Built Different: Dell x NVIDIA webinar on the new AI developer playbook
AI developers are facing bigger models, faster iteration demands, and increasingly complex pipelines. This webinar dives into how new client-side capabilities are changing what gets built locally, and how quickly prototypes take shape.
AI development has reached an inflection point. Teams building GenAI and NLP systems are managing far larger models, navigating more sensitive datasets, and working under tighter iteration cycles than ever before. At the same time, cloud queues, rising experimentation costs, and privacy constraints continue to slow down even strong engineering teams. These pressures are reshaping how developers work, pushing them to rethink what should run on cloud clusters and what needs to happen closer to where the code is written.
This is where a new class of client-side systems is beginning to change the equation. Platforms like the Dell Pro Max with NVIDIA GB10 Grace Blackwell Superchip are designed to give AI developers high performance, simplicity, security, and cost control in a single, reliable setup.
It’s in this rapidly changing environment that YourStory is launching the first session of CodeCraft: The Dev Masterclass Series, powered by Dell Technologies. This series builds on the momentum of the ‘AI at Work: The Builder’s Edition’ event held in October 2025, moving from high-level infrastructure conversations to the practical realities shaping the modern development loop.
The first webinar, themed ‘Built Different: How AI developers are reworking their playbook’ scheduled for January 16 at 3PM IST takes a closer look at how developers are rewriting their workflows in response to growing complexity and pressure. Hybrid pipelines, splitting workloads between local devices and cloud environments, are becoming a necessity rather than an optimization. Early-stage experimentation, privacy-centric testing, and the need for predictable iteration cycles are leading teams to rethink what should run on cloud clusters and what’s better executed locally.
Against this backdrop, new client-side capabilities are starting to play a meaningful role in reshaping the builder’s toolkit. Devices like the Dell Pro Max with NVIDIA GB10 Grace Blackwell Superchip are bringing supercomputing-class performance to the desk, enabling developers to run demanding workloads locally, test prototypes more quickly, and fine-tune models without depending entirely on the cloud.
While the session will not dive into product details, this new class of accessible compute power provides valuable context: AI engineering constraints are no longer only about hardware ceilings; they’re increasingly about how quickly a developer can turn an idea into a working prototype.
A panel discussion, moderated by YourStory, will bring together leaders from Dell Technologies and NVIDIA, alongside a startup CTO, offering perspectives from enterprise engineering, platform development, and hands-on product building.
Representing Dell Technologies is Vivekanandh NR, a senior engineering leader who works closely with enterprise and startup teams on high-performance computing and AI infrastructure.
Joining him is Vatsal Moradiya, Solutions Architect at NVIDIA and a DevOps and AI specialist, who works closely with developers and engineering teams to design, optimise, and deploy AI workloads in real-world environments.
Rounding out the panel is Abhinav Aggarwal, Co-founder and CEO of Fluid AI, whose work focuses on building AI-powered experiences and analytics solutions for global banks and corporates.
The conversation will focus on how builders are navigating larger models, faster iteration cycles, and more complex pipelines, and how emerging client-side performance, including Dell’s Pro Max series powered by NVIDIA Grace Blackwell architecture, is beginning to influence the earliest phases of model development and testing.
A live demo designed for practitioners
To anchor the discussion in real-world practice, the webinar will also feature a live demo. Unlike a product walkthrough, the demo will showcase an everyday workflow that AI developers frequently manage such as running a model locally, fine-tuning a mid-sized model, or executing an offline agent pipeline. The purpose is to demonstrate how the right compute environment can meaningfully reduce iteration cycles and give teams more control during the phases where speed matters most.
Why this webinar matters for builders in 2026
As GenAI becomes a foundational layer across industries, the pressure on development speed, reliability, and data stewardship has never been higher. Builders are no longer asking, “How do we scale this model?” but increasingly, “How do we move faster without compromising quality or control?” The rise of hybrid development setups and more capable client-side hardware makes this an important moment for engineering teams recalibrating their workflows for the year ahead.
The session aims to give practitioners a clear understanding of how AI development is evolving and what approaches will define the next wave of innovation. The session will conclude with a forward-looking view of what developers should prioritize in 2026.
Registration is now open for “Built Different: How AI developers are reworking their playbook.” Secure your seat and be part of an in-depth discussion on how AI development is evolving.