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GTC 2022 Keynote
GTC 2022 Keynote
3M
Developers
10,000
Startups
2,700
Accelerated Apps
450
SDKs and Models
8M
CUDA Downloads
MILLION-X
1980 1990 2000 2010 2020
Single-threaded perf
1.5X per year
1.1X per year
102
103
104
105
106
107
109
108
101
MACHINE
LEARNING
SCALE
UP & OUT
ACCELERATED
COMPUTING
FourCastNet
MILLION-X
1980 1990 2000 2010 2020
Single-threaded perf
1.5X per year
1.1X per year
102
103
104
105
106
107
109
108
101
MACHINE
LEARNING
SCALE
UP & OUT
ACCELERATED
COMPUTING
GTC 2022 Keynote
HARDWARE
SYSTEM
SOFTWARE
PLATFORM
APPLICATION
FRAMEWORKS
DGX HGX EGX OVX AGX
RTX SUPER
POD
DOCA BASE
CMD
FLEET
CMD
AERIAL
UCF MAG
CUDA-X PHYSX
RTX
SOC
SWITCH
NIC
DPU
CPU
GPU
NVIDIA HPC NVIDIA AI NVIDIA OMNIVERSE
TRANSFORMERS OPEN SELF-SUPERVISED LEARNING
Computational Requirements for Training Transformers
AlexNet
VGG-19
Seq2Seq
Resnet
InceptionV3
ResNeXt
ELMo
Wav2Vec 2.0
Transformer
GPT-1
BERT Large
GPT-2
XLNet
Megatron
GPT-3
Megatron-Turing
NLG 530B
100
1,000
10,000
100,000
1,000,000
10,000,000
100,000,000
1,000,000,000
10,000,000,000
2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022
Training
Compute
(petaFLOPS)
All AI Models Excluding Transformers: 8x / 2yrs
Transformer AI Models: 275x / 2yrs
Transformer
AI ADVANCING AT THE SPEED OF LIGHT
SUPERCOMPUTER-SCALE
TRANSFORMER MODELS
Megatron 530B
APPLIED DISTRIBUTED
REINFORCEMENT LEARNING
PrefixRL
PHYSICS-ML
Seismic Risk Assessment
NEURAL GRAPHICS
Neural Radiance Fields
SELF-SUPERVISED LEARNING
DiscoBox
GENERATIVE MODELS
De-Noising Diffusion Models
GTC 2022 Keynote
RAPIDS TensorRT
TRITON FLARE
DALI cuDNN TAO
NVIDIA AI
Hyperscale
Scheduler
Model
Compilers
HTTP
gRPC
TRITON
Open-Source Hyperscale Inference Server
TRITON
Open-Source Hyperscale Inference Server
25,000
Customers
1.3M+
Downloads
Riva ASR
Riva TTS Your NLP Model
RIVA 2.0
SDK for Speech AI
RIVA 2.0
SDK for Speech AI
MAXINE
SDK for AI Video Conferencing
Enhanced AV
Input AV
Eye Contact
Human Pose
Estimation
Audio
De-Artifacting
Video Super
Resolution
Omniverse
Avatar
Audio Super
Resolution
Multilingual
Translation
MAXINE
SDK for AI Video Conferencing
GTC 2022 Keynote
Retrieval Filtering Scoring Ordering
MERLIN 1.0
AI Framework for Hyperscale Recommender Systems
MERLIN 1.0
AI Framework for Hyperscale Recommender Systems
Megatron 530B
Fine-Tuned
Megatron 530B
Customer’s Data
Automated Data
Curation
Distributed
Training
NEMO MEGATRON
AI Framework for Training Large Language Models
NEMO MEGATRON
AI Framework for Training Large Language Models
ANNOUNCING NVIDIA AI ACCELERATED PROGRAM
DIGITAL BIOLOGY REVOLUTION
Oxford Nanopore
Gene Sequencer AI Basecalling RoseTTAFold
DNA Sequence Protein 3D Structure
CTCGCGTTGATG
TGCCGCGTTGAT
AGCGCTGTCATT
ATGCTTAGATCG
GTC 2022 Keynote
INTRODUCING NVIDIA H100 Engine for the World’s AI Infrastructure
80 Billion Transistors
4.9 TB/s Bandwidth
NVIDIA H100 TSMC 4N Process
2ND GENERATION
MULTI-INSTANCE GPU
