🚨🚨🚨 Veo 3 by Google, world's most advanced video generation model, is now available FIRST on fal! Try it TODAY THIS IS NOT A DRILL! fal.ai/models/fal-ai/veo3/pl…

when i came to sf, 20% of the people i talked to were using windsurf. now its like 50%

All my AI startups are powered by @FAL so I invested in them They're one of the nicest people to work with, extremely fast inference times but also extremely fast support The founders are Turkish and now I have a special thing for 🇹🇷 Turkey and wanna visit Istanbul, hard working people that don't tolerate bullshit, I like it The business case for FAL seems real, I tried setting up my own GPU server on @LambdaAPI, it's fun and I got quite far installing Claude Code and letting it do everything But you still get stuck pretty fast, it's a lot of work to manage the layer between GPU and actually getting an AI model to output something fast while being able to scale up on demand (remember other startups with their "Queued" problems when you try run a job) So FAL has its role, it backs a lot of the AI apps you use because the founders want to focus on building useful apps, not mess around with GPU servers

Today, we're thrilled to announce our $125M Series C funding round at a $1.5B valuation, led by Meritech Capital, marking our third successful raise in just 12 months! fal’s Generative Media Cloud now powers tens of thousands of applications, supporting over two million developers and more than 300 enterprise customers. From initial prototypes to fully scaled production, we've become the essential infrastructure enabling some of the most innovative and creative work in the industry. Over the past year alone, we've experienced extraordinary growth—averaging 40% month-over-month, consistently exceeding our own ambitious projections. Each month, hundreds of thousands of new developers and thousands of fresh applications join our platform, unlocking entirely new use cases previously thought impossible. With this latest round of funding, we're significantly scaling our engineering, support, sales, and marketing teams to keep pace with the accelerating demand and enthusiasm from our community. Our vision has always been clear: build a generative media platform that effortlessly creates dynamic, real-time content across video, audio, image, and 3D. Thanks to our incredible team, dedicated partners, and visionary customers, that's precisely what fal delivers today—empowering creativity at unprecedented scale.

🚨FLUX.1 Kontext [dev], the open image editing model, is now available at fal with training capabilities! ✨4x faster inference (2s vs 7s) 💰 Ultra-affordable at $0.025/megapixel 🔧 Full LoRA training support 🖌️Game-changing image editing capabilities fal.ai/models/fal-ai/flux-ko…

We at @fal are sponsoring PyTorch Conference'2024! We are big users of torch here, and are continuing to push the frontiers of the provided tooling with PT2

Introducing the AI Futures Fund, a new program where startups can work with us to build the future of AI technology. From early access to @GoogleDeepMind models to Cloud credits, we’ll help get your startup to the next level. Learn more and apply ⬇️ labs.google/aifuturesfund

Hunyuan Video model is now 4x to 5x faster on @fal without compromising any quality! We are also reducing the price to $0.4 per video! fal.ai/models/fal-ai/hunyuan… We want the whole community to experience the thrill use this coupon to run the model for up to 30 times fal.ai/?coupon=hunyuan

Meta forecasted it would make $1.4T in revenue from generative AI by 2035 | TechCrunch techcrunch.com/2025/04/30/me…

Morning. On today’s show: – LLM’s use far less water + energy than we thought Guest lighting-rounds: – @chaselochmiller (Crusoe) – @FilArons (Dirac) – @gorkem (Features & Labels) – @sudheenair (TinyFish) – @joulee (Sundial) – @gabriel_whaley (MSCHF) – @FoundersPodcast (David Senra) – @jakobdiepen (Disciplus Ventures) See you all on the stream.

Hold on to your seats! Announcing Flux - a text to image model from @bfl_ml, the original team behind Stable Diffusion.

the feeling when your hand written kernel is 2ms faster than triton 😎

⚡️ We have made FLUX.1 [dev] and [schnell] 2x faster. And it truly is world's fastest! We don't use any diffusion caching techniques or any extra quantization, it is the same FLUX.1 [dev] experience you love and use! Try it today, with streaming: fal.ai/models/fal-ai/flux-1/…

Text is only one interface with AI, we are going to see a lot of new user experiences soon. I had some fun with this demo that lets you edit images by just drawing (badly). fal.ai/dynamic

I've created a @fal workflow where you can apply many styles simultaneously using flux-kontext. ✨ You can clone this workflow and easily modify it. 👉🏻 fal.ai/workflows/aykutkardas…

Back in 2022 at @fal, we built our own lazy environment packing format specifically to optimize container startup times (we knew the workloads were going to be very diverse, and there was a GPU crunch so scaling to 0 and scaling back up fast when there is demand was key). The initial implementation used a custom archival filesystem to make stat() calls almost free by storing metadata at the front of the archive and enabling lazy file pulls with fast seeked reads. Since then we've shipped a bunch of cool improvements (probably forgetting some, but here are the main ones): - Hierarchical caching: We run 10-20 regions with thousands of host nodes. Local SSD caching is great, but leveraging peer nodes with 100 Gb network access (vs public internet/blob storage at 10 Gb) is even better. Now it's local nvme → peer nodes → S3 fallback. - Overlayfs for diff builds: We call this "Environment hopper" internally. The insight is everyone needs the same core dependencies, so we build on top of common base archives using overlayfs to save diffs and heavily compress them. Cache reuse rates are through the roof. - uv by @astral_sh for environment builds: We seriously considered writing our own package manager since downloading torch and other heavy packages is painfully slow with pip. uv was a total lifesaver. Should probably write a proper deep dive on this at some point - there's so much cool stuff in building domain-specific environment packing with high cache utilization and fast cold starts as the target.

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We are thrilled to announce the release of the AI Video Starter Kit by @fal in partnership with @bfl, @LumaLabsAI, @genmoai, @TXhunyuan, @Hailuo_AI, @Kling_ai, @synclabs, @play_ht, @LTXStudio, uploadthing by @theo and @vercel. AI Video Starter Kit is an open source in browser editor for AI video.

We’re thrilled to announce that fal has acquired @Remade_AI, a YC-backed startup building advanced tools for generative media creation. The Remade team has pushed the boundaries of AI creativity, from building an intelligent canvas for marketing teams, to open-souring video LoRAs used by thousands of creators and developers. They are joining fal to help accelerate the next generation of creative infrastructure for developers around the world. Welcome to the team @BlendiByl, @Christos_antono, @rehan_shei and @alexgmatt. It’s amazing to have you on board!

taking real time AI to the next level, camera as input at 30+fps try it yourself here fal.ai/camera sound on 🎶

Reaching the scale to host your own conference is a massive milestone for a company. Since @fal’s inaugural Generative Media Conference is this Friday, I sat down with @gorkem to dig into the last 3 years of their journey. Their 10/24 conference has an insane speaker lineup with lots of real-world use cases of generative media in action. The preview video below is just one example (we used fal’s platform to create all the visuals). Aside from the fun we had turning me into George Clooney and making a giant 3-ton Roomba cat destroy our podcast studio, what stood out was how far all of these models have come in the last few years -- and how easy it is to get started with fal and play around so many different options. There’s a ton of interesting technical optimizations and developer-focused decisions that made that experience possible, so it was great to hear Gorkem unpack all of their unique company and product building choices. One of the more interesting ones that they hardly ever talk about is their pivot (when I invested back in 2022, it was a completely different product for data teams), so it was fun to get into that story as well. Full conversation below, hope you enjoy it!

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