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NVIDIA H100 Bare Metal Servers

Command the world's standard for AI and high-performance computing starting at $3351/mo. Featuring 80GB of ultra-fast HBM3 VRAM per card, the Hopper-powered H100 delivers order-of-magnitude acceleration for enterprise deep learning. Scale up to massive 8x multi-card arrays paired with extreme multi-core Intel Xeon Platinum, Gold, Silver, and high-core AMD EPYC processors.

Deploy Your Enterprise Hopper Compute Node

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Hopper Architecture

Unprecedented AI Scale.
Unrivaled Throughput.

The NVIDIA H100 Tensor Core GPU marks a massive leap in accelerated computing performance, delivering the architectural innovation required to power modern hyper-scale data engineering and foundation models.

80GB

HBM3 VRAM

Leverage next-generation High Bandwidth Memory to retain colossal model parameters directly inside the GPU memory fabric, reducing inter-node sync latency.

3.35 TB/s

Memory Bandwidth

Break through data delivery limitations. Stream billions of data matrices to the computing cores concurrently without hitting processing starvation walls.

4th Gen

Tensor Cores

Harness the built-in Transformer Engine paired with FP8 precision routines to accelerate AI inference pipelines dramatically compared to previous GPU paradigms.

900 GB/s

NVLink Interconnect

Connect multiple Hopper accelerators into a unified, high-speed logical mega-GPU, transforming massive parallel computing clusters into single systems.

Architected for the Future of
Enterprise Deep Learning

The NVIDIA H100 provides specialized architectural features explicitly optimized to train and run massive AI foundations. By optimizing operations down to the hardware instruction level, it handles deep learning models seamlessly.

  • Intelligent Transformer Engine

    Dynamically switches mathematical weights between FP8 and FP16 modes during massive deep learning procedures, accelerating processing speeds while fully preserving model accuracy.

  • DPX Hardware Instructions

    Accelerates dynamic programming algorithms directly in hardware. This provides massive computational optimization for complex routing, bioinformatics matching, and algorithmic data mapping.

  • Multi-Instance GPU (MIG) Partitioning

    Divide a single H100 hardware footprint into seven isolated hardware instances. Provide dedicated compute environments to independent teams or run multiple inference steps simultaneously.

NVIDIA H100 Data Center GPU
Hopper Enterprise Core

In-Stock & Ready for Global Deployment

Built for Enterprise Scale

Deploy the absolute tier of industrial acceleration across standard-setting computational operations.

Foundation Model Training

Train massive multi-billion parameter foundation setups. The H100 handles complex pre-training and intensive reinforcement loops cleanly across scalable clusters.

High-Throughput Inference

Deliver production-scale text and media outputs instantly. The hardware architecture handles dense runtime requests smoothly with minimum time-to-first-token delay metrics.

High-Performance Computing

Process intense physical data runs. Run hyper-detailed molecular dynamics modeling, reservoir computations, and advanced genomic mapping pipelines at maximum hardware capability.

Scale Up Your Data Center Footprint

Whether running fine-tuning steps or scaling up an enterprise foundation ecosystem, iDatam provides bare metal deployments tailored exactly to your throughput specifications. Deploy massive 2x and 8x H100 configurations seamlessly paired with up to 1TB DDR5 RAM, high-performance NVMe storage arrays, and elite multi-core processing engines.

640GB

Max Cluster VRAM

100Gbps

Network Port Speeds

NVMe/SSD

Enterprise Storage

$3351

Starting Price / Mo

Deploy Globally

Deploy your high-density H100 clusters directly into modern global data center structures optimized for extreme power and cooling requirements.

  • USA (Ogden) Ready
  • Sweden (Stockholm, Falkenberg) Ready
  • Germany (Frankfurt) Ready
  • Netherlands (Amsterdam) Ready
  • Portugal (Sines) Ready
  • Luxembourg Ready

NVIDIA H100 FAQs

Common questions regarding deep enterprise deployments of the Hopper GPU platform.