Nvidia Partners with Groq on New Inference Platform as OpenAI Seeks Speed

Key Points

Table of Contents

A fresh inference computing platform is in development at Nvidia to accelerate AI model execution for OpenAI and similar enterprises.
Groq, a chip startup, will supply the processor for this platform, which Nvidia plans to unveil at its upcoming GTC conference in San Jose.
Performance issues with Nvidia’s existing hardware have left OpenAI dissatisfied, particularly for development-related workloads.
A massive $20 billion licensing agreement between Nvidia and Groq halted OpenAI’s independent negotiations with the startup.
Last September, Nvidia pledged up to $100 billion toward OpenAI in exchange for equity ownership.

According to a Wall Street Journal article released Friday, Nvidia is creating a specialized processor designed to enhance the speed and efficiency of AI inference operations.

NVIDIA to launch a new AI processing chip, with OpenAI expected as a major buyer. pic.twitter.com/2ZCRJUlXvA

— MANDO CT 🇮🇪 🇦🇪 🇬🇧 (@XMaximist) February 28, 2026

When AI systems like ChatGPT answer user questions, they’re performing inference computing. This differs substantially from training operations, where Nvidia has maintained market leadership for years.

Nvidia’s GTC developer conference in San Jose next month will serve as the launch venue for this platform. At its core sits a processor manufactured by emerging company Groq.

NVIDIA Corporation, NVDA

Neither Reuters nor Nvidia provided immediate confirmation of these details. OpenAI similarly remained silent when asked for comment.

The context surrounding this development is significant. Earlier this month, Reuters revealed that OpenAI has expressed frustration over performance limitations in Nvidia’s current hardware lineup—particularly when handling software development queries and facilitating AI-to-AI interactions.

OpenAI is pursuing hardware solutions capable of managing approximately 10% of its inference workload. Nvidia appears determined to retain this business.

The Hunt for Enhanced Processing Power

Prior to Nvidia’s intervention, OpenAI had initiated discussions with two chip manufacturers—Cerebras and Groq—seeking superior inference processing capabilities.

Those negotiations ended abruptly. Nvidia secured Groq through a $20 billion licensing arrangement, eliminating OpenAI’s option to work directly with the startup.

This represents a calculated strategic maneuver. By acquiring Groq’s technology through licensing, Nvidia simultaneously blocked a potential competitor from reaching OpenAI while gaining access to Groq’s chip innovations for its own infrastructure.

The Deeper Financial Connection

The commercial ties between Nvidia and OpenAI extend well beyond hardware procurement.

Last September, Nvidia announced plans to commit up to $100 billion to OpenAI. This arrangement provided Nvidia with ownership shares in the AI developer while furnishing OpenAI with resources to acquire cutting-edge processors.

Nvidia now occupies dual roles as both hardware vendor and financial stakeholder—a strategic position that creates powerful incentives to maintain control over OpenAI’s chip requirements.

On February 27, the day prior to this news emerging, NVDA stock declined 4.16%.

Should the inference platform receive official confirmation at next month’s GTC event, it would mark Nvidia’s targeted answer to mounting demands from clients requiring faster, purpose-built AI processing capabilities.

Groq’s inclusion in the platform architecture indicates Nvidia’s readiness to forge startup partnerships rather than engage in pure competition—particularly when such collaborations prevent competitors from accessing major clients.

Nvidia’s GTC developer conference is scheduled for San Jose next month, where the company is anticipated to formalize this announcement.

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