NVIDIA · conference-presentation
NVIDIA | Investor Presentation Deck | 69 slides
69 pages · 5 arc beats · 2 loops
NVIDIA | Investor Presentation Deck | 69 slides
NVIDIA · 2020-12 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
What Is 4 slides 100% 4/4 slides 100% 4/4 slides · 11 hits — 0/4 slides
— 0/4 slides
25% 1/4 slides 100% 4/4 slides — 0/4 slides
What Could Be 6 slides 100% 6/6 slides 100% 6/6 slides · 39 hits — 0/6 slides
83.3% 5/6 slides · 7 hits — 0/6 slides
100% 6/6 slides — 0/6 slides
New Bliss 10 slides 100% 10/10 slides 100% 10/10 slides · 39 hits — 0/10 slides
10% 1/10 slides 10% 1/10 slides 100% 10/10 slides 10% 1/10 slides Problem 3 slides 100% 3/3 slides 100% 3/3 slides · 8 hits — 0/3 slides
33.3% 1/3 slides — 0/3 slides
100% 3/3 slides 100% 3/3 slides Solution 5 slides 100% 5/5 slides 100% 5/5 slides · 25 hits — 0/5 slides
40% 2/5 slides 40% 2/5 slides 100% 5/5 slides — 0/5 slides
Slide inventory
69 every slide · same image gating as the playbook
04
The slide illustrates the NVIDIA software-defined hardware stack, emphasizing the role of CUDA as the bridge between hardware and domain-specific libraries/applpresent_framework
Open slide detailBeat · What Is
05
The slide uses a grid-like layout to present five distinct technological pillars of the A100 architecture.present_solution
Open slide detailBeat · What Could Be
06
The slide uses a two-column layout with a list of technical specifications on the left and a high-quality product render on the right.other
Open slide detailBeat · What Could Be
07
The slide illustrates the transition from dense to sparse matrices and the resulting performance gain on A100 hardware.present_solution
Open slide detailBeat · What Could Be
08
The slide uses a 3D exploded view to illustrate hardware architecture.present_solution
Open slide detailBeat · What Could Be
09
The slide uses isometric illustrations of server racks to visually represent the 4-node and 8-node configurations.present_solution
Open slide detailBeat · What Could Be
10
The slide uses a high-quality photo of the data center as the background with a semi-transparent overlay for text.summarize
Open slide detailBeat · What Could Be
11
The slide uses a background image of a data center rack to emphasize the hardware context.summarize
Open slide detailBeat · New Bliss
12
The data highlights an inverse relationship between energy consumption and overhead percentage.analyze_data
Open slide detailBeat · New Bliss
13
The chart tracks specific hardware models (K20X, M40, P100, V100, A100) against time.analyze_data
Open slide detailBeat · New Bliss
14
The chart uses V100 as the 1x baseline. 'XX' indicates no result submitted for that specific benchmark.compare_peers
Open slide detailBeat · New Bliss
15
The chart uses a normalized scale relative to the NVIDIA T4 accelerator. 'XX' denotes missing data points.compare_peers
Open slide detailBeat · New Bliss
16
The slide uses normalized performance metrics to highlight the scaling capabilities of higher-end NVIDIA hardware compared to the baseline Jetson AGX Xavier.compare_peers
Open slide detailBeat · New Bliss
17
This appears to be a stock image or a creative filler slide rather than a business presentation slide.filler
Open slide detailBeat · New Bliss
18
The image is a technical demonstration of RTXDI (RTX Direct Illumination) rendering, showing a scene with 'RTXDI OFF' labeled in the bottom right corner.filler
Open slide detailBeat · New Bliss
19
The slide is a high-fidelity 3D render used as a technical showcase for NVIDIA's RTX technology.other
Open slide detailBeat · New Bliss
20
The image uses a diagonal split to compare lighting effects.illustrate_case
21
The slide uses a diagonal split screen to compare two rendering states.illustrate_case
Open slide detailLoop · Cost Of Inaction
22
The diagram shows a feedback loop where the output is compared against a 16K ground truth to update weights (Δw) in the neural network.present_framework
Open slide detailLoop · Cost Of Inaction
23
The slide uses a visual comparison to demonstrate the performance benefit of DLSS technology.present_solution
Open slide detailLoop · Cost Of Inaction
24
The slide demonstrates the performance uplift of DLSS (141 FPS) versus Native (108 FPS) while maintaining visual fidelity.present_solution
Open slide detailLoop · Cost Of Inaction
25
The slide uses a path-tracing diagram to highlight specific stages (sampling, guiding, termination) that could benefit from dedicated hardware.plan_implementation
Open slide detailLoop · Cost Of Inaction
26
The slide shows three AI-generated images (two human faces, one cat) to demonstrate the concept of 'Random Numbers in -> Image out'.other
27
The chart uses a logarithmic scale on the Y-axis to visualize exponential growth.analyze_data
28
The chart tracks specific chip models (K20X, M40, P100, V100, A100) over time.analyze_data
29
The diagram depicts the adversarial training process where the Discriminator is fed either real images or fake images generated from a latent variable.present_framework
30
