NVIDIA H100 GPU

The NVIDIA H100 Tensor Core GPU enables an order-of-magnitude leap for large-scale AI and HPC with unprecedented performance, scalability, and security for every data center and includes the NVIDIA AI Enterprise software suite to streamline AI development and deployment. With NVIDIA NVLINK Switch System direct communication between up to 256 GPUs, H100 accelerates exascale workloads with a dedicated Transformer Engine for trillion parameter language models. H100 can be partitioned for small jobs to rightsized Multi-Instance GPU (MIG) partitions. With Hopper Confidential Computing, this scalable compute power can secure sensitive applications on shared data center infrastructure. The inclusion of the NVIDIA AI Enterprise software suite reduces time to development and simplifies the deployment of AI workloads, and makes H100 the most powerful end-to-end AI and HPC data center platform.

  • The World's Most Advanced Chip
  • Transformer Engine: Supercharging Al, Delivering Up to 30X Higher Performances
  • NVLink Switch System
  • Second-generation Multi-Instance GPU (MIG): 7X More Secure Tenants
  • NVIDIA Confidential Computing
  • New DPX Instructions: Solving Exponential Problems with Accelerated Dynamic-Programming

Deep Learning Training

Performance and Scalability

The era of exascale AI has arrived with trillion parameter models now required to take on next generation performance challenges such as conversational AI and deep recommender systems.

Confidential Computing

Secure Data and AI Models in Use

New Confidential Computing capabilities make GPU secure end-to-end without sacrificing performance, making it ideal for ISV solution protection and Federated Learning applications.

Deep Learning Inference

Performance and Scalability

AI today solves a wide array of business challenges using an equally wide array of neural networks. So a great AI inference accelerator has to deliver the highest performance and the versatility to accelerate these networks, in any location from data center to edge that customers choose to deploy them.

High-Performance Computing

Faster Double-Precision Tensor Cores

HPC's importance has never been clearer in the last century than since the onset of the global pandemic. Using supercomputers, scientists have recreated molecular simulations of how COVID infects human respiratory cells and developed vaccines at unprecedented speed.

Data Analytics

Faster Double-Precision Tensor Cores

Data analytics often consumes the majority of the time in AI application development since the scale-out solutions with commodity CPU-only servers get bogged down by lack of a scalable computing performance as large datasets are scattered across multiple servers.

Optimizing Compute Utilization

Mainstream to Multi-node Jobs

IT managers seek to maximize utilization (both peak and average) of their compute resources. They often employ the dynamic reconfiguration of compute to right-size resources for the workload in use.

Choose the right Data Center GPU

Solution Category

DL Training & Data Analytics

DL Inference

HPC/AI

Omniverse
RenderFarms

Virtual Workstation

Virtual Desktop (VDI)

Mainstream Acceleration

Far Edge Acceleration

AI-on-5G

GPU Solution for Compute

H100*

PCIE
SXM
CNX
PCIE
SXM
CNX
PCIE
SXM
CNX

 

 

 

PCIE
CNX

 

CNX

A100

PCIE
SXM
A100X
PCIE
SXM
PCIE
SXM
A100X

 

 

 

PCIE
A100X

 

A100X

A30

 

PCIE
PCIE

 

 

 

PCIE

 

A30X

GPU Solution for Graphics/Compute

L40

 

 

 

 

 

A40

 

 

 

 

 

 

A10

 

 

 

A16

 

 

 

 

 

 

 

GPU Solution for Small Form Factor Compute/Graphics

A2

 

 

 

 

T4

 

 

 

 

 

Price-performance comparison within each solution category (Compute, Graphics and Compute, SFF Compute and Graphics) and workload column.

