Artificial intelligence continues to reshape how organizations build, deploy, and scale
technology, and the channel is playing a central role in bringing these innovations to
market. To explore the latest developments, Fabrice Bagniakana, AI Director for Europe at TD SYNNEX, spoke with Mae Wang, NVIDIA Director for Europe at TD SYNNEX, who leads the strategic partnership between NVIDIA and TD SYNNEX across the region.
In this conversation, Mae shares her perspective on the most significant AI trends emerging across Europe, the growing shift toward hybrid and on-prem AI infrastructure,
and why partners are increasingly becoming trusted guides for customers navigating the
AI landscape. She also explains the significance of NVIDIA’s new RTX Pro Server, how it fits into NVIDIA’s broader strategy, and the role TD SYNNEX plays in helping partners turn AI opportunities into real outcomes through the Destination AI program.
This discussion provides a clear view of where the market is heading and how partners can position themselves at the forefront of AI adoption. Below is the full interview.
Fabrice : Mae, to start, could you introduce yourself and tell us about your role as NVIDIA Director for Europe at TD SYNNEX ?
Mae: My name is Mae, EMEA Director for NVIDIA at TD SYNNEX. I lead the strategic partnership between NVIDIA and TD SYNNEX and the vast ecosystem around NVIDIA.
That means helping resellers, solution providers, Neoclouds and ISVs in bring NVIDIA
technology to market. Whether it’s AI infrastructure from accelerated workstations all the way to AI factories and ensuring they have the tools, training and support to successfully
build and scale AI solutions for their customers.
Fabrice : From your perspective across Europe, what are some of the most important AI market trends you’re observing right now?
Mae : At TD SYNNEX, we’re seeing AI adoption accelerate far beyond the early adopters. It’s no longer just the big 7 and what’s most exciting is that the channel is now
actively serving traditional industries like manufacturing, healthcare, Telecom, retail, and even public sector are now actively moving from experimentation to deployment.
There are three major trends we’re observing:
- AI is moving from the cloud to hybrid and on-prem infrastructure.
Organisations want greater control over their data, sovereignty, and cost efficiency which is driving strong demand for local, secure, GPU-powered AI deployments. - The focus is shifting from ‘Can we build AI?’ to ‘How do we scale itresponsibly and efficiently?’
Topics like governance, sustainability, and performance optimization are now core to every AI conversation. - Partners are becoming trusted AI guides.
Customers don’t just want a product, they want someone to help them identify use cases, validate architectures, and deliver end-to-end AI solutions.
AI is no longer just a technology trend, it’s becoming a business imperative, and the
ecosystem around it is maturing quickly.
Fabrice : NVIDIA recently launched the RTX Pro Server, which is a very strategic solution. Could you explain in simple terms what it is and why it matters for the AI ecosystem?
Mae : RTX Pro Server is a very exciting addition to the NVIDIA portfolio. In simple terms, it’s a
universal platform that makes AI and advanced graphics accessible to a much broader range of organizations.
We know that modern enterprises have diverse range of accelerated workloads and the RTX Pro Blackwell server edition can run all of your enterprise applications AND your agentic AI amongst other accelerated applications.
It’s all about selecting the best platform for the job, choosing the right infrastructure based on customer requirements, for Large scale model training and inference you may want to consider a B200 or a H200 if you have compute heavy workloads. But the RTX
Pro Blackwell server edition is perfect for those enterprises with a mix of accelerated
workloads that is powerful enough for fine-tuning and inference, but also ideal for digital
twins, rendering, simulation, or hosting multiple virtual workstations. Its 2x the
performance of Hopper at ½ the cost. It’s incredibly versatile and removes the barrier to
entry for customers who want serious AI performance and RTX Pro server edition is the
starting point for modernization and the beginning of your AI factory journey.
Fabrice : How does the RTX Pro Server fit into NVIDIA’s overall strategy and the way we, at TD SYNNEX, support our partners in AI?
Mae : The RTX Pro Server fits perfectly into NVIDIA’s strategy of democratizing AI. Not
every organization is ready for large-scale GPU clusters — but many are ready for a scalable, cost-effective entry point.
For TD SYNNEX and our partners, it gives us a tangible, ready-to-deploy solution that sits right in the sweet spot between as an entry point to AI. We can position it across
multiple verticals with repeatable use cases and layer services, financing and support around it to create full-stack offerings.
Fabrice : At TD SYNNEX, we’ve invested a lot in our Destination AI program. How does this initiative help our partners navigate AI and capture new opportunities?
Mae : Our Destination AI program is designed to meet partners wherever they are on their AI journey. Some need education and enablement. Others need access to demo labs, technical validation or pre-sales expertise. And some are already building solutions and simply need go-to-market acceleration.
What makes Destination AI powerful is that it’s not just about learning, it’s about activating. We help partners identify use cases, test them, package them and take them to market with credibility.
Fabrice : More broadly, what unique value do we bring to partners through Destination AI and our collaboration with NVIDIA?
Mae : We are in a unique position to help our channel partners demystify AI. NVIDIA has
the reference architecture and the full stack solution for AI innovation. TD SYNNEX’s
Destination AI provides everything around it, from training and solution design to integration, services and lifecycle support. That allows partners to move fast, reduce complexity and build AI practices without having to figure everything out alone.
Fabrice : To wrap up, is there one key message or piece of advice you’d like to leave with our partners and audience today?
Mae : My message to partners is simple: start now even if you start small. You don’t need to be an AI expert to succeed in this space. You just need to engage with us, explore one use case, and lean on the our vast ecosystem and scale.
NVIDIA and TD SYNNEX are here to support every step of that journey. The opportunity is massive and now is the time to seize it.
