top of page
server-parts.eu

server-parts.eu Blog

NVIDIA DGX H100 Server with 8× H100 80GB GPUs - Special Offer for 200K EUR

  • Writer: server-parts.eu server-parts.eu
    server-parts.eu server-parts.eu
  • Dec 3, 2025
  • 2 min read

Updated: Dec 17, 2025

Companies use NVIDIA DGX H100 AI servers for large language models (LLMs), HPC clusters, simulation workloads, and enterprise AI platforms that need maximum GPU density.


NVIDIA DGX H100 Servers for 200K EUR

✔️ 3-Year Warranty – No Risk: Pay Only After Testing


Our offer gives you access to a complete DGX H100 system with all components verified and ready for deployment including shipping and 3-year warranty.


NVIDIA DGX H100 AI server with 8× H100 GPUs for LLM training, HPC clusters, enterprise AI infrastructure, and multi-node GPU scaling-server-parts.eu-refurbished

NVIDIA DGX H100 is a fully integrated, enterprise-grade AI platform with extreme GPU bandwidth, a stable NVIDIA software stack, and ready-to-use performance for LLMs, RAG, HPC, and multi-node scaling in environments from R&D to national labs.


Server Configuration: What’s Included in the Price (NVIDIA DGX H100)


GPU Configuration (NVIDIA DGX H100)

  • 8× NVIDIA H100 80GB SXM5 GPUs

  • 18 NVLinks per GPU→ 900 GB/s bi-directional bandwidth per GPU

  • 4× NVIDIA NVSwitches→ 7.2 TB/s total bi-directional bandwidth


This structure gives very predictable performance, making the DGX H100 one of the best solutions for:

  • LLM training (GPT-class models)

  • Deep reinforcement learning

  • Advanced simulations

  • Multi-GPU parallel training

  • HPC workloads requiring fast GPU communication


CPU and Memory (NVIDIA DGX H100)

  • 2× Intel Xeon Platinum 8480C (Sapphire Rapids)

  • 2 TB DDR5 RAM (32× 64 GB)


The CPU and memory layout supports:

  • Heavy preprocessing

  • Multi-tenant environments

  • Running multiple AI jobs in parallel

  • Large dataset pipelines


Storage Layout (NVIDIA DGX H100)

  • 2× 1.92 TB M.2 NVMe (OS)

  • 8× 3.84 TB U.2 NVMe (Cache / datasets)


This design keeps:

  • OS on a fast mirrored NVMe layer

  • Models and training data on a high-speed NVMe tier


Perfect for I/O-intensive workloads such as:

  • Checkpointing

  • Model loading

  • Vector database indexing

  • Data streaming during training


Networking (NVIDIA DGX H100)

  • 4× OSFP ports → 8× Single-Port ConnectX-7 (up to 400 Gb/s)

  • 2× Dual-Port ConnectX-7 QSFP112 (400 Gb/s)

  • 1× 10 GbE RJ45 (onboard)


The DGX H100 connects directly into:

  • HPC clusters

  • GPU pods

  • InfiniBand fabrics

  • Ethernet AI networks


This makes scaling into multi-node clusters very easy.



What the NVIDIA DGX H100 Is Best For


Companies typically choose the NVIDIA DGX H100 servers for:


1. LLM Training and Fine-Tuning: NVIDIA DGX H100

Strong GPU interconnect makes it one of the best systems for:

  • GPT-style models

  • RAG and embeddings

  • Multimodal AI


2. HPC Clusters: NVIDIA DGX H100

The server fits directly into modern HPC fabrics and supports:

  • MPI workloads

  • Large simulations

  • Scientific computing


3. AI Infrastructure for Enterprises: NVIDIA DGX H100

The DGX H100 is a good choice when you need:

  • Predictable performance

  • A stable software environment

  • A simple way to scale over time


4. Multi-Tenant Use Cases: NVIDIA DGX H100

Good for:

  • Research departments

  • Universities

  • Large internal AI teams



Special Offer: NVIDIA DGX H100 with 8× H100 80GB GPUs


We have several units in stock. They are fully configured, tested, and ready for delivery.


For exact pricing, availability, and shipping time: Click here to request your official offer.



NVIDIA DGX H100 Servers: Special offer for 200K EUR

✔️ 3-Year Warranty – No Risk: Pay Only After Testing





Comments

bottom of page