  • Best
  • Better
  • Good
  • PCie Form Factor
  • CNX-H100 + ConnectX-7 Converged Accelerator
  • SXM Form Factor
  • A100X/A30X - A100 or A30 + BlueField-2 Converged Accelerator
NVIDIA RTX 4000 SFF Ada Generation + HW Sync

NVIDIA A800 40GB Active Graphics Card

SKU: VCNA800-PB

Specifications

NVIDIA A800 40GB Active Graphics Card
SKU VCNA800-PB
GPU Memory 40GB HBM2
Memory Interface 5,120-bit
Memory Bandwidth 1,555.2 GB/s
CUDA Cores 6,912
Tensor Cores 432
Double-Precision Performance 9.7 TFLOPS
Single-Precision Performance 19.5 TFLOPS
Peak Tensor Performance 623.8 TFLOPS
Multi-Instance GPU Up to 7 MIG instances @ 5GB
NVIDIA NVLink Yes
NVLink Bandwidth 400GB/s
Graphics Bus PCIe 4.0 x 16
Max Power Consumption 240W
Thermal Active
Form Factor 4.4” H x 10.5” L, dual slot
Display Capability*
NVIDIA A800 40GB Active Graphics Card
NVIDIA H200 Tensor Core

NVIDIA H200 Tensor Core GPU

Specifications:

Form Factor H200 SXM¹
FP64 34 TFLOPS
FP64 Tensor Core 67 TFLOPS
FP32 67 TFLOPS
TF32 Tensor Core 989 TFLOPS²
BFLOAT16 Tensor Core 1,979 TFLOPS²
FP16 Tensor Core 1,979 TFLOPS²
FP8 Tensor Core 3,958 TFLOPS²
INT8 Tensor Core 3,958 TFLOPS²
GPU Memory 141GB
GPU Memory Bandwidth 4.8TB/s
Decoders 7 NVDEC
7 JPEG
Max Thermal Design Power (TDP) Up to 700W (configurable)
Multi-Instance GPUs Up to 7 MIGs @16.5GB each
Form Factor SXM
Interconnect NVIDIA NVLink®: 900GB/s
PCIe Gen5: 128GB/s
Server Options NVIDIA HGX™ H200 partner and NVIDIA-Certified Systems™ with 4 or 8 GPUs
NVIDIA AI Enterprise Add-on
Nvidia H100 CNX
Nvidia H100 CNX

NVIDIA H100 CNX

Specifications:

H100 CNX
GPU Memory 80GB HBM2e
Memory Bandwidth > 2.0TB/s
MIG instances 7 instances @ 10GB each
3 instances @ 20GB each
2 instances @ 40GB each
Interconnect PCIe Gen5 128GB/s
NVLINK Bridge Two-way
Networking 1x 400Gb/s, 2x 200Gb/s ports, Ethernet or InfiniBand
Form Factor Dual-slot full-height, full length (FHFL)
Max Power 350W
Nvidia H100 CNX
NVIDIA H100

NVIDIA H100

SKU: NVH100TCGPU-KIT

Specifications

Form Factor H100 SXM H100 PCIe
SKU NVH100TCGPU-KIT
FP64 34 teraFLOPS 26 teraFLOPS
FP64 Tensor Core 67 teraFLOPS 51 teraFLOPS
FP32 67 teraFLOPS 51 teraFLOPS
TF32 Tensor Core 989 teraFLOPS* 756teraFLOPS*
BFLOAT16 Tensor Core 1,979 teraFLOPS* 1,513 teraFLOPS*
FP16 Tensor Core 1,979 teraFLOPS* 1,513 teraFLOPS*
FP8 Tensor Core 3,958 teraFLOPS* 3,026 teraFLOPS*
INT8 Tensor Core 3,958 TOPS* 3,026 TOPS*
GPU memory 80GB 80GB
GPU memory bandwidth 3.35TB/s 2TB/s
Decoders 7 NVDEC
7 JPEG
7 NVDEC
7 JPEG
Max thermal design power (TDP) Up to 700W (configurable) 300-350W (configurable)
Multi-Instance GPUs Up to 7 MIGS @ 10GB each
Form factor SXM PCIe
Dual-slot air-cooled
Interconnect NVLink: 900GB/s PCIe Gen5: 128GB/s NVLINK: 600GB/s PCIe Gen5: 128GB/s
Server options NVIDIA HGX H100 Partner and NVIDIA-Certified Systems with 4 or 8 GPUs NVIDIA DGX H100 with 8 GPUs Partner and NVIDIA-Certified Systems with 1–8 GPUs
NVIDIA AI Enterprise Add-on Included
Nvidia H100
Nvidia A100

