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RPTech, an NVIDIA Partner, in association with AIM, to Host ‘GenAI: From Build to Impact’ Meetup in Mumbai
Mumbai's AI Circus

RPTech, an NVIDIA Partner, in association with AIM, to Host ‘GenAI: From Build to Impact’ Meetup in Mumbai

This in-person developer meetup in Mumbai will explore how AI teams can build, fine-tune, and scale generative AI applications efficiently using NVIDIA DGX Spark.

RPTech, an NVIDIA Partner, in association with AIM, to Host ‘GenAI: From Build to Impact’ Meetup in Mumbai
AIM Media House·Published Updated

Key takeaways

  • RPTech and AIM will host a developer meetup in Mumbai on May 9, 2026, focusing on generative AI applications.
  • The event will demonstrate the use of NVIDIA DGX Spark to enhance the generative AI development lifecycle.
  • Sessions are aimed at experienced professionals in AI, data, and advanced computing fields.
  • Participants will learn about NVIDIA's AI ecosystem, including tools for optimised training and efficient inference.
5 min

Rashi Peripherals Limited (RPTech), an NVIDIA partner, in association with AIM, will host ‘GenAI: From Build to Impact’ on May 9, 2026. 

This will be an in-person developer meetup at 91Springboard 74 Techno Park, Andheri East in Mumbai, focused on the transition from early-stage AI prototyping to real-world deployment. 

Centred around NVIDIA DGX SparkTM, the company’s desk-side personal AI supercomputer, the session will walk participants through practical ways to accelerate the entire generative AI lifecycle.

The event builds on a broader initiative by NVIDIA and its partners to enable developers with accessible, high-performance AI infrastructure. A similar session held in Hyderabad on April 10 highlighted how DGX SparkTM can support local model development, fine-tuning, and inference while integrating seamlessly into enterprise-scale systems.

The sessions are tailored for experienced professionals with at least three years of industry experience. This includes data scientists, AI/ML engineers, software developers, data engineers, cloud and DevOps engineers, cybersecurity specialists, and other professionals working in AI, data, and advanced computing domains.

For registration and more information, click here

What the Sessions Will Cover

Participants will gain exposure to NVIDIA’s wider AI ecosystem, including CUDA, TensorRT, NVIDIA NeMo, RAPIDS, and NVIDIA NIM microservices. These tools collectively support faster data processing, optimised training, and efficient inference, all of which are key requirements for production-grade AI systems.

The focus will be on how workflows built on DGX SparkTM can scale to larger deployments, such as NVIDIA DGX SuperPOD, enabling organisations to transition smoothly from development environments to enterprise infrastructure.

The meetup will also prioritise hands-on understanding through live demonstrations and product walkthroughs. 

Speakers & Agenda

The session will feature NVIDIA experts working closely on AI infrastructure and developer workflows. Harshad Kunjir, Senior Solutions Architect and Engineering at NVIDIA, and Kuruba Ajay Kumar, Senior Solutions Architect at NVIDIA, will lead product walkthroughs, live demos, and discussions on building and scaling generative AI systems.

Attendees will see how large language models can be trained, fine-tuned, and deployed more efficiently, and explore agentic AI workflows and data-pipeline optimisation—areas increasingly relevant to organisations building autonomous, data-intensive systems.

Beyond the technical deep dive, the speakers will create space for interaction. Open discussions with them and peers will allow participants to exchange ideas, troubleshoot challenges, and understand how others are approaching GenAI deployment.

For detailed agenda and registration details, click here

For developers and organisations alike, this meetup offers a closer look at bringing the power of accelerated computing directly into the hands of those building the next wave of AI applications.

Note: This is an invite-only event. Attendance is limited to confirmed participants.

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