World Congress 2026 North America • Sep 25, 2026 • Session details

The State of Local AI in 2026

By 2026, the cloud-only AI paradigm will be obsolete. Discover how open-weight models and dynamic quantization are making powerful local inference the default for secure enterprise workflows.

The State of Local AI in 2026 thumbnail

Checking access…

Playback and chapters load privately for Free videos.

Matching moments

48 sec

Shifting artificial intelligence models to local smartphone hardware

Chris Heilmann

Chris Heilmann +1 · LIVE

2:26 min

Cost and latency pressures pushing AI to the edge

Moe Sani

Moe Sani · World Congress 2026 Europe

1:45 min

Transitioning from API consumers to on-device AI builders

Sasha Denisov

Sasha Denisov · World Congress 2026 Europe

1:49 min

Why developers should run AI models locally

Cedric Clyburn

Cedric Clyburn +1 · World Congress 2025

6:28 min

The hardware accessibility gap for local AI processing

Idan Gazit · Coffee With Developers

2:12 min

Distilling cloud AI capabilities into local device models

More from World Congress 2026 North America

2026 in LLMs (so far) thumbnail

2026 in LLMs (so far)

Simon Willison

Running Operations Without Humans in the Loop thumbnail

Running Operations Without Humans in the Loop

Edward Aryee, Ryan Ries, Yaron Schneider, Chris Hallenbeck, Floriane Gramlich

Beyond the Code: Human-AI Synergies in Product Development thumbnail

Beyond the Code: Human-AI Synergies in Product Development

Ajita Kanchivakam Ananth

Honey, look! I vibe-coded an OS! thumbnail

Honey, look! I vibe-coded an OS!

Ian Smith

The Productivity Illusion: What AI Really Changed for Developers thumbnail

The Productivity Illusion: What AI Really Changed for Developers

Fatih Kadir Akın

Your Evals Passed. Your Agent Just Emptied a Database. thumbnail

Your Evals Passed. Your Agent Just Emptied a Database.

Tejas Pravinbhai Patel

Related videos

Future of Mobile AI. What On-Device Intelligence Means for App Developers thumbnail

World Congress 2026 Europe • 3 months ago

Future of Mobile AI. What On-Device Intelligence Means for App Developers

Sasha Denisov

Edge AI on iOS: Beyond the Cloud, Designing the Next Generation of Intelligent On-Device Apps thumbnail

World Congress 2026 Europe • 3 months ago

Edge AI on iOS: Beyond the Cloud, Designing the Next Generation of Intelligent On-Device Apps

Precious Osaro

Localized Open Models in Production: What Builders Need to Know thumbnail

World Congress 2026 Europe • 3 months ago

Localized Open Models in Production: What Builders Need to Know

Ankit Patel, Pierre-Louis Cedoz, Jamie Madden, Stephen Batifol

Self-Hosted LLMs: From Zero to Inference thumbnail

World Congress 2025 • about 1 year ago

Self-Hosted LLMs: From Zero to Inference

Cedric Clyburn, Roberto Carratalá

Edge AI: Running Agentic Intelligence Where Internet Can't Reach thumbnail

World Congress 2026 North America • 12 days ago

Edge AI: Running Agentic Intelligence Where Internet Can't Reach

Nitin Eusebius

RTX AI PC: Developing local and edge AI applications thumbnail

World Congress 2026 Europe • 3 months ago

RTX AI PC: Developing local and edge AI applications

Joerg Krall

Related articles

DC

Daniel Cranney

Stephan Gillich - Bringing AI Everywhere

In the ever-evolving world of technology, AI continues to be the frontier for innovation and transformation. Stephan Gillich, from the AI Center of Excellence at Intel, dove into the subject in a r...

almost 2 years ago

Stephan Gillich - Bringing AI Everywhere

BB

Benedikt Bischof

MLOps And AI Driven Development

Welcome to this issue of the WeAreDevelopers Dev Talk Recap series. This article recaps an interesting talk by Natalie Pistunovic who spoke about the development of AI and MLOps. What you will lear...

over 4 years ago

MLOps And AI Driven Development

MH

Michael Hunger

N

Neo4j

Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?

After a few intense years of building with AI, many teams are asking the same question: Where is the ROI? We’re shipping chatbots, copilots, and agents . But: Agents aren’t autonomous enough to ow...

9 months ago

An abstract image of nodes representing a graph database

BB

Benedikt Bischof

MLOps – What’s the deal behind it?

Welcome to this issue of the WeAreDevelopers Live Talk series. This article recaps an interesting talk by Nico Axtmann who introduced us to MLOpsAbout the speaker:Nico Axtmann is a seasoned machine...

about 4 years ago

MLOps – What’s the deal behind it?

From learning to earning

Jobs that call for the skills explored in this talk.

Principal Software Engineer, AI Inference Cloud

Seattle, WA, United States

Expert $262k Pytorch TensorRT Kubernetes

Staff Software Engineer, AI Inference Cloud

Seattle, WA, United States

Expert $209k–282k Pytorch TensorRT Kubernetes

Principal Software Engineer, AI Inference Runtime

Seattle, WA, United States

Expert $262k Compilers Low Latency Concurrency

Staff Software Engineer, AI Inference Runtime

Seattle, WA, United States

Expert $209k–282k Compilers Low Latency Concurrency

about 2 months ago • Verified

LLM Training Engineer

San Francisco, United States

Expert $155k–220k Python

about 2 months ago • Verified

ML Engineer

San Francisco, United States

Expert $165k–210k Python