NVIDIA A100

SKU: NVA100TCGPU-KIT

Specifications

  A100 80GB PCIe A100 80GB SXM
SKU NVA100TCGPU-KIT
FP64 9.7 TFLOPS
FP64 Tensor Core 19.5 TFLOPS
FP32 19.5 TFLOPS
Tensor Float 32 (TF32) 156 TFLOPS | 312 TFLOPS*
BFLOAT16 Tensor Core 312 TFLOPS | 624 TFLOPS*
FP16 Tensor Core 312 TFLOPS | 624 TFLOPS*
INT8 Tensor Core 624 TOPS | 1248 TOPS*
GPU Memory 80GB HBM2e 80GB HBM2e
GPU Memory Bandwidth 1,935 GB/s 2,039 GB/s
Max Thermal Design Power (TDP) 300W 400W ***
Multi-Instance GPU Up to 7 MIGs @ 10GB Up to 7 MIGs @ 10GB
Form Factor PCIe
Dual-slot air-cooled or single-slot liquid-cooled
SXM
Interconnect NVIDIA® NVLink® Bridge
for 2 GPUs: 600 GB/s **
PCIe Gen4: 64 GB/s
NVLink: 600 GB/s
PCIe Gen4: 64 GB/s
Server Options Partner and NVIDIA-Certified Systems™ with 1-8 GPUs NVIDIA HGX™ A100-Partner and NVIDIA-Certified Systems with 4,8, or 16 GPUs NVIDIA DGX™ A100 with 8 GPUs
Nvidia A100
Nvidia A2

NVIDIA A2

SKU: NVA2TCGPU-KIT

Specifications:

Nvidia A2
SKU NVA2TCGPU-KIT
Peak FP32 4.5 TF
TF32 Tensor Core 9 TF | 18 TF¹
BFLOAT16 Tensor Core 18 TF | 36 TF¹
Peak FP16 Tensor Core 18 TF | 36 TF¹
Peak INT8 Tensor Core 36 TOPS | 72 TOPS¹
Peak INT4 Tensor Core 72 TOPS | 144 TOPS¹
RT Cores 10
Media engines 1 video encoder
2 video decoders (includes AV1 decode)
GPU memory 16GB GDDR6
GPU memory bandwidth 200GB/s
Interconnect PCIe Gen4 x8
Form factor 1-slot, low-profile PCIe
Max thermal design power (TDP) 40–60W (configurable)
Virtual GPU (vGPU) software support² NVIDIA Virtual PC (vPC), NVIDIA Virtual Applications (vApps), NVIDIA RTX Virtual Workstation (vWS), NVIDIA AI Enterprise, NVIDIA Virtual Compute Server (vCS)
Nvidia A2
Nvidia A10

NVIDIA A10

SKU: NVA10TCGPU-KIT

Specifications:

Nvidia A10
SKU NVA10TCGPU-KIT
FP32 31.2 teraFLOPS
TF32 Tensor Core 62.5 teraFLOPS | 125 teraFLOPS*
BFLOAT16 Tensor Core 125 teraFLOPS | 250 teraFLOPS*
FP16 Tensor Core 125 teraFLOPS | 250 teraFLOPS*
INT8 Tensor Core 250 TOPS | 500 TOPS*
INT4 Tensor Core 500 TOPS | 1,000 TOPS*
RT Core 72 RT Cores
Encode/decode 1 encoder
2 decoder (+AV1 decode)
GPU memory 24GB GDDR6
GPU memory bandwidth 600GB/s
Interconnect PCIe Gen4 64GB/s
Form factors Single-slot, full-height, full-length (FHFL)
Max thermal design power (TDP) 150W
vGPU software support NVIDIA Virtual PC, NVIDIA Virtual Applications, NVIDIA RTX Virtual
Workstation, NVIDIA Virtual Compute Server, NVIDIA AI Enterprise
Nvidia A10
Nvidia A16