7X Secure Tenants
CONFIDENTIAL
COMPUTING
Secure Data and AI Models In-Use
WORLD’S MOST
ADVANCED CHIP
80 Billion Transistors
TRANSFORMER
ENGINE
6X Transformer Performance
4TH GENERATION
NVLINK
7X PCIe Gen5
NVIDIA H100
FP16
TF32
FP64/FP32
3X
3X
3X
FP8 6X
4,000 TFLOPS
2,000 TFLOPS
1,000 TFLOPS
60 TFLOPS
Adaptive Range
Statistics 16b
8b
TRANSFORMER ENGINE
Dynamic Mixed-Precision Processing
GPU
GPU Mem
GPU
GPU Mem
GPU
GPU Mem
MULTI-INSTANCE GPU ISOLATION
Multiple Secured Tenants on One Hopper GPU
NVIDIA H100
GPU
CPU
GPU
Full
Access
Hypervisor
NVIDIA Driver
Legacy VM
Unencrypted
Transfers
Host OS
CC Off
HOPPER CONFIDENTIAL COMPUTING
Secure Data and AI Models In-Use
Full VM Isolation with Strong Hardware-Based Security
CC On
CPU
GPU
NVIDIA Driver
Confidential VM
Hypervisor
Host OS
NVIDIA H100
GPU
Encrypted
Transfers
No Read or
Write Access
HOPPER CONFIDENTIAL COMPUTING
Secure Data and AI Models In-Use
Cloud
Deployment
Edge
Deployment
Co-Location
Deployment
Air-Gapped
Deployment
On-Prem
Deployment
Proprietary
AI Model
HOPPER CONFIDENTIAL COMPUTING
Secure Deployment of AI Models
DPX
INSTRUCTIONS
7X Dynamic Programming Performance
2ND GENERATION
MULTI-INSTANCE GPU
7X Secure Tenants
CONFIDENTIAL
COMPUTING
Secure Data and AI Models In-Use
WORLD’S MOST
ADVANCED CHIP
80 Billion Transistors
TRANSFORMER
ENGINE
6X Transformer Performance
4TH GENERATION
NVLINK
7X PCIe Gen5
NEW DPX INSTRUCTIONS
40X Speedup for Dynamic Programming
Projected performance subject to change | Benchmark: Floyd-Warshall Algorithm for finding shortest path in a 10k nodes graph | GPU node:
4x NVIDIA H100 | CPU node: Dual-socket Intel Xeon Platinum 8362
FP16
TF32
FP64/FP32
3X
3X
3X
FP8 6X
4,000 TFLOPS
2,000 TFLOPS
1,000 TFLOPS
60 TFLOPS
NVIDIA H100
F8, FP16, TF32 use sparsity. Speedups compared to prior generation.
FP16
FP64
In-Network Compute
3X
3X
∞
FP8 6X
32,000 TFLOPS
16,000 TFLOPS
480 TFLOPS
3.6 TFLOPS
Bisection Bandwidth 1.5X
3.6 TB/s
INTRODUCING HGX H100
F8 and FP16 use sparsity. Speedups compared to prior generation.
400G GPUDirect Throughput
400G Crypto Acceleration
405 Million/sec Message Rate
8 Billion Transistors TSMC 7
CONNECTX-7
32 PFLOPS of AI Performance
640 GB of HBM3 Memory
24 TB/s of Memory Bandwidth
8 H100 GPUs | 640 Billion Transistors
INTRODUCING
DGX H100
AI performance is sparse FP8.
DGX POD WITH
NVLINK SWITCH
20.5 TB of Total HBM3 Memory
768 TB/s of Memory Bandwidth
20 TB of HBM3 Memory
192 TFLOPS of SHARP In-Network Compute
70 TB/s of Bisection Bandwidth
15X
11X
1 EFLOPS of AI Performance 6X
DGX POD WITH
NVIDIA H100
AI performance is sparse FP8. X-factors compared to prior generation.
3X
2X
QUANTUM-2
INFINIBAND
32X
More AI Acceleration Engines
Higher Switch Throughput
SHARP In-Network Computing
57 Billion Transistors
FP16
FP64
In-Network Compute
3X
3X
36X
6X
9 EFLOPS
275 PFLOPS
3.7 PFLOPS
Bisection Bandwidth 2X
230 TB/s
NVIDIA EOS
FP8
18 DGX PODS
18 EFLOPS
F8 and FP16 use sparsity. Speedups compared to prior generation.
