6
JUNE 2026
NVIDIA ECOSYSTEM
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Eligibility Criteria
1.
Proven consulting capabilities
in
enterprise AI strategy, value
realization
and
transformation
roadmap development
aligned
with NVIDIA’s AI ecosystem
2.
Structured methodologies for
AI use-case discovery, data
readiness assessment, model
feasibility, business case
development
and prioritization
of
GPU-intensive workloads
3.
Advisory capabilities for
deployment-model selection
across
hyperscaler, on-
premises, sovereign, GPU as a
service (GPUaaS)
and hybrid
environments using
NVIDIA
reference architectures
and
ecosystem capabilities
4.
Expertise in defining AI operating
models covering
governance,
security, responsible AI,
data control, skills, lifecycle
management
and
enterprise-
scale adoption
5.
Capabilities to assess
GPU
economics, energy implications,
cost-to-value trade-offs,
workload suitability
and ROI
potential for
NVIDIA-based AI
transformation programs
6.
Industry-specific advisory
experience in
AI factories,
digital twins, physical AI,
agentic AI, manufacturing,
automotive, healthcare
or
other
industry use cases
7.
Evidence of measurable client
outcomes, including
value
realization, risk reduction,
adoption acceleration,
transformation maturity
and
executive decision support
Definition
This quadrant evaluates service providers
that help enterprises adopt NVIDIA-aligned AI
platforms, operating models and transformation
roadmaps at scale. Providers support AI
strategy, use case prioritization, data and
model readiness assessments, business
case development and governance-led
transformation programs aligned with NVIDIA’s
full-stack AI ecosystem across cloud, on-
premises, sovereign and hybrid environments.
This quadrant emphasizes consulting-led
capabilities across AI value realization,
operating model design, use-case discovery,
platform sourcing decisions, deployment-model
assessment, GPU economics, data governance,
responsible AI and regulatory alignment.
Providers are assessed on their ability to align
NVIDIA technologies such as DGX, NVIDIA AI
Enterprise, NIM, NeMo and Omniverse with
enterprise transformation priorities, industry-
specific AI opportunities and measurable
outcomes. The focus lies across translating
NVIDIA ecosystem complexity into executable
roadmaps, investment strategies and scalable
AI governance.
NVIDIA Consulting and AI Transformation Services
