Ivan Goldwasser

Ivan leads product marketing for the Data Center CPU products for NVIDIA. Previously, Ivan worked in various marketing and strategy roles in the technology sector. Ivan has an MBA from Georgetown’s McDonough School of Business and a bachelor’s degree in chemical engineering from Texas A&M University.
Avatar photo

Posts by Ivan Goldwasser

Generative AI / LLMs

Low Latency Inference Chapter 2: Blackwell is Coming. NVIDIA GH200 NVL32 with NVLink Switch Gives Signs of Big Leap in Time to First Token Performance

Many of the most exciting applications of large language models (LLMs), such as interactive speech bots, coding co-pilots, and search, need to begin responding... 8 MIN READ
Data Center / Cloud

NVIDIA GH200 Grace Hopper Superchip Delivers Outstanding Performance in MLPerf Inference v4.1

In the latest round of MLPerf Inference – a suite of standardized, peer-reviewed inference benchmarks – the NVIDIA platform delivered outstanding... 7 MIN READ
Simulation / Modeling / Design

Spotlight: Petrobras Speeds Up Linear Solvers for Reservoir Simulation Using NVIDIA Grace CPU

Reservoir simulation helps reservoir engineers optimize their resource exploration approach by simulating complex scenarios and comparing with real-world field... 8 MIN READ
Data Center / Cloud

NVIDIA GH200 Superchip Delivers Breakthrough Energy Efficiency and Node Consolidation for Apache Spark

With the rapid growth of generative AI, CIOs and IT leaders are looking for ways to reclaim data center resources to accommodate new AI use cases that promise... 8 MIN READ
NVIDIA Hopper GPU and NVIDIA Grace CPUs on a black background.
Data Center / Cloud

Revolutionizing Data Center Efficiency with the NVIDIA Grace Family

The exponential growth in data processing demand is projected to reach 175 zettabytes by 2025. This contrasts sharply with the slowing pace of CPU performance... 16 MIN READ
An image of the GB200 NVL72 and NVLink spine.
Data Center / Cloud

NVIDIA GB200 NVL72 Delivers Trillion-Parameter LLM Training and Real-Time Inference

What is the interest in trillion-parameter models? We know many of the use cases today and interest is growing due to the promise of an increased capacity for:... 9 MIN READ