David Dorman

Gam ve gam. marketing/growth @modal. similar stuff before @grafana @digitalocean

A-22351

[David Dorman @ddorman]

👋 Two big updates:

(1) After 5.5 years, my time @grafana has come to an end.

(2) And on Monday, I officially started @modal as VP of Marketing/Growth...

🥹 First…..Grafana. There’s a lot to say....

[peri langlois @perilanglois]

what is "actually open AI"?? what does it all mean

we made a little documentary to talk about it, come check it out

[Modal @modal]

How does a large, global company like @DoorDash enable its product teams to build with AI quickly, but also safely and securely?

DoorDash’s GenAI platform team helps engineers across the company build products securely with AI, while leaving room to tinker and experiment. They get access to production-ready model APIs and can run batch jobs, online apps, and agents, while still maintaining the level of governance, performance, and security DoorDash requires.

[Modal @modal]

Kimi K3.1 Pro from @Kimi_Moonshot is now available on Modal.

A major post-training update to Kimi K3, with expanded reinforcement learning for stronger coding, financial research, and long-horizon agentic work.

Kimi K3.1 Pro supports text and images with 1M context.

[Modal @modal]

And we added first-class support for post-training Beam yourself.

Get started with Modal Dojo now: https://t.co/Pd4NOcRWlG

[David Dorman @ddorman]

@blelbach @modal 👋

[Bryce, the CUDA Colonel @blelbach]

The REAL reasons I joined @modal:

- Cool logo in my Twitter handle.
- Compatible with my green wardrobe from @nvidia.
- Unlimited GPU credits and tokens.
- @charles_irl's hair.

[peri langlois @perilanglois]

https://t.co/aeKv6HjZEf

[David Dorman @ddorman]

@radhigulati @modal 💚

[Erik Bernhardsson @bernhardsson]

Great to be back on Unsupervised Learning with @jacobeffron and @patrickachase!

We talked about the day-to-day knife fighting of getting GPUs, why we contribute a lot to open source, and how our most experienced engineers are the biggest agent-maxxers.

[David Dorman @ddorman]

@f_makraduli @modal @thsottiaux 💚

[Filip Makraduli @f_makraduli]

So a career update: I've joined @modal leading Developer Relations in Europe!

To celebrate, I won't do resets like @thsottiaux but I'll do one better, and give out free Modal credits.

Tell me what you're building with @modal in Europe and I'll pick a few projects to fund!

[Modal @modal]

Students shouldn’t have to scale down their research ideas because they can’t get access to compute.

The @generalcatalyst Research Fellowship will support 20 undergraduates with up to $25K in compute from Modal to power their most ambitious ideas.

We're excited to see what you build!

[Modal @modal]

We recently announced that Modal has crossed $1B in annualized run rate, as well as raised a $750M Series D at a $15.75B valuation.

Our CEO and co-founder @bernhardsson stopped by @NYSE to share more about what's being built on Modal today and what's next for the company post-fundraise...

[Modal @modal]

DeepSeek v4.1 Flash 1017 from @deepseek_ai is now available on Modal. An update of DeepSeek v4.1 Flash, it improves substantially on reasoning, coding, agentic tasks, and visual understanding.

[Modal @modal]

.@WeAreLegora runs 2,000 agent evals in parallel on Modal Sandboxes, testing a legal agent that works for hours across thousands of documents.

Every run boots the entire application, pinned to a specific commit, so engineers can measure the impact of their changes in a realistic environment.

[Modal @modal]

We worked with @SakanaAILabs to optimize their Sakana Namazu API down to the kernel level:

→ Selective NVFP4 quantization (23k+ experts)
→ DFlash draft model trained on raw token streams (+25% acceptance)
→ In-house prefix KV routing + serverless autoscaling

[Modal @modal]

You can give your @livekit agent a video avatar with open-weight models running on Modal.

We used ours to clone @charles_irl, our GPU Enjoyer in Residence.

[Modal @modal]

Tinker changed how people do post-training. We're big fans, and so are many of the teams we work with. But as those teams scale up, they keep raising the same two problems: per-token pricing gets expensive quickly, and you’re limited to the models and features the provider decides to support.

We think a good API deserves more than one implementation.

Today we're releasing Spindle, an open-source, Tinker-compatible training server that runs in your Modal workspace. Your existing Tinker scripts run unchanged, and because you own the server, you pay for GPU time instead of tokens.

[Modal @modal]

Performant reinforcement learning is a hard infrastructure and research problem. We’ve recently made on-demand multi-node clusters available and showed how to take advantageous of heterogeneous sampling compute. But there still exists the need for high-fidelity environments, clear and robust reward functions, and tuned training recipes that actually work.

Most teams are actually nearly there! With an agent harness deployed in production and evals/agent traces collected from that deployment, you just need an easy way to start training your data. So we built a training library that gives you the building blocks, tuned defaults, and observability you need for easy, production-grade LLM training.

It’s available now. All it takes is a prompt.

[Garrett O'Brien @gareofeasttown]

If you're using open weight model APIs in prod, I'd like to talk with you about your workflow!

Model discovery, evals, traffic shapes & scale reqs, etc.

[email protected]