Anu Srivastava

Anu Srivastava is a senior technical marketing manager who focuses on NVIDIA’s lighthouse AI model collaborations. She works with key partners and foundations to enable NVIDIA accelerated platform support for the open source developer ecosystem. Prior to NVIDIA, she worked at Google for over a decade in various engineering and management roles and holds a degree in computer science from the University of Texas at Austin.
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Posts by Anu Srivastava

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Agentic AI / Generative AI Jun 10, 2026

Run DiffusionGemma on NVIDIA for Developer-Ready, High-Throughput Text Generation

Developers building real-time AI—such as chat assistants, copilots, and agentic workflows—are often constrained by token-by-token generation speed. This... 4 MIN READ
Agentic AI / Generative AI May 28, 2026

Run Step 3.7 Flash on NVIDIA GPUs with Enterprise-Ready Multimodal AI

AI applications are moving beyond text generation to multimodal systems that can perceive, search, and reason across images, documents, video, and... 3 MIN READ
Agentic AI / Generative AI Apr 24, 2026

Build with DeepSeek V4 Using NVIDIA Blackwell and GPU-Accelerated Endpoints

DeepSeek just launched its fourth generation of flagship models with DeepSeek-V4-Pro and DeepSeek-V4-Flash, both targeted at enabling highly efficient... 6 MIN READ
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Agentic AI / Generative AI Apr 11, 2026

MiniMax M2.7 Advances Scalable Agentic Workflows on NVIDIA Platforms for Complex AI Applications 

The release of MiniMax M2.7 adds enhancements to the popular MiniMax M2.5 model, built for agentic harnesses,... 4 MIN READ
Agentic AI / Generative AI Apr 02, 2026

Bringing AI Closer to the Edge and On-Device with Gemma 4 

The Gemmaverse expands with the launch of the latest Gemma 4 multimodal and multilingual models, designed to scale across the full spectrum of deployments, from... 6 MIN READ
Agentic AI / Generative AI Feb 27, 2026

Develop Native Multimodal Agents with Qwen3.5 VLM Using NVIDIA GPU-Accelerated Endpoints

Alibaba has introduced the new open source Qwen3.5 series built for native multimodal agents. The first model in this series is a ~400B parameter native... 3 MIN READ