High-Performance AI Server with 8× NVIDIA HGX H100 SXM5 80GB GPUs, Dual Xeon Platinum 8558 CPUs, 3TB DDR5 Memory, and 100GbE Networking
  • Kategorie produktów:Serwery
  • Numer katalogowy:H100 Server, NVIDIA HGX H100
  • Dostępność:In Stock
  • Stan:Nowy
  • Cechy produktu:Gotowy do wysyłki
  • Minimalne zamówienie:1 szt.
  • Cena katalogowa wynosiła:$521,999.00
  • Twoja cena: $400,000.00 Oszczędzasz $121,999.00
  • Czat teraz Wyślij e-mail

Oddychaj spokojnie. Przyjmujemy zwroty.

Wysyłka: Międzynarodowa wysyłka produktów może wiązać się z procedurami celnymi oraz dodatkowymi opłatami. Zobacz szczegóły

Dostawa: Proszę o dodatkowy czas, jeśli międzynarodowa dostawa podlega procedurze celnej. Zobacz szczegóły

Zwroty: 14 dni na zwroty. Sprzedawca pokrywa koszt zwrotu. Zobacz szczegóły

Darmowa wysyłka. Akceptujemy zamówienia zakupu NET 30 dni. Otrzymaj decyzję w kilka sekund, bez wpływu na Twoją zdolność kredytową.

Jeśli potrzebujesz dużej ilości produktów H100 Server, NVIDIA HGX H100 - zadzwoń do nas na bezpłatny numer WhatsApp: (+86) 151-0113-5020 lub poproś o ofertę na czacie na żywo, a nasz menedżer sprzedaży skontaktuje się z Tobą wkrótce.

Title

High-Performance AI Server with 8× NVIDIA HGX H100 SXM5 80GB GPUs, Dual Xeon Platinum 8558 CPUs, 3TB DDR5 Memory, and 100GbE Networking

Keywords

H100 Server, NVIDIA HGX H100, AI Training Server, High Performance Computing, Dual Xeon Server, DDR5 5600MHz Memory, NVMe Gen5 Storage, InfiniBand ConnectX-7, Data Center Server, Deep Learning System

Description

The H100 Server is a next-generation AI training and HPC platform designed for the most demanding computational workloads. Featuring 8 × NVIDIA HGX H100 SXM5 80GB GPUs, this powerhouse delivers unmatched GPU performance, scalability, and energy efficiency for deep learning, generative AI, and data analytics.

Powered by 2 × Intel Xeon Platinum 8558 processors and 24 × 128 GB DDR5 5600 MHz ECC RDIMMs, the system delivers exceptional parallel compute capability and memory bandwidth. This enables seamless execution of large-scale AI model training, HPC simulations, and massive data analytics tasks.

Storage is configured with 8 × 15.36 TB NVMe Gen5 SSDs for ultra-fast read/write throughput and 2 × 960 GB M.2 drives in RAID 1 for OS and boot resilience. The system ensures reliable performance, low latency, and high IOPS for AI workloads.

Networking is handled through a combination of 1 GbE LOM management connectivity, 1 × 100 GbE Mellanox ConnectX-6 adapter, and 8 × single-port NDR InfiniBand ConnectX-7 cards for high-speed inter-GPU and multi-node communication. The six 2800 W redundant power supplies and iDRAC9 management module ensure continuous uptime, reliability, and easy remote management.

This data center-grade deep learning system is purpose-built for enterprise-level AI infrastructure, autonomous vehicle development, scientific computing, and large-scale inference acceleration. The architecture is optimized for both performance density and energy efficiency, making it the ultimate choice for next-generation AI computing clusters.

Key Features

  • 8 × NVIDIA HGX H100 SXM5 80GB GPUs (NVLink architecture for high GPU bandwidth)
  • 2 × Intel Xeon Platinum 8558 CPUs with up to 48 cores total
  • 24 × 128 GB DDR5 5600 MHz ECC RDIMM modules (3 TB total)
  • 8 × 15.36 TB NVMe Gen5 SSDs for data acceleration
  • 2 × 960 GB M.2 SSDs (RAID 1 for OS and redundancy)
  • 1 × 100 GbE Mellanox ConnectX-6 adapter
  • 8 × single-port NDR InfiniBand ConnectX-7 adapters
  • 6 × 2800 W redundant hot-swap power supplies
  • 1 × 1 GbE LOM management port
  • 1 × iDRAC9 enterprise remote management controller
  • 6 × InfiniBand (IB) interconnect cards for HPC communication

