---
type: entity
subtype: organization
title: "Nvidia"
description: "Co-sponsor of the AI agents developer contest whose technologies Cole must integrate to qualify."
resource: "https://www.nvidia.com/"
tags: [hardware, gpus, sponsor, contest]
videos: [is-software-engineering-finally-dead, introducing-trainers-ally-nvidia-ai-agents-competition-submission, i-will-win-the-nvidia-ai-agents-developer-contest]
created: 2026-07-21
updated: 2026-07-21
---

# Nvidia

Nvidia appears in Cole's videos in two roles: the hardware company underwriting the entire AI boom, and the co-sponsor of an AI agents developer contest whose technologies he has to integrate to qualify. On the hardware side, Cole uses Jensen Huang's net worth as a proxy for the scale of the wave, "his net worth was only $3 billion in 2019... even in 2024, it was already at $90 billion... Nvidia is selling the chips, most of the chips for LLM training and inference" ([0:04:49]). That position, owning the compute layer under every model, is why it can also sponsor the ecosystem it powers.

The contest is where Nvidia becomes hands-on in Cole's work. The brief is explicit: "build an AI agent project using Nvidia and LangChain Technologies and so that is exactly what I'm going to do" ([0:02:06]), and qualifying means "the next big thing I have to do is actually incorporate Nvidia Technologies" ([0:05:52]) into an agent otherwise running on [Groq](./groq.md) with Llama. His submission, Trainer's Ally, is introduced as "a first of its kind AI agents application powered by Nvidia and LangChain technologies" ([0:00:01]). The build touches his usual agent concerns, [Agent Teams](../../concepts/agent-teams.md), [Human in the Loop](../../concepts/human-in-the-loop.md), and the [Context Engineering](../../concepts/context-engineering.md) and [Intent Engineering](../../concepts/intent-engineering.md) that shape [What Is an AI Agent](../../concepts/what-is-an-ai-agent.md) in the first place.

## Realizes

- [What Is an AI Agent](../../concepts/what-is-an-ai-agent.md) - An AI agent is a large language model given tools to interact with the outside world and take actions, making it far more capable than the LLM alone.
- [Agent Teams](../../concepts/agent-teams.md) - Coordinating multiple specialized agents, via orchestrators, routers, and handoffs, to solve a task no single agent handles well.
- [Human in the Loop](../../concepts/human-in-the-loop.md) - Keeping a human as the approver and steerer of agentic work rather than fully automating, so AI augments engineers instead of replacing them.
- [Context Engineering](../../concepts/context-engineering.md) - The deliberate practice of curating exactly what goes into an LLM's limited context window - system messages, schemas, chat history, and dynamic variables - to avoid overload and keep outputs sharp.
- [Intent Engineering](../../concepts/intent-engineering.md) - Shifting the engineer's job from writing code to precisely expressing intent that an AI agent implements.

## Works with

- [Groq](./groq.md) - A fast inference provider Cole recommends (with a Llama model) when you need speed over raw power.

## Related

- [The Evolution of AI Coding](../../concepts/the-evolution-of-ai-coding.md) - How AI coding assistants moved from novelty to daily driver, and where the landscape, adoption, and commentary are heading.
- [OpenAI](./openai.md) - Maker of GPT-4o mini (affordable-but-strong chat model) and text-embedding-3-small (recommended RAG embedding model).

## Sources

- [I Will Win the Nvidia AI Agents Developer Contest](../../sources/i-will-win-the-nvidia-ai-agents-developer-contest.md) - "[0:02:06] build an AI agent project using Nvidia and LangChain Technologies and so that is exactly what I'm going to do."
- [Introducing Trainer's Ally - Nvidia AI Agents Competition Submission](../../sources/introducing-trainers-ally-nvidia-ai-agents-competition-submission.md) - "[0:00:01] welcome to trainers Ally a first of its kind AI agents application powered by Nvidia and LangChain technologies."
- [Is Software Engineering Finally Dead?](../../sources/is-software-engineering-finally-dead.md) - "[0:04:49] Nvidia is selling the chips, most of the chips for LLM training and inference."
