NVIDIA H100 PCIe 80GB – Hopper Tensor Core Data Center GPU
The NVIDIA H100 PCIe 80GB is a high-performance Hopper-generation Tensor Core data-center GPU designed for artificial intelligence, machine learning, high-performance computing (HPC), scientific computing, and accelerated data analytics. It features 80GB HBM2e memory, PCIe Gen5 x16 connectivity, approximately 2TB/s memory bandwidth, and support for Multi-Instance GPU (MIG) technology with up to seven GPU instances.
Description
The NVIDIA H100 PCIe 80GB is a purpose-built accelerator for demanding enterprise AI and high-performance computing environments. Based on the NVIDIA Hopper architecture, the H100 combines fourth-generation Tensor Cores, CUDA acceleration, high-bandwidth HBM2e memory, and PCIe Gen5 connectivity to provide substantial computational throughput for modern AI and HPC workloads.
The PCIe model provides 80GB of HBM2e GPU memory across a 5,120-bit memory interface, with a specified peak memory bandwidth of approximately 2,000 GB/s (2TB/s). This large, high-bandwidth memory subsystem is particularly valuable for large neural-network models, scientific simulations, large-scale data processing, and workloads that require rapid movement of datasets between compute resources and GPU memory.
The GPU provides 14,592 CUDA cores and 456 fourth-generation Tensor Cores. NVIDIA specifies up to 51 TFLOPS FP32, 756 TFLOPS TF32 Tensor Core performance, and 1,513 TFLOPS BF16/FP16 Tensor Core performance with sparsity for the PCIe variant.
Connectivity is provided through a PCI Express Gen5 x16 interface, with up to 128GB/s aggregate PCIe bandwidth. The platform also supports NVIDIA NVLink connectivity for supported multi-GPU configurations, while the H100 PCIe is designed as a dual-slot, air-cooled accelerator suitable for compatible data-center servers.
The H100 PCIe supports Multi-Instance GPU (MIG) technology, allowing the physical GPU to be partitioned into multiple isolated GPU instances. NVIDIA documents configurations of up to seven MIG instances, including profiles with up to 80GB of total framebuffer available to a single instance.
The accelerator also supports SR-IOV, enabling virtualization-oriented deployment scenarios, and NVIDIA documents Linux and Windows driver support for the H100 PCIe platform.
3. Complete Technical Specification
| Specification | Details |
|---|---|
| Manufacturer | NVIDIA |
| Product | H100 Tensor Core GPU |
| Variant | H100 PCIe 80GB |
| Architecture | NVIDIA Hopper |
| GPU Family | GH100 |
| GPU Memory | 80GB |
| Memory Type | HBM2e |
| Memory Interface | 5,120-bit |
| Memory Bandwidth | Up to 2.0TB/s |
| CUDA Cores | 14,592 |
| Tensor Cores | 456, 4th Generation |
| FP64 Performance | Up to 26 TFLOPS |
| FP64 Tensor Core | Up to 51 TFLOPS |
| FP32 Performance | Up to 51 TFLOPS |
| TF32 Tensor Core | Up to 756 TFLOPS* |
| BF16 Tensor Core | Up to 1,513 TFLOPS* |
| FP16 Tensor Core | Up to 1,513 TFLOPS* |
| FP8 Tensor Core | Up to 3,026 TFLOPS* |
| INT8 | Up to 3,026 TOPS* |
| Interface | PCI Express Gen5 x16 |
| PCIe Bandwidth | Up to 128GB/s aggregate |
| Form Factor | PCIe dual-slot |
| Cooling | Air-cooled |
| TDP | Configurable approximately 300–350W |
| Power Connector | One PCIe 16-pin auxiliary power connector |
| L2 Cache | 50MB |
| MIG | Supported, up to 7 instances |
| SR-IOV | Supported |
| NVLink | Supported; up to 600GB/s for PCIe H100 configurations |
| NVDEC | 7 |
| JPEG Decoders | 7 |
| Memory Clock | 1,593MHz |
| Memory Technology | HBM2e |
| PCIe Lane Configuration | Gen5 x16 / Gen5 x8 / Gen4 x16 supported |
| Operating Environment | Data-center / server deployment |
| Primary Workloads | AI, ML, HPC, analytics, scientific computing |
* NVIDIA’s published Tensor Core figures marked with an asterisk are shown with sparsity; actual non-sparse throughput is lower.
4. Applications
The NVIDIA H100 PCIe 80GB is designed for demanding accelerated-computing environments, including:
- AI and machine learning
- Large language model (LLM) training
- Generative AI
- AI inference
- Deep learning
- High-performance computing (HPC)
- Scientific and engineering simulations
- Data analytics
- Computer vision
- Natural language processing
- Recommendation systems
- Financial modeling
- Molecular and pharmaceutical research
- Seismic and geophysical processing
- Digital twins and simulation
- GPU-accelerated databases
- Virtualized GPU infrastructure
- Multi-GPU data-center servers
5. Compatibility
The H100 PCIe 80GB is intended for compatible enterprise servers and data-center systems equipped with PCIe Gen5-capable expansion slots and adequate power and cooling.
NVIDIA identifies the PCIe H100 as a dual-slot, air-cooled PCIe accelerator and lists deployment in partner and NVIDIA-Certified systems supporting configurations from one to eight GPUs.
Before installation, the host server should be checked for:
- PCIe Gen5 x16 or compatible PCIe slot configuration
- Two-slot GPU clearance
- Adequate airflow
- Appropriate auxiliary GPU power connection
- Sufficient power-supply capacity
- BIOS/UEFI support
- NVIDIA H100-compatible drivers
- Server manufacturer’s GPU support list
- Appropriate chassis thermal design
Important: The H100 PCIe 80GB is a data-center accelerator, not a conventional consumer graphics card. It does not target desktop gaming use and is designed primarily for server-based compute workloads.
6. Key Benefits
- 80GB HBM2e for large AI and HPC datasets
- Approximately 2TB/s memory bandwidth
- 14,592 CUDA cores for massively parallel computation
- 456 fourth-generation Tensor Cores
- Advanced Hopper architecture for AI acceleration
- PCIe Gen5 x16 host connectivity
- Up to 128GB/s PCIe bandwidth
- Support for MIG GPU partitioning
- Up to 7 isolated GPU instances
- Support for SR-IOV virtualization
- High-performance Tensor Core acceleration
- Dual-slot air-cooled server design
- Designed for enterprise and data-center environments
- Excellent platform for LLMs, generative AI, HPC and scientific workloads
- Supports scalable multi-GPU configurations
7. SEO Title
NVIDIA H100 PCIe 80GB Tensor Core GPU – 80GB HBM2e PCIe Gen5 AI Accelerator



