NVIDIA · conference-presentation
NVIDIA | Investor Day Presentation Deck | 97 slides
97 pages · 5 arc beats · 2 loops
NVIDIA | Investor Day Presentation Deck | 97 slides
NVIDIA · 2020-05 arc beats above · slides in the middle · loops below · scroll → 2 LOOPS
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Deck intelligence map
5 coverage by narrative range · generated from this deck JSON
Narrative range 28 total
Metadata
Components
Metrics
Tools
Frameworks
Beats
Loops
Setup 6 slides 100% 6/6 slides 100% 6/6 slides · 15 hits — 0/6 slides
50% 3/6 slides 33.3% 2/6 slides 100% 6/6 slides — 0/6 slides
Problem Statement 4 slides 100% 4/4 slides 100% 4/4 slides · 17 hits — 0/4 slides
25% 1/4 slides 25% 1/4 slides 100% 4/4 slides — 0/4 slides
Propose Solution 12 slides 100% 12/12 slides 100% 12/12 slides · 55 hits — 0/12 slides
50% 6/12 slides 58.3% 7/12 slides 100% 12/12 slides — 0/12 slides
Before-After 3 slides 100% 3/3 slides 100% 3/3 slides · 11 hits — 0/3 slides
— 0/3 slides
33.3% 1/3 slides 100% 3/3 slides — 0/3 slides
Thesis Headline 3 slides 100% 3/3 slides 100% 3/3 slides · 14 hits — 0/3 slides
33.3% 1/3 slides · 2 hits — 0/3 slides
100% 3/3 slides — 0/3 slides
Slide inventory
97 every slide · same image gating as the playbook
02
The slide uses a central text overlay on a collage of diverse frontline workers.summarize
Open slide detailBeat · Setup
03
The slide uses a horizontal timeline-like structure at the bottom to categorize the applications into Containment, Mitigation, Treatment, and Tracking & Monitorillustrate_case
Open slide detailBeat · Setup
04
The slide uses a 3D product display layout to associate specific hardware platforms with various industry use cases (robotics, autonomous driving, etc.).establish_context
Open slide detailBeat · Setup
05
This appears to be a transition or title slide background with no text content.filler
Open slide detailBeat · Setup
08
The slide uses a black background with reflections of the logos at the bottom.transition
09
The slide combines a stack diagram of software layers with a bar chart showing developer growth over time.summarize
10
The slide features a photo of Jensen Huang holding an RTX card on stage.cite_precedent
11
The diagram shows a pipeline: Ray Tracing -> Deep Learning (Neural Network) -> Upscaled Output.present_framework
12
The diagram shows a neural network training process involving a supercomputer.present_solution
13
The diagram shows a neural network processing ray-traced inputs to produce a final image, facilitated by NVIDIA drivers and NGX technology.present_solution
15
The slide features the Unreal Engine logo in the bottom left and a green callout box in the bottom right indicating 'Native 720p'.filler
16
The slide features the Unreal Engine logo and a green NVIDIA DLSS 1.0 callout box.other
17
The slide features the Unreal Engine logo and an NVIDIA DLSS 2.0 callout box.other
20
The slide contains the Unreal Engine logo in the bottom left and a 'Native 540p' resolution badge in the bottom right.filler
21
The slide features the Unreal Engine logo and a green NVIDIA DLSS 2.0 callout box indicating an upscaling resolution from 540p to 1080p.other
22
The slide uses a background image of a Minecraft scene to demonstrate the visual quality alongside the performance metric.present_solution
Open slide detailBeat · Before-After
23
The slide uses a dark-to-light gradient to emphasize the visual quality of the game screenshot on the right.illustrate_case
Open slide detailBeat · Before-After
24
This image appears to be a decorative or atmospheric slide, likely used as a transition or background.filler
Open slide detailBeat · Before-After
25
The slide uses a visual metaphor of a globe connected to various studios and a cluster of software icons to represent the fragmented and complex nature of the 3frame_problem
Open slide detailBeat · Problem Statement
26
The slide uses a hub-and-spoke visual metaphor to show software integration into the Omniverse platform.present_framework
Open slide detailBeat · Problem Statement
27
The slide illustrates the NVIDIA Omniverse ecosystem architecture, connecting hardware (server) to software (VMs) to end-user applications and global visualizatpresent_solution
Open slide detailBeat · Problem Statement
28
This slide contains no text or data; it is purely atmospheric imagery.filler
