yes, working at @modal is as fun as it seems.
we are casting 35 more roles across new york, san francisco, and stockholm. one could be yours !
modal.jobs
Inkling, @thinkymachines' first open model, dropped today: 975B total / 41B active MoE, up to 1M context, reasoning natively over text, images, and audio.
Serving and RL support are already live: you can run and shape it on an open stack, starting now.
Day 0 support on SGLang
Inkling by @thinkymachines is now available on Modal, backed by a custom DFlash speculator for 67% higher throughput and interactivity.
Running on Modal Auto Endpoints with SGLang today.
Inkling by @thinkymachines is now available on Modal, backed by a custom DFlash speculator for 67% higher throughput and interactivity.
Running on Modal Auto Endpoints with SGLang today.
Inkling by @thinkymachines is now available on Modal, backed by a custom DFlash speculator for 67% higher throughput and interactivity.
Running on Modal Auto Endpoints with SGLang today.
Today, we are introducing Inkling.
Inkling reasons efficiently across text, image, and audio modalities. We are making the full weights available.
thinkingmachines.ai/news/introduci…
Available today for fine-tuning on Tinker. Play with it in the Inkling Playground. 🧵
Fun conversation with @swyx on our journey building the cloud for true elastic inference, sandboxes, and more. And of course, how we're evolving Modal's dev experience to be better for agents.
Modal's Agent-Native Cloud: DX→AX, sandboxes, elastic inference, and 100,000 rollouts latent.space/p/modal2026@modal CTO @akshat_b explains why developer experience is becoming agent experience, why agents need infra they can operate instead of YAML they have to reason through,
Modal's Agent-Native Cloud: DX→AX, sandboxes, elastic inference, and 100,000 rollouts latent.space/p/modal2026@modal CTO @akshat_b explains why developer experience is becoming agent experience, why agents need infra they can operate instead of YAML they have to reason through,
Join Applied Compute and @modal for an evening in Seoul! We’re hosting an ICML rooftop happy hour for top researchers, PhDs, AI lab scientists, and the people building the future of ML infrastructure and custom models. Come unwind and enjoy one of Korea’s hidden gems with us -
Claude Science has a @modal integration built-in.
Great to see the advantages of Modal as a compute substrate shine through here — fan out, shared storage, reproducible environments, GPU flexibility. Try it out!
The most demanding problems in life sciences need more than a capable model, they need infrastructure that scales.
Today we're announcing our integration with Claude Science, bringing Modal's elastic compute to researchers when they need it.
We're committing up to $100K in