NVIDIA A16

SKU: NVA16TCGPU-KIT

Specifications:

Nvidia A16
SKU NVA16TCGPU-KIT
GPU Memory 4x 16GB GDDR6 with error-correcting code (ECC)
GPU Memory Bandwidth 4x 200 GB/s
Max power consumption 250W
Interconnect PCI Express Gen 4 x16
Form factor Full height, full length (FHFL) dual slot
Thermal Passive
vGPU Software Support NVIDIA Virtual PC (vPC), NVIDIA Virtual Applications (vApps), NVIDIA RTX Virtual Workstation (vWS), NVIDIA Virtual Compute Server (vCS), and NVIDIA AI Enterprise
vGPU Profiles Supported See the Virtual GPU Licensing Guide and See the NVIDIA AI Enterprise Licensing Guide
NVENC | NVDEC 4x | 8x (includes AV1 decode)
Secure and measured boot with hardware root of trust Yes (optional)
NEBS Ready Level 3
Power Connector 8-pin CPU
Nvidia A16
Nvidia A30 Tensor Core

NVIDIA A30 Tensor Core

SKU: NVA30TCGPU-KIT

Specifications:

Nvidia A30 Tensor Core
SKU NVA30TCGPU-KIT
FP64 5.2 teraFLOPS
FP64 Tensor Core 10.3 teraFLOPS
FP32 10.3 teraFLOPS
TF32 Tensor Core 82 teraFLOPS | 165 teraFLOPS*
BFLOAT16 Tensor Core 165 teraFLOPS | 330 teraFLOPS*
FP16 Tensor Core 165 teraFLOPS | 330 teraFLOPS*
INT8 Tensor Core 330 TOPS | 661 TOPS*
INT4 Tensor Core 661 TOPS | 1321 TOPS*
Media engines 1 optical flow accelerator (OFA)
1 JPEG decoder (NVJPEG)
4 video decoders (NVDEC)
GPU memory 24GB HBM2
GPU memory bandwidth 933GB/s
Interconnect PCIe Gen4: 64GB/s
Third-gen NVLINK: 200GB/s**
Form factor Dual-slot, full-height, full-length (FHFL)
Max thermal design power (TDP) 165W
Multi-Instance GPU (MIG) 4 GPU instances @ 6GB each
2 GPU instances @ 12GB each
1 GPU instance @ 24GB
Virtual GPU (vGPU) software support NVIDIA AI Enterprise
NVIDIA Virtual Compute Server
Nvidia A30 Tensor Core
Nvidia A40

NVIDIA A40

SKU: NVA40TCGPU-KIT

Specifications:

Nvidia A40
SKU NVA40TCGPU-KIT
GPU Memory 48 GB GDDR6 with error-correcting code (ECC)
GPU Memory Bandwidth 696 GB/s
Interconnect NVIDIA NVLink 112.5 GB/s (bidirectional)
PCIe Gen4: 64GB/s
NVLink 2-way low profile (2-slot)
Display Ports 3x DisplayPort 1.4*
Max Power Consumption 300 W
Form Factor 4.4" (H) x 10.5" (L) Dual Slot
Thermal Passive
vGPU Software Support NVIDIA Virtual PC, NVIDIA Virtual Applications, NVIDIA RTX Virtual Workstation, NVIDIA Virtual Compute Server, NVIDIA AI Enterprise
vGPU Profiles Supported See the Virtual GPU Licensing Guide
NVENC | NVDEC 1x | 2x (includes AV1 decode)
Secure and Measured Boot with Hardware Root of Trust Yes (optional)
NEBS Ready Level 3
Power Connector 8-pin CPU
Nvidia A40
NVIDIA L40S

