Ankit Patel

WWC24 - Ankit Patel - Unlocking the Future Breakthrough Application Performance and Capabilities with NVIDIA

A vision model sees a bus. An LLM interprets it. Another model speaks an alert. Learn how to compose specialized AI into powerful, real-time applications.

WWC24 - Ankit Patel - Unlocking the Future Breakthrough Application Performance and Capabilities with NVIDIA
#1about 3 minutes

Understanding accelerated computing and GPU parallelism

Accelerated computing offloads parallelizable tasks from the CPU to specialized GPU cores, executing them simultaneously for a massive speedup.

#2about 2 minutes

Calculating the cost and power savings of GPUs

While a GPU-accelerated system costs more upfront, it can replace hundreds of CPU systems for parallel workloads, leading to significant cost and power savings.

#3about 4 minutes

Using NVIDIA libraries to easily accelerate applications

NVIDIA provides domain-specific libraries like cuDF that allow developers to accelerate their code, such as pandas dataframes, with minimal changes.

#4about 3 minutes

Shifting from traditional code to AI-powered logic

Modern AI development replaces complex, hard-coded logic with prompts to large language models, changing how developers implement functions like sentiment analysis.

#5about 3 minutes

Composing multiple AI models for complex tasks

Developers can now create sophisticated applications by chaining multiple AI models together, such as using a vision model's output to trigger an LLM that calls a tool.

#6about 2 minutes

Deploying enterprise AI applications with NVIDIA NIM

NVIDIA NIM provides enterprise-grade microservices for deploying AI models with features like runtime optimization, stable APIs, and Kubernetes integration.

#7about 4 minutes

Accessing NVIDIA's developer programs and training

NVIDIA offers a developer program with access to libraries, NIMs for local development, and free training courses through the Deep Learning Institute.

Related jobs
Jobs that call for the skills explored in this talk.

Machine Learning Engineer

Picnic Technologies B.V.

Picnic Technologies B.V.
Amsterdam, Netherlands

Intermediate
Senior
Python
Structured Query Language (SQL)
+1

Matching moments

Boosting Python performance with the Nvidia CUDA ecosystem
01:12 MIN

Boosting Python performance with the Nvidia CUDA ecosystem

The weekly developer show: Boosting Python with CUDA, CSS Updates & Navigating New Tech Stacks

The rise of general-purpose GPU computing
00:53 MIN

The rise of general-purpose GPU computing

Accelerating Python on GPUs

NVIDIA's platform for the end-to-end AI workflow
18:20 MIN

NVIDIA's platform for the end-to-end AI workflow

Trends, Challenges and Best Practices for AI at the Edge

Introduction to large-scale AI infrastructure challenges
00:05 MIN

Introduction to large-scale AI infrastructure challenges

Your Next AI Needs 10,000 GPUs. Now What?

Highlighting impactful contributions and the rise of open models
07:36 MIN

Highlighting impactful contributions and the rise of open models

Open Source: The Engine of Innovation in the Digital Age

Using NVIDIA's full-stack platform for developers
15:01 MIN

Using NVIDIA's full-stack platform for developers

Pioneering AI Assistants in Banking

How GPUs evolved from graphics to AI powerhouses
01:11 MIN

How GPUs evolved from graphics to AI powerhouses

Accelerating Python on GPUs

Key milestones in the evolution of AI and GPU computing
02:24 MIN

Key milestones in the evolution of AI and GPU computing

AI Factories at Scale

Featured Partners

Related Videos

See all videos
Your Next AI Needs 10,000 GPUs. Now What?29:52

Your Next AI Needs 10,000 GPUs. Now What?

Anshul Jindal & Martin Piercy

How AI Models Get Smarter35:16

How AI Models Get Smarter

Ankit Patel

Generative AI power on the web: making web apps smarter with WebGPU and WebNN32:27

Generative AI power on the web: making web apps smarter with WebGPU and WebNN

Christian Liebel

Accelerating Python on GPUs22:18

Accelerating Python on GPUs

Paul Graham

The Future of Computing: AI Technologies in the Exascale Era30:46

The Future of Computing: AI Technologies in the Exascale Era

Stephan Gillich, Tomislav Tipurić, Christian Wiebus & Alan Southall

AI: Superhero or Supervillain? How and Why with Scott Hanselman25:17

AI: Superhero or Supervillain? How and Why with Scott Hanselman

Scott Hanselman

AI Factories at Scale24:26

AI Factories at Scale

Thomas Schmidt

Accelerating Python on GPUs24:39

Accelerating Python on GPUs

Paul Graham

Related Articles

View all articles
CH
Chris Heilmann
With AIs wide open - WeAreDevelopers at All Things Open 2025
Last week our VP of Developer Relations, Chris Heilmann, flew to Raleigh, North Carolina to present at All Things Open . An excellent event he had spoken at a few times in the past and this being the “Lucky 13” edition, he didn’t hesitate to come and...
With AIs wide open - WeAreDevelopers at All Things Open 2025
CH
Chris Heilmann
WWC24 Talk - Scott Hanselman - AI: Superhero or Supervillain?
Join Scott Hanselman at WWC24 to explore AI's role as a superhero or supervillain. Scott shares his 32 years of experience in software engineering, discusses AI myths, ethical dilemmas, and tech advancements. Engage with his live demos and insights o...
WWC24 Talk - Scott Hanselman - AI: Superhero or Supervillain?

From learning to earning

Jobs that call for the skills explored in this talk.