Open slide detailBeat · Problem Statement
29
Includes logos of partner hardware vendors (BOXX, Dell, HPE, Supermicro) and a visual representation of a project by Zaha Hadid Architects.front_matter
Open slide detailBeat · Propose Solution
30
The slide uses a modular layout to showcase different pillars of the NVIDIA HPC strategy.analyze_data
Open slide detailBeat · Propose Solution
31
The slide maps specific software stacks (Spark, TensorFlow, PyTorch, cuDNN, Magnum IO, TensorRT, Triton) to the ML pipeline stages.present_framework
Open slide detailBeat · Propose Solution
32
The slide contrasts historical data growth with a modern ML stack (Spark, TensorFlow/PyTorch, cuDNN, TensorRT).present_framework
Open slide detailBeat · Propose Solution
33
The slide uses a circular inset to show the software stack layers and a process flow diagram to show the integration with Spark 3.0.present_solution
Open slide detailBeat · Propose Solution
34
The slide highlights performance metrics (17 GB/s, $1M cost) alongside a high-level data processing architecture.present_framework
Open slide detailBeat · Propose Solution
35
The slide uses a process flow diagram to illustrate the integration of hardware and software stacks.present_framework
Open slide detailBeat · Propose Solution
36
The slide highlights a 5X price-performance improvement and specific throughput metrics for a TPCx-BB benchmark.present_solution
Open slide detailBeat · Propose Solution
37
The slide uses a value-chain style process flow to illustrate software stack optimization.present_framework
Open slide detailBeat · Propose Solution
38
The slide highlights efficiency gains (1/5th cost, 1/3rd power) and performance metrics (163 GB/s throughput) for a specific TPCx-BB benchmark.present_solution
Open slide detailBeat · Propose Solution
39
The slide uses a process flow diagram to illustrate the integration of NVIDIA hardware acceleration into the Databricks stack.present_solution
Open slide detailBeat · Propose Solution
40
The slide illustrates a value-add proposition where NVIDIA software accelerates standard cloud data pipelines.present_solution
Open slide detailBeat · Propose Solution
41
The slide uses a circular inset image showing hardware and software layers, and a process flow diagram for the AI pipeline.present_framework
42
The diagram illustrates a standard two-stage recommendation pipeline (retrieval/candidate generation followed by ranking).present_framework
Open slide detailLoop · Zoom In
43
The slide contrasts legacy CPU-based processing times with GPU-accelerated times while detailing the Merlin software stack.present_solution
Open slide detailLoop · Zoom In
45
The slide illustrates a technical architecture or workflow integration between two NVIDIA products.present_solution
Open slide detailLoop · Zoom In
47
The slide shows a bidirectional flow between the human and the avatar, with Jarvis acting as the processing engine (ASR, NLU, TTS, A2F) feeding into Omniverse.present_solution
49
The slide illustrates a technical stack for conversational AI, highlighting the integration of various models (NLU, speech, vision) into a single framework.present_solution
50
The slide illustrates a pipeline: Pre-trained models -> Re-train (NVIDIA AI Toolkit) -> NVIDIA Jarvis (Triton Inference Server) -> Application.present_solution
51
The slide uses a horizontal layout with circular imagery for each industry segment, followed by a logo grid at the bottom.establish_context
52
The slide shows a circular inset of the hardware/software stack on the left and a process flow diagram on the right.present_framework
53
The slide uses visual metaphors of server racks to represent scale and workload diversity.establish_context
54
Product launch slide featuring a high-fidelity render of the hardware and circular icons representing technical specifications.present_solution
55
Features 5 circular icons representing technical capabilities (54B transistors, 3rd Gen Tensor Cores, Sparsity Acceleration, MIG, 3rd Gen NVLink & NVSwitch) andpresent_solution
56
The slide illustrates the bit-width composition of different floating-point formats used in NVIDIA Tensor Cores.present_framework
57
The slide uses a visual metaphor of data cubes to represent precision and range differences.present_solution
58
