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NVIDIA H100 Tensor Core GPU

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NVIDIA H100 Tensor Core GPU

Product Specifications

Description

This breakthrough in accelerated computing is designed to power the most demanding AI, data analytics, and high-performance computing (HPC) workloads. Based on the innovative NVIDIA Hopper architecture, it delivers next-level performance for training and inference of large AI models, enabling researchers and enterprises to achieve unprecedented computational efficiency.

Featuring up to 80 GB of HBM3 memory and 3.35 TB/s memory bandwidth, it’s engineered to accelerate large language models (LLMs), transformer-based networks, deep learning frameworks, and data-intensive HPC simulations. It supports full-stack AI workflows with compatibility across the NVIDIA AI Enterprise ecosystem.

From data centers and cloud infrastructures to research labs and hyperscale AI deployments, this GPU empowers teams to build, scale, and deploy AI models faster while reducing overall operational costs.


Key Features
  • Built on the powerful NVIDIA Hopper GPU architecture
  • Up to 80 GB of ultra-fast HBM3 memory
  • 3.35 terabytes per second (TB/s) of memory bandwidth
  • Enhanced support for Transformer Engine and mixed precision AI compute
  • Fully compatible with NVIDIA AI Enterprise software stack, CUDA, Triton, and TensorRT
Target Applications
  • Training and deployment of large-scale AI models including GPT, BERT, and LLaMA
  • Generative AI model development and inference optimization
  • Scientific computing, financial modeling, and advanced simulations
  • Enterprise-grade cloud AI infrastructure and data center acceleration
Why Choose This GPU for AI and HPC?

This GPU is built for the future of AI. With advanced architectural features, massive bandwidth, and groundbreaking AI performance, it enables businesses and researchers to push the boundaries of what's possible in machine learning and computational science.

Whether you're scaling AI workloads across clusters or optimizing deep learning pipelines, this solution offers unparalleled speed, scalability, and reliability—making it a premier choice for AI-driven innovation and large-scale deployments.

Main Specifications
Brand NVIDIA
Model H100 Tensor Core GPU
Form Factor SXM (H100 SXM), PCIe Dual-Slot Air-Cooled (H100 NVL)
Architecture NVIDIA Hopper
FP64 34 teraFLOPS (SXM), 30 teraFLOPS (NVL)
FP64 Tensor Core 67 teraFLOPS (SXM), 60 teraFLOPS (NVL)
FP32 67 teraFLOPS (SXM), 60 teraFLOPS (NVL)
TF32 Tensor Core* 989 teraFLOPS (SXM), 835 teraFLOPS (NVL)
BFLOAT16 Tensor Core* 1,979 teraFLOPS (SXM), 1,671 teraFLOPS (NVL)
FP16 Tensor Core* 1,979 teraFLOPS (SXM), 1,671 teraFLOPS (NVL)
FP8 Tensor Core* 3,958 teraFLOPS (SXM), 3,341 teraFLOPS (NVL)
INT8 Tensor Core* 3,958 TOPS (SXM), 3,341 TOPS (NVL)
GPU Memory 80 GB (SXM), 94 GB (NVL)
Memory Bandwidth 3.35 TB/s (SXM), 3.9 TB/s (NVL)
Decoders 7 NVDEC + 7 JPEG (both variants)
Max Thermal Design Power (TDP) Up to 700W (SXM), 350–400W (PCIe)
Multi-Instance GPU (MIG) Up to 7 MIGs @10GB (SXM), Up to 7 MIGs @12GB (PCIe)
Interconnect SXM: NVIDIA NVLink 900 GB/s, PCIe Gen5 128 GB/s
NVL: NVLink 600 GB/s, PCIe Gen5 128 GB/s
Server Platforms SXM: NVIDIA HGX H100 & Certified Systems (4–8 GPUs)
NVL: NVIDIA DGX H100, Certified Systems (1–8 GPUs)
Software Support Compatible with NVIDIA AI Enterprise (Add-on Included)
Warranty 5-Year NVIDIA AI Enterprise Subscription Included

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C1300-24T-4X

  • High-density port configuration with 24x 10/100/1000 ports
  • 4x 10 Gigabit SFP+ uplink ports for high-speed connectivity
  • 256 Gbps switching capacity for superior performance
  • Advanced security features for network protection
  • Energy-efficient design for reduced power consumption
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