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Ashraf Eassa on Muck Rack

Ashraf Eassa

New Hampshire
As seen in: MSN, Business Insider, TIME, USA Today, Yahoo Finance, NVIDIA Blog, NVIDIA Developer Blog, International Business Times (U.S.), Seeking Alpha, Nasdaq and
Data Center Product Marketing @NVIDIA. All opinions are my own.
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Articles

NVIDIA Extreme Co-Design Delivers New MLPerf Inference Records

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By Ashraf Eassa
| NVIDIA Developer Blog
Co-designed hardware, software, and models are key to delivering the highest AI factory throughput and lowest token cost. Measuring this goes far beyond peak chip specifications. Rigorous AI inference performance benchmarks are critical to understanding real-world token output, which drives AI factory revenue. MLPerf Inference v6.0 is the latest in a series of industry benchmarks that measure performance across a wide range of model architectures and use cases.
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New SemiAnalysis InferenceX Data Shows NVIDIA Blackwell Ultra Delivers up to 50x Better Performance and 35x Lower Costs for Agentic AI

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By Ashraf Eassa
| NVIDIA Blog
The NVIDIA Blackwell platform has been widely adopted by leading inference providers such as Baseten, DeepInfra, Fireworks AI and Together AI to reduce cost per token by up to 10x. Now, the NVIDIA Blackwell Ultra platform is taking this momentum further for agentic AI. AI agents and coding assistants are driving explosive growth in software-programming-related AI queries: from 11% to about 50% last year, according to OpenRouter’s State of Inference report.
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3 Ways NVFP4 Accelerates AI Training and Inference Original

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By Ashraf Eassa
| NVIDIA Developer Blog
The latest AI models continue to grow in size and complexity, demanding increasing amounts of compute performance for training and inference—far beyond what Moore’s Law can keep up with. That’s why NVIDIA engages in extreme codesign. Designing across multiple chips and a mountain of software cohesively enables large generational leaps in AI factory performance and efficiency. Lower-precision AI formats are key to improving compute performance and energy efficiency.
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