NVIDIA L40

SKU: NVL40TCGPU-KIT

Specifications:

Nvidia L40
SKU NVL40TCGPU-KIT
GPU Architecture NVIDIA Ada Lovelace Architecture
GPU Memory 48 GB GDDR6 with ECC
Display Connectors 4 x DP 1.4a
Max Power Consumption 300W
Form Factor 4.4" (H) x 10.5" (L) Dual Slot
Thermal Passive
vGPU Software Support* NVIDIA vPC/vApps, NVIDIA RTX Virtual Workstation (vWS)
NVENC | NVDEC 3x | 3x (Includes AV1 Encode & Decode)
Secure Boot with Root of Trust Yes
NEBS Ready Yes / Level 3
Power Connector 1x PCIe CEM5 16-pin
Nvidia L40
Nvidia A100X

NVIDIA A100X

SKU: NVA100XTCGPUCA-KIT

Specifications:

Nvidia A100X
SKU NVA100XTCGPUCA-KIT
Product NVIDIA A100X Converged Accelerator
Architecture Ampere
Process Size 7nm | TSMC
Transistors 54.2 Billion
Die Size 826 mm2
Peak FP64 9.9 TFLOPS
Peak FP64 Tensor Core 19.1 TFLOPS | Sparsity
Peak FP32 19.9 TFLOPS
TF32 Tensor Core 159 TFLOPS | Sparsity
Peak FP16 Tensor Core 318.5 TFLOPS | Sparsity
Peak INT8 Tensor Core 637 TOPS | Sparsity
Multi-Instance GPU Support 7 MIGs at 10 GB Each
3 MIGS at 20 GB Each
2 MIGs at 40 GB Each
1 MIG at 80 GB
GPU Memory 80 GB HBM2e
Memory Bandwidtd 2039 GB/s
Interconnect PCIe Gen4 (x16 Physical, x8 Electrical) | NVLink Bridge
Networking 2x 100 Gbps ports, Etdernet or InfiniBand
Maximum Power Consumption 300 W
NVLink tdird-Generation | 600 GB/s Bidirectional
Media Engines 1 Optical Flow Accelerator (OFA)
1 JPEG Decoder (NVJPEG)
4 Video Decoders (NVDEC)
Integrated DPU NVIDIA BlueField-2
Implements NVIDIA ConnectX-6 DX Functionality
8 Arm A72 Cores at 2 GHz
Implements PCIe Gen4 Switch
NVIDIA Enterprise Software NVIDIA vCS (Virtual Compute Server)
NVIDIA AI Enterprise
Form Factor 2-Slot, Full Height, Full Lengtd (FHFL)
tdermal Solution Passive
Maximum Power Consumption 300 W
Nvidia A100X
Nvidia A100 Liquid Cooled

NVIDIA A100 Liquid Cooled

SKU: NVA100TCGPU80L-KIT

Specifications:

Nvidia A100 Liquid Cooled
SKU NVA100TCGPU80L-KIT
Product NVIDIA A100 Liquid Cooled PCIe
Architecture Ampere
Process Size 7nm | TSMC
Transistors 54 Billion
Die Size 826 mm2
CUDA Cores 6912
Streaming Multiprocessors 108
Tensor Cores | Gen 3 432
Multi-Instance GPU (MIG) Support Yes, up to seven instances per GPU
FP64 9.7 TFLOPS
Peak FP64 Tensor Core 156 TFLOPS | 312 TFLOPS Sparsity
Peak FP32 19.5 TFLOPS
TF32 Tensor Core 156 TFLOPS | 312 TFLOPS Sparsity
Peak FP16 Tensor Core 312 TFLOPS | 624 TFLOPS Sparsity
Peak INT8 Tensor Core 624 TOPS | 1248 TOPS Sparsity
INT4 Tensor Core 1248 TOPS | 2496 TOPS Sparsity
NVLink 2-way | Standard or Wide Slot Spacing
NVLink Interconnect 600 GB/s Bidirectional
GPU Memory 80 GB HBM2e
Memory Interface 5120-bit
Memory Bandwidtd 1555 GB/s
System Interface PCIe 4.0 x16
tdermal Solution Liquid Cooled
vGPU Support NVIDIA AI Enterprise
Power Connector PCIe 16-pin
Total Board Power 300 W
Nvidia A30X