30X
20X
16X
1 Sec
1.5 Sec
2 Sec
LATENCY
#GPUs
ORDER OF MAGNITUDE LEAP IN PERFORMANCE
#GPUs
H100
A100
H100
A100
4000 8000
10000 20000
5 days
19 hrs
7days
20 hrs
128 128
3.5X
6.3X 9X
6X
30X THROUGHPUT AT 1 SECOND RESPONSE
Inference Throughput
FROM 7 DAYS TO 20 HOURS | 9X FASTER
Training Throughput
FROM 5 DAYS TO 19 HOURS | 6X FASTER
Training Throughput
GPT-3 (175B) Mixture of Experts (395B) Megatron 530B Chatbot
Projected performance subject to change.
Training GPT-3 on 300B token dataset | Training Mixture of Experts (MoE) Transformer Switch-XXL variant with 395B parameters on 1T token dataset
Inference on Megatron 530B parameter model based chatbot for input sequence length = 128, output sequence length = 20 | A100 cluster: HDR IB network | H100 cluster: NVLink Network, NDR IB
ConnectX-7
GPU
Memory
Traditional Server
CPU
Gen-4
DIRECT GPU CONNECTION TO NETWORK
Optimized for Accelerated Computing
ConnectX-7
GPU
CPU
Memory
Gen-4
DIRECT GPU CONNECTION TO NETWORK
Converged H100 and CX-7 SmartNIC
7 Multi-GPU Instances
PCIe Gen5
ANNOUNCING
H100 CNX
SYSTEM PROVIDERS
CLOUD PROVIDERS
Mainstream Servers to DGX to DGX SuperPOD
NVIDIA H100
AT EVERY SCALE
Densest NVIDIA Accelerated Computing System
New NVLink Chip-to-Chip Coherent Inference
900 GB/s
Grace Hopper Superchip
ANNOUNCING
NVIDIA GRACE HOPPER
ANNOUNCING
GRACE CPU SUPERCHIP
144 CPU Cores
1 TB/s LPDDR5X with ECC
Superchips Connected by NVLink C2C
396MB On-Chip Cache
SPECrate®2017_int_base Over 740 (est.)
NVIDIA NVLINK CHIP-TO-CHIP
NVIDIA NVLINK CHIP-TO-CHIP
NVLINK C2C OFFERS MULTITUDE OF SYSTEM ARCHITECTURES
Grace CX7 CX7
Grace-Hopper CX7
Grace-2xHopper CX7
2x Hopper
Grace
Grace
CX7
4x Hopper
Grace
8x Hopper CX7
NVLINK OPENS A WORLD OF SEMI-CUSTOM CHIPS AND SYSTEMS
CPU
CUSTOMER IP
GPU
DPU
SOC
NIC
ETL ML Graph Viz
RAPIDS
Open-Source Libraries for GPU-Accelerated Data Science
RAPIDS-ACCELERATED APACHE SPARK
Plug-Ins to Accelerate Large-Scale Data Analytics
CUOPT
AI-Accelerated Solvers for Route Optimization
DGL CONTAINER
Accelerates GNN Workflows
Input Graph Deep Neural Network
A
B
C
G
D
A
C
F
E
B
A
A
A
A
D
B
C
E
F
G
MORPHEUS
AI Framework for Cybersecurity
CUQUANTUM
SDK for Accelerating Quantum Circuit Simulations
Channel Mapping Channel Estimation Modulation Forward Error Connection
Time-Synchronized Front Haul
AERIAL
SDK for CUDA-Accelerated Software-Defined 5G Radio
Transmitter 6G Channel Receiver
SIONNA
SDK for 6G Link-Level Simulations
MODULUS
AI Framework for Physics ML
AI Label Validate
AutoML
Training
Self-Supervised
Learning
MONAI
AI Framework for Medical Imaging
FLARE
SDK for Federated Learning
LEADERS IN EVERY INDUSTRY ACCELERATED BY NVIDIA
NEW WAVE OF INDUSTRIAL HPC ACCELERATION
Ansys
Ansys Fluent (beta)
Altair
Altair CFD
Ansys
Ansys Fluent (beta)
Siemens
Simcenter STAR-CCM+
Synopsys
PrimeSim
300
Other ISV Apps
+
Path Tracing
MDL
Physics
AI
Robot Gym
Robot CAD
Digital Human Training
Factory Digital Twin
Factory Planning
Factory CAD
OMNIVERSE DIGITAL TWINS FOR THE NEXT WAVE OF AI
GTC 2022 Keynote
OMNIVERSE RUNS ON RTX EVERYWHERE
3 NVIDIA ConnectX-6 200Gbps NICs
2 Intel Ice Lake 8362 CPUs
1 TB System Memory and 16 TB NVMe Storage
8 NVIDIA A40 GPUs
NVIDIA OVX SERVER
Precision Timing Support for Synchronization
RDMA for Lowest Latency
Spectrum-3 200Gbps Fabric
NVIDIA OVX
SUPERPOD
NVIDIA LAUNCHPAD
Silicon Valley
Singapore
Paris
Washington, D.C.
