NVIDIA DGX Systems

Purpose-built AI training systems — “the gold standard for AI infrastructure.”


DGX Systems Lineup

DGX Systems Lineup

System GPUs Key positioning
DGX H100/H200 8× H100/H200 SXM Optimized for AI and all transformer-based workloads
DGX B200 8× B200 SXM Built with NVIDIA Blackwell; from training to inference and all other transformer-based workloads
DGX B300 8× B300 SXM Latest Blackwell Ultra; highest AI throughput per node
DGX GB200 Multiple GB200 Leadership-class training; foundational model training
DGX GB300 NVL72 72× B300 + 36× Grace NVIDIA’s most advanced Superchip AI server rack

DGX H100 — The Gold Standard

DGX H100 System

“The world’s first AI system with the power of a data center.”

Component Specification
GPUs 8× NVIDIA H100 SXM5 80GB Tensor Core GPUs
GPU Interconnect 4× NVSwitch (all-to-all 900 GB/s per GPU)
System Memory 2 TB
Storage 30 TB NVMe SSDs
Network 8× ConnectX-7 400 Gbps InfiniBand NICs
CPUs 2× Intel Xeon Platinum 8480C
AI Performance 32 quadrillion operations per second

DGX H100 Physical Design

DGX H100 Physical Specs

  • Form factor: 10U rack unit
  • Components: Front panel (power, I/O), fan modules, NVLink switches, 8× H100 GPUs, NVMe drives, power supplies, 4× ConnectX-7 network modules, motherboard tray

GB300 NVL72 — Rack-Scale AI

GB300 NVL72

“Built for the age of AI reasoning.”

The GB300 NVL72 is not a single server — it’s an entire rack as one computing unit:

Component Specification
GPUs 72× NVIDIA Blackwell Ultra (B300)
CPUs 36× NVIDIA Grace CPUs
NVLink generation 5th generation
NVLink Bandwidth 130 TB/s total
GPU Memory 20 TB total @ 576 TB/s bandwidth
CPU Memory 14 TB LPDDR5X

Key concept: All 72 GPUs are connected via 5th-gen NVLink — they form a single, unified compute fabric at rack scale. There is no InfiniBand “hop” between nodes within the rack; NVLink connects everything.


RTX PRO Server

RTX PRO Server

“The Most Powerful Blackwell Data Center Platform for AI and Visual Computing”

NVIDIA RTX PRO 6000 Blackwell Server Edition GPU:

Spec Value
CUDA parallel processing cores 24,064
Tensor Cores 752 (5th generation)
RT Cores 188 (4th generation)
Architecture Blackwell
Target AI workloads + professional visualization in data center

The RTX PRO Server is the platform for organizations that need both high-performance AI inference and photorealistic rendering, simulation, or digital twin workloads on the same server infrastructure.


DGX vs NVIDIA-Certified Servers

  DGX Systems NVIDIA-Certified Servers
Built by NVIDIA Third-party OEMs (Dell, HPE, Lenovo, etc.)
Configuration Fixed, NVIDIA-engineered Variable, NVIDIA-validated
Support NVIDIA Support (optional) OEM support
Use case Maximum performance; NVIDIA reference design Flexible deployments, existing vendor relationships
GPU options NVIDIA SXM (highest perf) PCIe or SXM depending on OEM

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Licensed under CC BY 4.0. Notes based on NVIDIA course materials and original field experience. Not affiliated with or endorsed by NVIDIA Corporation. No exam-dump material — all practice questions are original.