Vision / Traction Organizer · Annual refresh

NVIDIA Corporation

NVDA · Information Technology · Generated Jul 21, 2026

Voice: Technical, fast, exacting · NVIDIA’s black field, acid green, compact grid, and geometric type mirror its developer, keynote, and data-center identity.

Vision

Page 1

Core Values

Speed of light
Move now
One team
Win together
Intellectual honesty
Face facts
Innovation
Invent first
Excellence
Raise standards

Core Focus

Purpose / Cause / Passion

Accelerate computing for a better world.

Our Niche

Accelerated computing platforms and AI infrastructure.

10-Year Target

$500B annual revenue by fiscal 2036.

Marketing Strategy

Target Market

Cloud providers, enterprises, nations, researchers, and creators building AI factories.

Three Uniques

1.Full-stack accelerated computing
2.CUDA developer ecosystem
3.AI factory scale

Proven Process

1.Invent architecture
2.Build platforms
3.Enable developers
4.Scale partners
5.Deploy factories
6.Optimize workloads

Guarantee

Certified platforms run supported workloads at launch.

Traction

Page 2

3-Year Picture

Future date: Jan 28, 2029

Revenue

$325B+

Profit

$180B+ net income

What it looks like

Blackwell successors at scale.
Networking is a growth pillar.
AI factories become enterprise infrastructure.
Sovereign AI footprint global.
CUDA lead intact.
Supply chain diversified and resilient.

1-Year Plan

Future date: Jan 28, 2027

Revenue

$220B+

Profit

$120B+ net income

Goals

1.Deliver $220B+ FY2027 revenue.
2.Maintain 70%+ non-GAAP gross margin.
3.Launch Rubin platform by fiscal Q4.
4.Grow networking revenue 30%+.
5.Expand sovereign AI to 30 countries.

Rocks

This quarter

Jensen Huang
Rubin launch readiness
Secure top-five cloud launch commitments by Jan 28, 2027.
Colette Kress
Margin durability
Hold non-GAAP gross margin at 70%+ through FY2027.
Debora Shoquist
Blackwell supply scale
Increase qualified advanced-packaging supply 50% by fiscal year-end.
Jay Puri
Sovereign AI pipeline
Close 10 sovereign AI platform agreements by fiscal year-end.
Michael Kagan
Scale Ethernet AI networking
Certify Spectrum-X with 10 OEM and cloud platforms by year-end.

Issues List

1.Advanced packaging remains constrained.source
2.China export controls limit demand.source
3.Hyperscaler in-house silicon pressure.
4.AI power availability bottleneck.
5.Gross margin normalization risk.source
6.Networking competition intensifies.
7.Regulatory scrutiny over AI dominance.

Sources

Illustrative V/TO in the EOS format for NVIDIA Corporation. Not affiliated with or endorsed by the company. Generated from public information; treat as a strategy exercise.