NVIDIA A100 H100 Dedicated Servers | Enterprise AI Infrastructure

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NVIDIA A100 & H100 GPU specifications

Enterprise-grade GPU accelerators engineered for AI training, inference, and scientific computing.

Compare technical specifications to select the optimal configuration for your workload requirements.

NVIDIA A100

The A100 GPU delivers exceptional performance, scalability, and reliability for AI training and inference workloads. Built on Ampere architecture with advanced Tensor Cores for accelerated computing at enterprise scale.

Architecture

Ampere

Video memory

40GB / 80GB HBM2

CUDA cores

6912 pcs.

Max Bandwidth

1.6 TB/s

NVIDIA H100

The H100 GPU represents NVIDIA's latest advancement in AI computing with Hopper architecture. Delivers up to 2x faster performance than A100 for large language model training and scientific simulations.

Architecture

Hopper

Video memory

80GB HBM3

CUDA cores

8448 pcs.

Max Bandwidth

3 TB/s

Enterprise AI infrastructure for demanding workloads

NVIDIA A100 and H100 dedicated servers powered by Ampere and Hopper architectures, optimized for large-scale AI training, LLM inference, and scientific computing applications.

Ampere architecture

Built on 7nm process with 54 billion transistors, NVIDIA Ampere architecture delivers breakthrough performance for AI training and HPC workloads.

High-bandwidth memory

HBM2 and HBM3 memory subsystems provide up to 3 TB/s bandwidth for massive data throughput in training and inference operations.

AI acceleration

Advanced Tensor Cores deliver up to 20x performance improvement over previous generations for deep learning training and inference workloads.

Multi-Instance GPU

Partition each GPU into up to seven isolated instances with dedicated compute, memory, and cache resources for optimal multi-tenant utilization.

NVLink connectivity

High-speed GPU-to-GPU interconnect enables 10x-20x faster data transfers than PCIe for multi-GPU training and HPC clusters.

Enterprise reliability

Data center-grade GPUs with ECC memory, advanced RAS features, and enterprise support for mission-critical production deployments.

FAQ about NVIDIA A100 H100 GPU servers

Common questions about deploying and managing enterprise NVIDIA A100 H100 GPU-accelerated dedicated servers for AI training, inference, and high-performance computing.

What makes NVIDIA A100 and H100 GPUs suitable for enterprise AI workloads?

NVIDIA A100 and H100 GPUs are engineered specifically for enterprise AI, machine learning, and HPC applications. The A100 features Ampere architecture with third-generation Tensor Cores, delivering up to 20x performance over previous generations for mixed-precision AI training. The H100, powered by Hopper architecture, provides 2x faster training performance than A100 with Transformer Engine optimized for large language models, fourth-generation Tensor Cores, and enhanced NVLink connectivity for distributed training across up to 256 GPUs.

What is the deployment timeline for A100 or H100 dedicated servers?

Instant configurations are provisioned within 5 minutes following payment verification. Enterprise dedicated servers include instant OS reload capabilities without support ticket requirements, enabling rapid iteration for development and testing. Network infrastructure is optimized for sustained high-bandwidth workloads with low-latency connectivity to cloud storage and data centers.

How do A100 and H100 GPUs compare in performance and capabilities?

The A100 provides 40GB/80GB HBM2 memory, 6912 CUDA cores, and 1.6 TB/s memory bandwidth with Ampere architecture. The H100 offers 80GB HBM3 memory, 8448 CUDA cores, and 3 TB/s bandwidth with Hopper architecture. H100 delivers 7x higher HPC performance and 2x faster AI training compared to A100. Additional H100 advantages include Transformer Engine for FP8 precision, second-generation Multi-Instance GPU (MIG) with confidential computing, and NVLink Switch System supporting up to 256 GPUs for exascale AI training.

What enterprise connectivity and scalability features are available?

Enterprise GPU servers support advanced NVLink interconnect technology for high-bandwidth GPU-to-GPU communication. A100 features third-generation NVLink providing 10x-20x faster transfers than PCIe Gen4, while H100 supports NVLink Switch System for connecting up to 256 GPUs in exascale configurations. Both platforms support Multi-Instance GPU (MIG) technology, enabling secure partitioning into up to seven isolated GPU instances with dedicated compute, memory, and L2 cache for maximum resource utilization and workload isolation.

Enterprise NVIDIA A100 H100 dedicated servers