Home / Companies / Modular / Blog / Post Details
Content Deep Dive

Modular at NVIDIA GTC 2026: MAX on Blackwell, Mojo Kernel Porting, and DeepSeek V3 on B200

Blog post from Modular

Post Details
Company
Date Published
Author
Modular Team
Word Count
823
Company Posts That Month
8
Language
English
Hacker News Points
-
Post removed?
No
Summary

At the NVIDIA GTC 2026 event in San Jose, the Modular team is showcasing several innovative projects, including the FLUX image generation on a DGX Spark using the MAX framework, which facilitates a complete diffusion pipeline with live demos at Booth #3004. They are also demonstrating the process of porting NVIDIA's CUTLASS Blackwell conv2d kernel from CUDA C++ to Mojo, achieving impressive performance gains with fewer lines of code, thanks to Mojo's structured kernel architecture and AI-assisted development tools like Cursor and Claude. Additionally, the team is presenting DeepSeek V3 on NVIDIA B200 GPUs via Modular Cloud, emphasizing efficient GPU utilization, reduced latency, and scalable deployment, all controlled through their proprietary MAX and Mojo technology stack. Attendees can engage with the team for in-depth discussions on various topics, including compilation and kernel optimizations, and are invited to an Inference Happy Hour for networking with AI founders and builders.

Trends Found in this Post

No tracked trend matches for this post yet.

Use This Data

Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.