NVIDIA CFO expects Groq 3 LPX volume shipments this quarter

1 min read | Published on 24 Aug 2026, 09:12 PM |Updated on 27 Aug 2026, 02:52 AM

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Ritika DScanX News Team

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Key Highlights

NVIDIA CFO expects volume shipments of Groq 3 LPX to early adopters later this quarter
Nebius confirmed as the first customer for the new inference accelerator
System delivers record 3,400 output tokens per second in benchmark tests
Platform offers 4x faster responsiveness compared to nearest alternatives

*this image is generated using AI for illustrative purposes only.

NVIDIA Corporation (NASDAQ: NVDA) CFO stated on a conference call that the company expects to ship the NVIDIA Groq 3 LPX in volume to early adopters later this quarter.

Nebius, a leading AI cloud provider, is confirmed as the first customer for the platform. The accelerator extends the NVIDIA Vera Rubin platform, designed to boost token generation rates for latency-sensitive agentic systems.

Performance Benchmarks

In Artificial Analysis benchmarking running Gemma 4 31B, an open source agentic model, the system delivered a record 3,400 output tokens per second. This test utilized a 100,000-token context, which is critical for agentic systems requiring massive volumes of tokens across hundreds or thousands of inference steps.

The platform enables agentic tasks such as coding in minutes rather than hours. It provides 4x faster responsiveness for agents compared to the nearest alternative platform.

Metric	Value
Output Speed	3,400 tokens per second
Model Tested	Gemma 4 31B
Context Window	100,000 tokens
Responsiveness Gain	4x vs nearest alternative

Cloud Adoption

Nebius plans to bring NVIDIA Groq 3 LPX to Nebius Token Factory, its production inference platform. Danila Shtan, chief technology officer of Nebius, noted that generation determines how responsive an AI system actually is. As the first AI cloud bringing it to production, Nebius aims to make every step of an agent’s loop feel instant through existing APIs.

Purpose-built AI inference cloud Groq also plans to be among the earliest adopters of the platform.

How might the 4x responsiveness gain impact the competitive landscape between NVIDIA, Groq, and other AI inference providers in the enterprise sector?

What are the projected cost implications for Nebius customers when migrating to the Groq 3 LPX platform compared to current GPU-based inference solutions?

Will the success of the Vera Rubin platform accelerate the shift from training-focused to inference-focused hardware investments among major cloud providers?

Nvidia CFO calls Vera Rubin ramp fastest in company history

0 min read | Published on 27 Aug 2026, 02:28 AM |Updated on 27 Aug 2026, 02:49 AM

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Shriram SScanX News Team

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Key Highlights

Nvidia CFO labels Vera Rubin ramp as fastest in company history
$40 billion revenue opportunity cited per gigawatt for new architecture
Production shipments of Vera Rubin began in Q3 FY27
Company faces supply constraints due to scale and complexity
Significant commitments made to secure future inventory and capacity

*this image is generated using AI for illustrative purposes only.

Nvidia Corp’s chief financial officer described the Vera Rubin product ramp as the fastest in the company's history. The executive highlighted a $40 billion revenue opportunity per gigawatt for the next-generation architecture.

This assessment comes as Nvidia began production shipments of Vera Rubin in the third quarter of fiscal year 2027. The company plans to ship both Blackwell and Rubin systems in the future.

Supply Chain Context

Nvidia noted it is currently experiencing certain supply constraints. The scale and complexity of producing data center systems have caused delays in production and challenges in managing supply and demand.

The company warned that these factors could lead to revenue volatility, quality issues, increased inventory provisions, decreases in product yields, and higher material costs.

Strategic Commitments

To secure inventory and capacity for the next several years, Nvidia entered into significant commitments. The company may continue entering into manufacturing and supply agreements for both current and future products while expanding its supplier base.

Demand estimates for its products can be inaccurate, creating volatility in revenue or supply levels.

How might the simultaneous production of Blackwell and Vera Rubin systems exacerbate current supply chain bottlenecks and impact delivery timelines for hyperscale customers?

Given the $40 billion revenue opportunity per gigawatt, what specific infrastructure or energy constraints could limit the actual deployment rate of Vera Rubin systems in the coming years?

What strategies is Nvidia employing to mitigate the risk of revenue volatility and inventory provisions as it expands its supplier base to meet unprecedented demand?