Wholesale 100% Brand new High-performance DGX-1/DGX station/DGX-2/DGX A100/DGX STATION A100/DGX H100/NVDGX H100 Super server AI training inference and high-performance computing server

Wholesale 100% Brand new High-performance DGX-1/DGX station/DGX-2/DGX A100/DGX STATION A100/DGX H100/NVDGX H100 Super server AI training inference and high-performance computing server

Here’s a detailed comparison table for NVIDIA DGX Series models,

Feature	DGX-1	DGX Station	DGX-2	DGX A100	DGX Station A100	DGX H100
Release Year	2016	2017	2018	2020	2020	2022
GPU Architecture	Pascal/Volta	Volta	Volta	Ampere (A100)	Ampere (A100)	Hopper (H100)
Number of GPUs	8	4	16	8	4	8
GPU Memory	16 GB per GPU	16 GB per GPU	32 GB per GPU	40 GB/80 GB per GPU	40 GB/80 GB per GPU	80 GB per GPU
GPU Memory Type	GDDR5/X	HBM2	HBM2	HBM2	HBM2	HBM3
Total GPU Memory	128 GB	64 GB	512 GB	640 GB/1,280 GB	320 GB/640 GB	640 GB
System Memory	512 GB DDR4	256 GB DDR4	1.5 TB DDR4	1 TB DDR4	512 GB DDR4	2 TB DDR5
Performance (FP16)	960 TFLOPS	480 TFLOPS	2 PFLOPS	5 PFLOPS	2.5 PFLOPS	32 PFLOPS
Performance (FP8)	Not supported	Not supported	Not supported	Supported (limited)	Supported (limited)	Fully supported
Storage	4 x 1.92 TB SSD (RAID 0)	2 x 1.92 TB SSD	30 TB NVMe	15 TB NVMe	15 TB NVMe	30 TB NVMe
Networking	2 x 10 GbE	1 x 10 GbE	8 x 100 GbE	8 x 200 GbE	2 x 100 GbE	8 x 200 GbE
Power Consumption	3 kW	1.5 kW	10 kW	6.5 kW	1.5 kW	10 kW
Cooling System	Air-cooled	Air-cooled	Air-cooled	Air or Liquid-cooled	Air-cooled	Liquid-cooled
Chassis Type	3U Rackmount	Desktop Tower	6U Rackmount	6U Rackmount	Desktop Tower	6U Rackmount
Weight	~60 kg	~25 kg	~150 kg	~134 kg	~40 kg	~150 kg
Operating System	Ubuntu-based DGX OS	Ubuntu-based DGX OS	Ubuntu-based DGX OS	Ubuntu-based DGX OS	Ubuntu-based DGX OS	Ubuntu-based DGX OS
Software Stack	NVIDIA CUDA, cuDNN, NCCL	NVIDIA CUDA, cuDNN, NCCL	NVIDIA CUDA, cuDNN, NCCL	NVIDIA CUDA, cuDNN, NCCL	NVIDIA CUDA, cuDNN, NCCL	NVIDIA CUDA, cuDNN, NCCL
Virtualization	NVIDIA GPU Cloud (NGC)	NVIDIA GPU Cloud (NGC)	NVIDIA GPU Cloud (NGC)	NVIDIA GPU Cloud (NGC)	NVIDIA GPU Cloud (NGC)	NVIDIA GPU Cloud (NGC)
Price (USD)	$129,000	$49,999	$399,000	$199,000	$99,000–$149,000	~$379,000

DGX-1

The DGX-1 is NVIDIA’s first-generation AI supercomputer in a 3U rackmount form factor. It features 8 GPUs based on the Pascal or Volta architecture, delivering up to 960 TFLOPS of FP16 performance. With 128 GB of HBM2 GPU memory and 512 GB of system memory, it is designed for deep learning, data science, and AI research workloads.

• Use Case: AI training, HPC simulations, and small-to-medium AI projects.
• Storage: 4 x 1.92 TB SSDs in RAID 0 for fast data access.
• Networking: 2 x 10 GbE ports for data transfer.
• Price: $129,000

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DGX Station

The DGX Station is a desktop AI workstation designed for researchers and developers who require supercomputing capabilities without a data center. Equipped with 4 Volta GPUs, it delivers 480 TFLOPS of FP16 performance. Compact and air-cooled, it fits into an office environment.

• Use Case: AI development, prototyping, and smaller-scale model training.
• Storage: 2 x 1.92 TB SSDs.
• Networking: 1 x 10 GbE port.
• Price: $49,999

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DGX-2

The DGX-2 represents a significant leap in performance with 16 Volta GPUs connected via NVIDIA NVSwitch, enabling all GPUs to communicate at their full bandwidth. It delivers up to 2 PFLOPS of FP16 performance, making it a powerhouse for large-scale AI training and inference.

• Use Case: Enterprise AI, HPC workloads, and large-scale AI model training.
• Storage: 30 TB NVMe for extensive data storage.
• Networking: 8 x 100 GbE ports for high-speed interconnects.
• Cooling: Air-cooled design for data center deployment.
• Price: $399,000

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DGX A100

The DGX A100 is the first model to feature NVIDIA’s Ampere architecture GPUs, with 8 A100 GPUs delivering up to 5 PFLOPS of FP16 performance and support for FP8 precision. It provides flexible compute power and scalability, making it ideal for multi-tenancy environments.

• Use Case: AI training, HPC, and inference workloads in modern enterprise settings.
• Storage: 15 TB NVMe for fast data access.
• Networking: 8 x 200 GbE ports for high-speed networking.
• Cooling: Available in both air-cooled and liquid-cooled versions.
• Price: $199,000

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DGX Station A100

The DGX Station A100 is the next-generation desktop AI workstation, offering 4 A100 GPUs with 40 GB or 80 GB of GPU memory per GPU. With 2.5 PFLOPS of FP16 performance, it is perfect for teams without access to data centers but requiring high-performance AI infrastructure.

• Use Case: AI prototyping, research, and small-scale AI development.
• Storage: 15 TB NVMe.
• Networking: 2 x 100 GbE ports for interconnects.
• Cooling: Air-cooled for quiet operation.
• Price: $99,000–$149,000

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DGX H100

The DGX H100 is NVIDIA’s latest flagship AI supercomputer, featuring 8 Hopper H100 GPUs connected via NVLink for maximum bandwidth. It delivers up to 32 PFLOPS of FP8 performance, making it suitable for large-scale AI workloads and next-generation HPC.

• Use Case: Advanced AI training, generative AI, and exascale HPC.
• Storage: 30 TB NVMe.
• Networking: 8 x 200 GbE ports for massive data throughput.
• Cooling: Liquid-cooled for efficiency and thermal management.
• Price: ~$379,000