Configuration

ComponentSpecificationQuantity
GPU8 × NVIDIA HGX H100 SXM5 80 GB8
CPUIntel Xeon Platinum 8558 (48 cores total)2
Memory128 GB DDR5 5600 MHz ECC RDIMM24
Boot Drives960 GB M.2 SSD (RAID 1)2
Data Storage15.36 TB NVMe Gen5 SSD8
Networking1 GbE LOM + 100 GbE Mellanox ConnectX-6 + 8 × NDR InfiniBand ConnectX-71
ManagementiDRAC9 Enterprise KVM-over-IP Controller1
Power Supply2800 W Hot-Swap Redundant PSU6
InfiniBand CardsHigh-speed IB Adapters for Node Interconnect6

Compatibility

This system supports popular deep learning frameworks such as TensorFlow, PyTorch, and JAX optimized for the NVIDIA H100 architecture. It is fully compatible with NVIDIA CUDA 12, cuDNN, and NCCL for distributed multi-GPU training.

The server architecture supports both Linux (Ubuntu, Rocky Linux, RHEL) and VMware ESXi environments. Networking components, including InfiniBand ConnectX-7 and Mellanox ConnectX-6, are certified for high-performance cluster and data center integration.

Usage Scenarios

The H100 Server is purpose-built for AI training, HPC simulation, and deep learning inference. It enables large model training such as GPT-class LLMs, diffusion models, and scientific AI simulations.

In cloud environments, it serves as a high-density data center server node for distributed AI clusters, delivering exceptional FLOPs per watt efficiency and GPU scalability.

The system also excels in research institutions and enterprise labs that require multi-node GPU communication over InfiniBand, ensuring low-latency interconnect and high data throughput.

With its combination of GPU power, fast NVMe storage, and robust DDR5 memory architecture, the H100 platform is a top choice for AI cloud providers and data-intensive industries like autonomous driving and biomedical research.

Frequently Asked Questions

  • Q1: What GPU interconnect technology does this server use?
    A1: The server uses NVLink and NVSwitch to interconnect the 8 NVIDIA HGX H100 SXM5 GPUs for high-speed peer-to-peer communication.
  • Q2: Can this system be clustered with multiple H100 servers?
    A2: Yes. With 8 × NDR InfiniBand ConnectX-7 adapters, the server can form large multi-node GPU clusters via InfiniBand fabric.
  • Q3: What operating systems are supported?
    A3: Supports major 64-bit Linux distributions ( Ubuntu 22.04 LTS, RHEL 9, Rocky Linux 9 ), and virtualization via VMware ESXi 8 or NVIDIA Base Command Platform.
  • Q4: What is the total GPU memory available?
    A4: Each GPU offers 80 GB of HBM3 memory, for a total of 640 GB GPU memory in aggregate (8 × 80 GB).
PRODUKTY ZWIĄZANE Z TYM ARTYKUŁEM
Dell PowerEdge R7525 2U Rack Server (16×NVMe Bays, Dual AMD EPYC 7F32, H755N RAID, iDRAC Enterprise, Dual 2400W PSU) Polecane
HUAWEI xFusion FusionServer 2288HV7 | 2U Dual-Socket Rack Server with Intel Xeon Gold 6544Y & High-Capacity DDR5 Polecane
Serwer Dell PowerEdge R760xs PN:321-BJDC | Dwurdzeniowy, 32-rdzeniowy serwer Intel Xeon Gold 6448Y dla centrów danych Polecane
Dell PowerEdge R760 — 24-kieszeniowy serwer stelażowy o dużej gęstości z dwoma procesorami Intel-6544Y i obsługą wielu warstw Polecane
Lenovo WA5480G3 24-kieszeniowy serwer AI/obliczeniowy o dużej gęstości z dwoma 32-rdzeniowymi procesorami i wielowarstwową pamięcią masową NVMe Polecane
Dell PowerEdge R740XD z kontrolerem PERC H740P Mini i dwoma procesorami Intel Xeon Silver 4110 — serwer pamięci masowej o dużej pojemności do montażu w szafie serwerowej Polecane
Serwer stelażowy Dell PowerEdge R750 do skali korporacyjnej z 12 × 32 GB pamięci RDIMM, dwoma dyskami Xeon Silver 4316 i 8 dyskami SSD 1,8 TB Polecane
Odblokuj wysoką wydajność obliczeniową dzięki serwerowi Dell PowerEdge R7625 Dual EPYC Polecane