NVIDIA A30X

SKU: NVA30XTCGPUCA-KIT

Specifications:

NVIDIA A30X
SKU NVA30XTCGPUCA-KIT
Product NVIDIA A30X Converged Accelerator
Architecture Ampere
Process Size 7nm | TSMC
Transistors 54.2 Billion
Die Size 826 mm2
Peak FP64 5.2 TFLOPS
Peak FP64 Tensor Core 10.3 TFLOPS | Sparsity
Peak FP32 10.3 TFLOPS
TF32 Tensor Core 82.6 TFLOPS | Sparsity
Peak FP16 Tensor Core 165 TFLOPS | Sparsity
Peak INT8 Tensor Core 330 TOPS | Sparsity
GPU Memory 24 GB HBM2e
Memory Bandwidtd 1223 GB/s
NVLink tdird-Generation | 200 GB/s Bidirectional
Multi-Instance GPU Support 4 MIGs at 6 GB Each
2 MIGs at 12 GB Each
1 MIG at 24 GB
Media Engines 1 Optical Flow Accelerator (OFA)
1 JPEG Decoder (NVJPEG)
4 Video Decoders (NVDEC)
Interconnect PCIe Gen4 (x16 Physical, x8 Electrical | NVLink Bridge)
Networking 2x 100 Gbps ports, Etdernet or InfiniBand
Integrated DPU NVIDIA BlueField-2
Implements NVIDIA ConnectX-6 DX Functionality
8 Arm A72 Cores at 2 GHz
Implements PCIe Gen4 Switch
NVIDIA Enterprise Software NVIDIA vCS (Virtual Compute Server)
NVIDIA AI Enterprise
Form Factor 2-Slot, Full Height, Full Lengtd (FHFL)
tdermal Solution Passive
Maximum Power Consumption 230 W
Nvidia A30X
NVIDIA L40S

NVIDIA L40S

SKU: 900-2G133-0080-000

Specifications:

NVIDIA L40S
SKU 900-2G133-0080-000
GPU Architecture NVIDIA Ada Lovelace Architecture
GPU Memory 48GB GDDR6 with ECC
Memory Bandwidth PCIe Gen4x 16: 64GB/s bidirectional
CUDA™ Cores 18,176
RT Cores 142
Tensor Cores 568
RT Core Performance 212 TFLOPS
FP32 91.6 TFLOPS
TF32 Tensor Core 366 TFLOPS
BFLOAT16 Tensor Core 366 I 7332 TFLOPS
FP16 Tensor Core 366 I 7332 TFLOPS
FP8 Tensor Core 733 I 14662 TFLOPS
Peak INT8 Tensor 733 I 14662 TOPS
Peak INT4 Tensor 733 I 14662 TOPS
Form Factor 4.4" (H) x 10.5" (L), dual slot
Display Ports 4 x DisplayPort 1.4a
Max Power Consumption 350W
Power Connector 16-pin
Thermal Passive
Virtual GPU (vGPU) Software Support Yes
NVENC I NVDEC 3x l 3x (Includes AV1 Encode and Decode)
Secure Boot with Root of Trust Yes
NEBS Ready Level 3
MIG Support No
Nvidia L40S

Every Deep Learning Framework

mxnet
Mytorch
Spark
TensorFlow