- Digital Workplace
- AI
- NVIDIA
- Webinar
AI adoption is accelerating, bringing a new set of decisions:
Where should AI run? What will it cost at scale? And does every AI workload need to run in the cloud?
As AI becomes part of everyday business, organizations need to consider not only which AI tools to use, but how AI should be delivered, managed and scaled across the organization.
AI is changing the IT equation
Join Danoffice IT and NVIDIA as we explore how token economics, AI on-device and emerging AI infrastructure are changing the way organizations approach AI.
We will look at the balance between cloud and local AI, what happens when more AI workloads can run directly on devices, and how this development could influence cost, compute, data, devices and IT architecture.
What you can expect
Together with NVIDIA, we will take a closer look at:
- Token economics: What does growing AI consumption mean for your IT costs?
- Cloud vs. local AI: Does every AI workload need to run in the cloud?
- AI on-device: What changes when more AI can run directly on employees’ devices?
- AI-ready devices: What role will PCs and workstations play in the next phase of AI?
- Data and control: How does the location of AI workloads affect data and governance considerations?
- AI infrastructure: What strategic decisions should IT leaders already be considering?
Be among the first to join
The next phase of AI is already taking shape.
Want to stay ahead of what it could mean for your IT strategy, costs and infrastructure?
Join the interest list for our upcoming webinar with NVIDIA and be among the first to receive an invitation when registration opens.
