Last week, we launched the RadixArk platform for beta testing and offered $200 credits to SGLang supporters who helped spread the word. A huge thank you to everyone who signed up and reposted. The response has been incredible. We're working hard to get everyone set up, and we appreciate your patience while we work through the queue. Here's what's coming: ✅ Private Beta access rolling out in waves ✅ $200 in inference credits, pre-linked to your waitlist email Credits will be available in your account as soon as your platform invite arrives. Thanks for all the miles. Stay tuned for what comes next！

If you haven’t had an Indian mango and like mangoes, go have a kesar or Alfonso, your mind will be blown Once you’ve done that, you can expand to others like langda, gulabkhaas etc etc. The sky is the limit

RT @dr_alphalyrae: Indian people have perfected mangoes for over 4000 years of selective breeding. With 1k known variants, and key commerc…

thinking machines is using SGLang btw

Real-time interaction requires a real-time engine. ⚡️ Huge congrats to @thinkymachines on this beautiful work on interaction models. AI that listens, watches, and thinks alongside people in real time. SGLang is honored to be part of the stack, and grateful you upstreamed streaming sessions back to the project for everyone to build on. 🙏

Amazing work from the @sgl_project and @radixark team for their work optimizing DeepSeek V4 inference on B200, B300, and the recent 4x iso-interactivity throughput improvements on GB300 by @ChengWan17! As @elonmusk said, The GB300 is the best AI computer, and software optimizations like this show its true potential!

If you want to know how tremendous they are, check these free tutorials RL: youtu.be/3lr4ohRy5dQ?si=dNb4… DeepSeek SGLang: youtu.be/I-A_yaUXK2E?si=52RI…

We've heard the community's feedback. Our intent was to make sure the credits reached the people who supported SGLang along the way, and we couldn't be here without you. We're updating the offer to better reflect that. RadixArk's platform is open for beta, and we're offering $200 in compute credits to get you started → Sign up at platform.radixark.com and repost this so we can get you set up. → Limited spots, first come first serve. Open through May 13, 2026 (AoE). → Credits will be granted after we verify the repost. (If you already reposted our earlier announcement, that counts too; no need to do it again.) And if SGLang has been useful in your work, consider giving it a star on GitHub. It's a small gesture that means a lot to the people maintaining it. We're in this together, and we're grateful to be building it with you 🧡

Reliable, efficient, and correct AI infrastructure has been one of the biggest challenges in creating Periodic. That’s why I’m excited to see RadixArk bring serious capital to open-source infrastructure like SGLang. When that layer gets stronger in the open, companies like Periodic can move faster, and the new wave of companies can take on ambitious work that used to require a large-scale infra team from day one.

Congrats to @BanghuaZ @ying11231! One of the strongest teams out there for open AI infrastructure.

🚀 the @radixark team has already contributed a lot to open source infra - excited to see what they do next

sglang is the best inference framework out there. RadixArk was formed to make it even better and to democratize more of the frontier AI stack. Very happy to support the team in their seed round.

Thrilled to be working with RadixArk — recent addition to the NVIDIA Ventures portfolio

RadixArk has raised $100 million at a $400 million valuation for a software engine and framework that make inference and training more efficient to run. on.wsj.com/4ntrVbb

For years, the most cutting-edge AI infrastructure has been concentrated inside a handful of frontier labs. Advances like test-time reasoning, reinforcement learning, and the rise of high-quality open source models are changing this dynamic. This shift creates a new opportunity to build foundational infrastructure for operating AI models—an open inference engine combined with flexible systems that give developers full control over how models are trained and deployed. That's exactly what @radixark is building. We are proud to back founders @ying11231 and @BanghuaZ, who have a long track record of creating and maintaining some of the most widely adopted open source projects in AI. Read more from Accel's @ivzhou and Joshua Fang, including what's next from RadixArk: accel.com/noteworthies/inves…

Thank you, Arpan, and whole Spark team! Your early conviction means a lot to us.

We @Accel are excited to be leading @RadixArk’s $100M seed round alongside our friends at @sparkcapital. It’s been a privilege to partner with @ying11231 and @BanghuaZ since inception and to support the incredible @lmsysorg community. Intelligence is no longer the bottleneck! Developers are now constrained by their ability to control, adapt, and reliably serve a growing diversity of AI models across hardware, environments, and use cases at scale. This shift creates an opportunity to build new foundational infrastructure for training and inference. RadixArk’s mission is to build that open infrastructure, and we’re excited to be their partners on the journey.

Congrats @radixark ! From SGLang @lmsysorg to Miles, and to future products, RadixArk is dedicated to building a crucible capable of repeatedly producing cutting-edge AI, bringing the best of AI into every household. We believe in a future of AI diversity and hope to drive the integration of AI into every aspect of production and daily life. In the future we envision, AI will become a partner to many companies and individuals, finding ways to self-evolve—in production, in daily companionship, and within virtual worlds. Everything we have experienced and will continue to experience in the SGLang and Miles open-source communities is unforgettable and highly anticipated. It has been both demanding and exhilarating, allowing us to see friendship, the world, and the boundaries. Over the past six months, I have witnessed for the first time how a united team moves forward hand in hand, and how deeply passionate they are about creation. Each of us has taken on our respective roles and numerous new tasks for the first time; we are all stepping out of our comfort zones, growing, and creating at a rapid pace. "It’s the step-by-step journey of a thousand miles that has carried us here today, and the same relentless march that will lead us into the tens of thousands of miles yet to come." In an era where AI has made ordinary productivity cheaper, relentless, day-to-day refinement has increasingly become the rare key that drives innovation and the future. We hope this will forever remain the soul of RadixArk's culture: focused, uncompromising, humble, and fearless. The underlying logic of creation is not the deliberate pursuit of novelty, but rather independent thinking that remains unswayed by temptation, paired with a meticulous drive for perfection.

Excited to launch RadixArk officially today! I have spent the past half year working with RadixArk and the SGLang community, and it has been the most rewarding experience I have had. RadixArk, and the SGLang community, has a very unique engineering culture. The code and the system have the final say. Feedback is direct because everyone trusts the intent. There is very little hierarchy around ideas, and good technical judgment matters more than title or seniority. With a high bar and fast feedback loops, people grow incredibly quickly. In many places, you spend most of your time looking at one company’s stack. Here, through SGLang community, we get to see the forest, not just the trees: many labs, companies, hardware platforms, workloads, and real production systems. There is a lot of exciting work ahead across inference, training, RL, orchestration, kernels, multi-hardware, and many real-world systems problems in between. If you love coding, enjoy building real systems, and want to work on the full AI stack from inference to training, come join us at RadixArk. This is just the beginning.