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.
Cooling and Power Readiness
Rack-level designs incorporate air and liquid cooling readiness for current and next-generation density. Early validation of thermal and power plans reduces deployment risk and costly retrofits.
Management and Control Plane
A centralized control plane standardizes provisioning, configuration, and visibility to simplify operations at scale. This helps maintain validated standards across clusters and sites.
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.
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.
AceleMax® AXG-428AG
4U DP AMD EPYC™ 9005 GPU Server with up to 8 PCIe GPUs.
- NVIDIA MGX™ 4U AI Server, up to 8 x dual-slot GPUs (NVIDIA L40S, H200 NVL, RTX PRO™ 6000 Blackwell Server Edition)
- 2-Socket AMD EPYC™ 9005 Series processors, up to 5GHz
AceleMax® AXG-224IB
2U dual socket Intel® Xeon® 6 6700/6500 series GPU server supporting up to 4 dual-slot PCIe AI GPUs.
- Supports up to 4 x dual-slot PCIe GPU (H200 NVL, L40S GPU, RTX PRO™ 6000 Blackwell Server Edition)
- 2-Socket Intel® Xeon® 6 Processors 6700/6500 series solution
AceleMax® AXG-828U
8U dual socket Intel® Xeon® 6 platform built around NVIDIA HGX B300 for AI training and inference at scale.
- 8U rackmount with dual Intel® Xeon® 6700E/6700P series
- NVIDIA HGX B300 with NVSwitch and 2.3 TB total GPU memory
- 8x OSFP 800 Gbps InfiniBand and advanced system management
AceleMax® AXG-828IB
8U dual processor Intel® Xeon® platform with 8x NVIDIA HGX B200 GPUs for high-density AI.
- 4th/5th Gen Intel® Xeon® Scalable processors
- HGX B200 8-GPU with NVSwitch
AMAX RackScale 32 with NVIDIA™ HGX B300
High-density, rack-scale solution engineered for large-scale enterprise AI workloads
- Supports up to 32x NVIDIA Blackwell Ultra GPUs
- Total FP4 Tensor Core 576 PFLOPS
LiquidMax® RackScale 64
High-Density Liquid-Cooled AI Rack Solution
- Supports up to 64x NVIDIA® Blackwell GPUs
- 8x 4U liquid-cooled compute servers with NVIDIA NVLink™ interconnect