Line Card

NVIDIA Data Center Platform
Accelerate every workload.

Rapid developments and continuous breakthroughs in AI are fuelingtransformative change, spanning all industries and revolutionizing
the workflows of scientists, engineers, creators, and more. On topof the demand for accelerated computing to power traditional
AI applications—such as machine learning, deep learning, natural
language processing, and computer vision—a new use case has
emerged that’s unlocking a frontier of opportunities—generative AI.
The NVIDIA data center platform is the world’s leading accelerated
computing and generative AI solution, deployed by the largest
supercomputing centers and enterprises. It enables breakthroughperformance with fewer, more powerful servers, driving fastertime to insights, while saving money.

The platform accelerates a broad array of workloads, fromgenerative AI training and inference to scientific computing andvirtual desktop infrastructure (VDI) applications, with a diverse
range of GPUs, from the highest performing to entry level, allpowered by a single unified architecture. For optimal performance,
it’s essential to identify the ideal GPU for a specific workload.
Use this as a guide to those workloads and the corresponding
NVIDIA GPUs that deliver the best results.

NVIDIA Data Center Platform | Linecard | 1

GPU Portfolio: NVIDIA Hopper™ and Ada Lovelace Architectures​

Solution Category

GPUNetworking​GH200

QTM2

SPCX

NVIDIA HGX™
H200

QTM2

SPCX

HGX H100

QTM2

SPCX

H100 NVL

QTM2

SPCX

Graphics
and Compute

L40S

QTM2

SPCX

Small Form Factor(SFF) Computeand Graphics

L4​

Training andData Analytics

Inference

HPC/AINVIDIA
VirtualOmniverse™ /Workstations
Render Farms

VirtualDesktops(VDI)

AI Video

Far-Edge
Acceleration

ComputeSPC3Price-performance comparison relative acrosseach entire workload column. This chart should
be used in conjunction with measured data fortargeted workloads.

BestGood

QTM2NVIDIA Quantum-2 InfiniBand switch plus
ConnectX®-7 NICs and/or NVIDIA® BlueField®-3 DPUs

SPC3

NVIDIA Spectrum™-3 Ethernet switch plus BlueField-2 DPUsor ConnectX-6/6 Dx NICs

SPCXSpectrum SN5600 Ethernet switch plus BlueField-3
SuperNICs

NVIDIA Data Center Platform | Linecard | 2

NVIDIA Inference Portfolio

Natural Language Processing (NLP) / Large Language Models (LLMs)
GPU

Up to 5 Billion (B)Parameters

6B–65B
Parameters

66B–175B
Parameters

Over 175B
Parameters

Image/Video
Generative AI

Recommender
Systems

Graph/Vector
Database

ComputerVision

AI Video

GH200
HGX H200(8-way)
HGX H100(8-way)
H100 NVL

L40S

L4Price-performance comparison relative acrosseach entire workload column. This chart should
be used in conjunction with measured data fortargeted workloads.

BestGood

NVIDIA Data Center Platform | Linecard | 3

NVIDIA Training Portfolio

NLP/LLMGPU

Up to 5B
Parameters

6B–65B
Parameters

66B–175B
Parameters

GH200
HGX H200/H100(8-way)
H100 NVL

L40SPrice-performance comparison relative acrosseach entire workload column. This chart should
be used in conjunction with measured data fortargeted workloads.

BestGoodTo learn more about NVIDIA data center GPUs, visit
www.nvidia.com/data-center-gpus© 2024 NVIDIA Corporation and affiliates. All rights reserved. NVIDIA, the NVIDIA logo, BlueField, ConnectX,HGX, Hopper, Omniverse, and Spectrum are trademarks and/or registered trademarks of NVIDIA Corporationand affiliates in the U.S. and other countries. Other company and product names may be trademarks of therespective owners with which they are associated. 3267213. May24

Over 175B
Parameters

Image/Video
Generative AI

Recommender
Systems

Graph/Vector
Database