycle, maximizing GPU efficiency, scaling workloads, and integrating seamlessly into hybrid AI infrastructure with zero manual effort.
AMAX AI Factory Product Portfolio
AMAX Engineering turns NVIDIA reference designs into production-ready AI Factories through end-to-end system validation across GPU/CPU/memory balance, tuned InfiniBand and Ethernet fabrics, AI-optimized storage I/O, and rack-level power plus liquid-ready thermal design. This is supported by documented bills of materials and repeatable build procedures. The result is deterministic performance and day-one operability, with automation for provisioning, monitoring, and lifecycle upgrades, enabling enterprises to scale from a first cluster to multi-site global capacity with consistent configuration control and confidence.
NVIDIA DGX™ GB300
Liquid-cooled, rack-scale platform with 72 GPUs for large-scale AI reasoning and deployment.
NVIDIA DGX™ GB200
Rack-scale system with Grace Blackwell for unified memory and accelerated AI performance.
NVIDIA DGX™ B300
Blackwell Ultra system built for MGX and enterprise racks, optimized for AI pipelines.
NVIDIA DGX™ B200
Blackwell-powered system for next-gen AI in a standard enterprise form factor.
AMAX RackScale 32 with NVIDIA™ HGX B300
High-density, rack-scale solution engineered for large-scale enterprise AI workloads
LiquidMax® RackScale 64
High-Density Liquid-Cooled AI Rack Solution