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.
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Posts by Ivan Goldwasser

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AI Platforms / Deployment Sep 05, 2025

Accelerate Large-Scale LLM Inference and KV Cache Offload with CPU-GPU Memory Sharing

Large Language Models (LLMs) are at the forefront of AI innovation, but their massive size can complicate inference efficiency. Models such as Llama 3 70B and... 7 MIN READ
Data Center / Cloud May 20, 2025

NVIDIA 800 VDC Architecture Will Power the Next Generation of AI Factories

The exponential growth of AI workloads is increasing data center power demands. Traditional 54 V in-rack power distribution, designed for kilowatt (KW)-scale... 8 MIN READ
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Data Center / Cloud May 18, 2025

Integrating Semi-Custom Compute into Rack-Scale Architecture with NVIDIA NVLink Fusion

Data centers are being re-architected for efficient delivery of AI workloads. This is a hugely complicated endeavor, and NVIDIA is now delivering AI factories... 7 MIN READ
AI Platforms / Deployment May 18, 2025

NVIDIA ConnectX-8 SuperNICs Advance AI Platform Architecture with PCIe Gen6 Connectivity

As AI workloads grow in complexity and scale—from large language models (LLMs) to agentic AI reasoning and physical AI—the demand for faster, more scalable... 5 MIN READ
Data Center / Cloud May 16, 2025

Building the Modular Foundation for AI Factories with NVIDIA MGX

The exponential growth of generative AI, large language models (LLMs), and high-performance computing has created unprecedented demands on data center... 6 MIN READ
Data Center / Cloud Mar 11, 2025

Efficient ETL with Polars and Apache Spark on NVIDIA Grace CPU

The NVIDIA Grace CPU Superchip delivers outstanding performance and best-in-class energy efficiency for CPU workloads in the data center and in the cloud. The... 7 MIN READ