The slide illustrates the architectural shift from a traditional generator to a style-based generator, specifically showing the introduction of the mapping netwpresent_framework
31
The slide uses a process flow diagram to explain how AI-based video compression works by transmitting keypoints instead of full video frames.present_solution
32
The slide uses a process flow diagram to explain the technical architecture of AI-based video compression.present_solution
33
Likely from a presentation about digital humans, AI avatars, or character design.other
34
The slide uses a process flow diagram to explain the AI service architecture.present_solution
35
The tool is named 'Jarvis'. It demonstrates a text-to-image or segmentation-to-image generation workflow.present_solution
36
The slide is a direct screenshot of a Linux desktop environment running a command-line interface.other
37
The diagram illustrates a standard two-stage recommendation system architecture (Candidate Generation -> Ranking).present_framework
38
The slide illustrates a data pipeline from Data Lake through ETL, Training, and Inference, highlighting specific NVIDIA software components like NVTabular, Hugepresent_solution
39
The chart tracks specific hardware models (K20X, M40, P100, V100, A100) over time.analyze_data
40
The slide uses a process flow diagram to map technical roles to specific stages of the AI inference pipeline.present_framework
41
The slide illustrates a software architecture pattern for model serving.present_framework
42
The diagram depicts a sequential pipeline architecture for AI model orchestration.present_framework
43
The slide uses a process flow diagram to map specific NVIDIA software/frameworks (RAPIDS, Clara, MONAI, BioBERT) to stages of the drug discovery pipeline.present_solution
44
The slide uses a vertical axis representing time (Months to Minutes) to illustrate efficiency gains across different scientific applications.quantify_opportunity
Open slide detailLoop · Quick Win Big Bet
45
The slide uses a three-column layout to summarize the platform architecture, performance metrics, and downstream analytics.summarize
Open slide detailLoop · Quick Win Big Bet
46
This appears to be a visual transition or filler slide in a presentation about robotics or human-robot interaction.filler
Open slide detailLoop · Quick Win Big Bet
47
Likely a technical demonstration or research slide showing path planning or collision avoidance.other
Open slide detailLoop · Quick Win Big Bet
48
The slide uses a grid of 8 photos showing a robotic arm interacting with various household objects to illustrate the 'unknown' nature of the objects.diagnose_problem
49
Likely a demonstration of robotic manipulation or computer vision in a domestic environment.illustrate_case
50
This appears to be a screenshot from a reinforcement learning simulation environment (likely NVIDIA Isaac Gym or similar) used for training robot locomotion.other
51
The slide uses a process-flow layout to illustrate the development lifecycle.present_solution
Open slide detailBeat · Solution
52
The slide acts as a visual catalog of technical capabilities for an autonomous vehicle system.other
Open slide detailBeat · Solution
53
The slide uses a visual hierarchy to show scalability from entry-level ADAS to high-end Robotaxi hardware.present_framework
Open slide detailBeat · Solution
54
The chart tracks specific hardware models (K20X, M40, P100, V100, A100) over time.analyze_data
Open slide detailBeat · Solution
55
The slide showcases hardware implementations of deep learning accelerators.present_solution
Open slide detailBeat · Solution
56
The diagram illustrates a hardware architecture with specific modules for weights, input activations, and accumulation, including a detailed view of the Vector present_framework
57
The slide uses diagrams to illustrate hardware dataflow and donut charts to compare energy distribution across components.analyze_data
58
The slide illustrates hardware architecture dataflow patterns for AI accelerators.present_framework
59
The chart shows the percentage breakdown of energy consumption for Input Buffer, Weight Buffer, Accumulation Buffer, and Datapath.analyze_data
60
The slide uses a visual comparison of hardware components to illustrate the shift from electrical to optical signaling.compare_peers
61
The diagram shows a WDM (Wavelength Division Multiplexing) system using micro-ring resonators.present_solution
62
The slide uses a cross-sectional view to explain the physical layering of components (PCB, organic package, interposer, chips).present_framework
65
The slide uses a progression of hardware sizes to illustrate the concept of scalability.present_solution
66
The chart displays performance scaling for various libraries (Legate, NumPy, Dask, CuPy) as matrix size increases.analyze_data
67
The chart uses a log-log scale. Arrows indicate specific data points or trends being highlighted.analyze_data
68
The slide illustrates the NVIDIA software-defined hardware stack, emphasizing the role of CUDA as the bridge between hardware and domain-specific libraries/applpresent_framework