MLOps World | GenAI Summit

7th annual gathering of AI, agentic, and ML practitioners who learn, share, and advance AI excellence in production. Nov 17-18 | Austin, TX

[MLOps World | GenAI Summit @MLOpsWorld]

Not all software factories are built the same.

Michael Perry at Improving is running an amazing workshop at our Austin, Hands-on workshop day, Nov 19th.

Join us for this workshop here: https://t.co/sLe3wTxKEO

[Anne T. Griffin @annetgriffin]

Headed to Austin next week for my talk on driving better outcomes with open weight AI models. @MLOpsWorld Austin is Nov 17-18, and I’ll be talking about why using open weight models isn’t just ACP it cost.

If you’re in Austin and want to attend, DM me. I can get you a guest rate.

https://t.co/kelu3T8MGU

[MLOps World | GenAI Summit @MLOpsWorld]

What’s the difference between a model that runs on your laptop and one that serves traffic?

We’re thankful to have Runpod pushing this conversation this year. They are a Silver sponsor for MLOps World | GenAI Summit Austin.

📅 November 16 to 19 https://t.co/8xuff7RbuC

[MLOps World | GenAI Summit @MLOpsWorld]

Are you PR code reviews cued up around the block?

How did DraftKings Inc. address this?

MLOps World Austin Wednesday, November 18, 12:05 p.m. https://t.co/8xuff7QDF4

[MLOps World | GenAI Summit @MLOpsWorld]

Ankit Goyal is Principal Staff Engineer at LinkedIn, technical lead for Machine Learning Infrastructure and lead architect for the company’s AI Training Platform.

He’s speaking at MLOps World | GenAI Summit. https://t.co/8xuff7QDF4

[MLOps World | GenAI Summit @MLOpsWorld]

AI-assisted development tools can now quickly produce working software that once took months to handcraft.

But it has limitations.

AI-Assisted Software Engineering track, MLOps World Austin, Thursday, November 19, 9:30 a.m., workshop day. https://t.co/8xuff7RbuC

[MLOps World | GenAI Summit @MLOpsWorld]

Amir Feizpour is one of Canada’s biggest leaders in the AI community!

The order he teaches is “evidence first”.

He’s sharing the lessons learned for attendees at MLOps World | GenAI Summit, November 19, workshop day. https://t.co/8xuff7RbuC

[MLOps World | GenAI Summit @MLOpsWorld]

Why does an agent that works in development die in production?

Most times, it’s the infrastructure.

This is part of our Speakers Corner, MLOps World | GenAI Summit Austin Tuesday, November 17, 1:15 p.m. https://t.co/8xuff7RbuC

[MLOps World | GenAI Summit @MLOpsWorld]

How can you make a general model measurably better at a specific job?

Come join us, and come meet Sophia!

MLOps World Austin Tuesday, November 17, 2:10 p.m. https://t.co/8xuff7QDF4

[MLOps World | GenAI Summit @MLOpsWorld]

A stronger model cannot recover information it never receives.

Kshetrajna Raghavan (Shopify) built the redesigned system that achieved ~75x lower inference cost and close to 2× improvement on selected quality metrics.

MLOps World Austin, November 17
https://t.co/8xuff7RbuC

[MLOps World | GenAI Summit @MLOpsWorld]

The catch with conversion has always been the retraining bill: with standard approaches it took 33× the token budget

ScaleOp reaches the same quality at 3–18× instead

Ravi Satya Durga Prasad Yenugula (2K Games)
MLOps World Austin, November 18, 2:10 p.m.
https://t.co/8xuff7QDF4

[MLOps World | GenAI Summit @MLOpsWorld]

80% accuracy is a production target, not a ceiling. The remaining 20% is where your guardrails earn their keep.

Suneet Malhotra ( @MotoSolutions ) redesigned the QA pipeline around Claude Code.

MLOps World Austin, November 16, virtual session day
https://t.co/8xuff7QDF4

[MLOps World | GenAI Summit @MLOpsWorld]

https://t.co/2lYPpxFMet supports customers running 12 million or more containers on a control plane that holds no customer data.

That was not the goal.

Niels Bantilan will cover this architecture.

They’re a Silver sponsor for MLOps World Austin
https://t.co/8xuff7RbuC

[MLOps World | GenAI Summit @MLOpsWorld]

Data engineering’s bottleneck has moved.

Infrastructure is no longer the main bottleneck. Meaning and clarity in the data are.

When machines take actions, semantic ambiguity becomes catastrophic.

Joe Reis · MLOps World Austin, November 18, 2:10 p.m.
https://t.co/8xuff7QDF4

[Jake O'Shea @jake_oshea]

It's Hackathon szn in ATX!

Excited to announce the @aitxcommunity x @MLOpsWorld Community hackathon, Oct 26-30 at @AntlerGlobal ATX.

Mon kickoff. Tue-Thu build. Fri Hack Fair demos for judges + 100+ Austin AI builders. Free & application only. Sign up!

https://t.co/9vT6rspM1d

[MLOps World | GenAI Summit @MLOpsWorld]

Instacart cut feature store latency in half by running fewer nodes.

Using Dragonfly’s multi-threaded engine, hundreds of nodes became roughly 100.

This is part of our 7th annual MLOps World | GenAI Summit. Hope you can join us!

[MLOps World | GenAI Summit @MLOpsWorld]

Nalin Dadhich, Senior Machine Learning Engineer, NVIDIA, built the synthetic data that took Cosmos 3 to #1.

→ Big Ideas, Innovations and Creative Explorations track. MLOps World Austin, Tuesday November 17, 2:10 p.m. https://t.co/5H2XXtW26W

[MLOps World | GenAI Summit @MLOpsWorld]

“Alternating between inference sampling and gradient updates creates severe low GPU duty cycles (~40%) during LLM reinforcement learning pipelines.”

→ Hardware and Chips track. MLOps World Austin, Wednesday November 18, 11:30 a.m

[MLOps World | GenAI Summit @MLOpsWorld]

“A leaderboard win is not a product.”

Kalpesh Sutaria (Director, NVIDIA) worked on Nemotron Retriever, which ranks #1 on RTEB but still wasn’t runnable for customer production.

→ Hardware and Chips track. MLOps World Austin
https://t.co/5H2XXtVuho

[MLOps World | GenAI Summit @MLOpsWorld]

In their own words, cost came up more than anything else.

@CoreWeave sits right in the middle of these discussions. They are our Platinum sponsor for MLOps World Austin.

📅 November 16 to 19

→ Details and registration https://t.co/5H2XXtW26W