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‘Now We Can Know Everything and Do Anything,’ Jensen Huang Says at Dreamforce

NVIDIA Blogby Brian Caulfield ()3 min read2 · 2 reads
AI summary · glm-5.3Summaries by Vani AI

Salesforce unveiled Koa, its first CRM reasoning model post-trained on NVIDIA Nemotron 3 Super, announced during Jensen Huang's Dreamforce keynote.

At Salesforce Dreamforce, NVIDIA CEO Jensen Huang joined Marc Benioff onstage as Salesforce announced Koa, its first CRM reasoning model, post-trained from NVIDIA Nemotron 3 Super using NeMo RL, NeMo Gym, and NeMo AutoModel. Koa was fine-tuned on a proprietary synthetic dataset drawn from nearly three decades of enterprise CRM deployments across 14+ industries, with no customer data used in training or inference. On Salesforce's CRM Bench of real-world tasks, Koa matches or exceeds leading model performance on CRM actions with 3x fewer errors. Koa already powers an employee agent in Slack, enters customer pilots in October with Formula 1, UChicago Medicine, Baxter Credit Union, 1-800Accountant, Engine, and Xero, and reaches general availability in Winter 2026 in U.S. regions.

Key facts
  • Salesforce Koa is its first CRM reasoning model, built on NVIDIA Nemotron 3 Super
  • Post-trained with NeMo RL/Gym/AutoModel on synthetic data; no customer data used
  • Matches or beats leading models on CRM Bench with 3x fewer errors
  • Pilots with Formula 1, UChicago Medicine, Xero start October; GA Winter 2026
  • Huang called AI safety an engineering problem and 'job one'
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From the original article

3 min read at blogs.nvidia.com

Know everything. Do anything. That was the message NVIDIA founder and CEO Jensen Huang brought to Salesforce Dreamforce Tuesday, joining CEO Marc Benioff onstage in an appearance that coincided with the announcement of Koa — Salesforce’s first CRM reasoning model, built on NVIDIA Nemotron 3 Super.

NVIDIA Blog

By Brian Caulfield · blogs.nvidia.com

Read the full article at NVIDIA Blog

A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.