The slide uses a visual process flow to explain the transition from dense to sparse matrix computation.present_solution
59
The chart shows V100 performance metrics (FP64, FP32, FP16, INT8). The A100 hardware is shown on the right.present_solution
Open slide detailLoop · Before After
60
The chart compares V100 and A100 performance metrics (Peak vs Measured) across FP64, FP32/TF32, FP16, and INT8.quantify_opportunity
Open slide detailLoop · Before After
61
The chart compares V100 and A100 performance metrics, including sparse compute capabilities.quantify_opportunity
Open slide detailLoop · Before After
62
The chart uses a grouped bar structure to compare V100 and A100 performance, highlighting the 'sparse' capability of the A100.analyze_data
Open slide detailLoop · Before After
63
The diagram on the left visually represents the partitioning of a monolithic GPU resource into seven smaller, independent instances.present_solution
Open slide detailBeat · Thesis Headline
64
The slide uses a bar chart to demonstrate performance improvements in AI workloads.analyze_data
Open slide detailBeat · Thesis Headline
65
The slide uses a collage of bird photos as a background to illustrate the audio classification task.analyze_data
Open slide detailBeat · Thesis Headline
66
The slide uses a series of circular icons to represent technical specifications alongside a high-quality product render.front_matter
68
The slide uses a callout-style diagram to label components of the server hardware.other
70
The slide uses a product render to emphasize the hardware architecture.present_solution
71
The slide uses a product render to emphasize the hardware architecture.present_solution
72
The slide uses a logo-grid to establish market credibility and ecosystem support.establish_context
74
The slide uses a visual representation of a server rack to anchor the technical specifications and efficiency metrics.quantify_opportunity
77
The slide uses a high-impact metric (52 Billion Edges / Sec) overlaid on a photo of a data center.illustrate_case
78
The slide highlights a 13x performance improvement and 1/75th cost reduction compared to a baseline (implied).illustrate_case
79
The image shows a large server farm, emphasizing the scale of the infrastructure required for the described data processing.illustrate_case
80
The slide features a high-quality render of a server rack, likely representing the DGX A100 cluster mentioned in the text.illustrate_case
81
The slide uses a high-fidelity 3D render of a data center floor as the background.introduce_nominees
82
The slide uses a high-angle photograph of a data center as a background for the text overlay.quantify_opportunity
83
The slide uses a product render to emphasize the hardware architecture.present_solution
84
The slide uses a horizontal arrangement of icons to represent the breadth of the smart revolution.establish_context
85
The slide uses callouts to label specific components of the hardware shown in the center.present_solution
86
The slide uses a process flow diagram to illustrate how software components (NGC, AI Toolkit) integrate into the EGX stack, culminating in edge hardware.present_solution
87
The slide illustrates a technical stack integration (NVIDIA EGX, Aerial, Metropolis, Deepstream, Jarvis).present_framework
88
The slide illustrates a bidirectional data flow between a physical environment and a digital twin, powered by the NVIDIA EGX hardware stack.present_solution
89
This appears to be a frame from a simulation or promotional video for warehouse automation technology.illustrate_case
90
The slide uses a 'problem-solution' framing by contrasting the extreme complexity of BMW's production (the 'problem') with the specific robotic solutions (the 'illustrate_case
91
The slide uses a hub-and-spoke visual metaphor with the NVIDIA hardware at the center, surrounded by vertical application pillars and categorized partner logos.establish_context
92
The slide uses a horizontal progression to show scalability across different vehicle autonomy levels.present_solution
93
The slide uses a process-flow layout to illustrate the lifecycle of AV development.present_framework
94
This appears to be a high-fidelity 3D render used as a visual transition or background slide.filler
95
The slide uses a logo-grid layout to demonstrate the breadth of the NVIDIA DRIVE partner network.establish_context