Dallas
Amsterdam
Frankfurt
London
Tokyo
128 Ports of 400GbE
4X Higher Switching Throughput
40% Network Power Savings
SPECTRUM-4 400G
ETHERNET SWITCH
100 Billion Transistors – TSMC 4N Process
51.2T Bandwidth | 12.8T Line Rate Crypto | 100G SerDes
OMNIVERSE
SYSTEMS INTEGRATORS
DIGITAL TWIN & ROBOTICS DESIGN & CONTENT CREATION
ASSET & MATERIAL LIBRARIES
RENDERING
82
Connections
150k
Downloads
106k
Unique Users
SENSOR MODELS
ANNOUNCING LUMENRT FOR NVIDIA OMNIVERSE — POWERED BY BENTLEY ITWIN®
Courtesy of Bentley Systems, Hatch, and ITER
NEW IN OMNIVERSE
CAD IMPORTERS DEEPSEARCH
OMNIGRAPH, BEHAVIOR, ANIMATION AVATAR
REPLICATOR
DEVELOPER TOOLS
GTC 2022 Keynote
NVIDIA OMNIVERSE
CUDA-X PHYSX
RTX NVIDIA AI
AI
MODEL
GROUND TRUTH
DATA
SIM
DIGITAL TWIN
REAL
PHYSICAL WORLD
DEEPMAP
NVIDIA
DRIVE
OMNIVERSE
on OVX
DRIVE AV
on ORIN
NVIDIA AI on DGX
GTC 2022 Keynote
Dual Atlan AV SOC Computer
ANNOUNCING DRIVE HYPERION 9 OPEN REFERENCE AV PLATFORM
GTC 2022 Keynote
NVIDIA POWERING AV REVOLUTION
R-Auto
OEM | NEV | TRUCKING | ROBOTAXI
ANNOUNCING NEW EVS POWERED BY NVIDIA DRIVE ORIN
NVIDIA
CLARA HOLOSCAN
NVIDIA AI on DGX
MONAI on EGX
OMNIVERSE
on OVX
HOLOSCAN
on MGX
LIGHTSHEET MICROSCOPE
SENSOR
PROCESSING
GPUDirect
SENSOR
PROCESSING
GPUDirect
DECONVOLUTION
DESKEW
CUDA
DECONVOLUTION
DESKEW
CUDA
STITCH
CUDA
3D VOLUMETRIC
RENDERING
IndeX
3D UNET
SEGMENTATION
Triton
GTC 2022 Keynote
ANNOUNCING NVIDIA CLARA HOLOSCAN MGX MEDICAL-GRADE PLATFORM
Early Access Q1 2023
NVIDIA CLARA HOLOSCAN POWERING ROBOTIC MEDICAL DEVICES REVOLUTION
NVIDIA ISAAC POWERING THE ROBOTICS REVOLUTION
NVIDIA
ISAAC
OMNIVERSE
on OVX
DEEPMAP on NOVA
ISAAC
on NOVA
NVIDIA AI on DGX
NVIDIA
METROPOLIS
OMNIVERSE
on OVX
OMNIVERSE on OVX
METROPOLIS
on EGX
NVIDIA AI on DGX
GTC 2022 Keynote
Jetson AGX Orin
ISAAC NOVA REFERENCE AMR ROBOT SYSTEM
GTC 2022 Keynote
GTC 2022 Keynote
ANNOUNCING NVIDIA OMNIVERSE CLOUD — ONE-CLICK DESIGN COLLABORATION
GTC 2022 Keynote
Path Tracing
MDL
Physics
AI
Project Architect
AI Assistant
Omniverse Cloud
Designer
Lead Designer
ANNOUNCING NVIDIA OMNIVERSE CLOUD — ONE-CLICK DESIGN COLLABORATION
HARDWARE
SYSTEM
SOFTWARE
PLATFORM
APPLICATION
FRAMEWORKS
DGX HGX EGX OVX AGX
RTX SUPER
POD
DOCA BASE
CMD
FLEET
CMD
AERIAL
UCF MAG
CUDA-X PHYSX
RTX
SOC
SWITCH
NIC
DPU
CPU
GPU
NVIDIA HPC NVIDIA AI NVIDIA OMNIVERSE
GTC 2022 Keynote

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