dstack

Infrastructure orchestration is becoming an agent skill. When agents run experiments, training, and eval autonomously, they now can provision compute, schedule workloads, and track state, all inside the loop. New post on what this means for platform teams, providers, and the orchestration layer dstack.ai/blog/agentic-o…

Thanks to everyone who joined us at GPU Night: AI Infra @ GTC with @makora_ai , @dstackai , and @AMD in San Jose. It was a strong mix of technical talent, industry insight, and real perspective from across the AI stack. Appreciate everyone who spent the evening with us.

It was the best one!

This was my favorite event during GTC. It’s very clear the spirit of Beyond CUDA is strong and people are ready for it more than ever!

dstack 0.20.13 is out ⚡️ Big update: SSH fleets can now be exported and shared across projects, making it easier for teams to reuse GPUs across on-prem clusters instead of leaving capacity locked to a single project. Also shipping in 0.20.13: * @CrusoeAI H200/B200 support for InfiniBand clusters * Per-project Launch Wizard templates Release notes: github.com/dstackai/dstac…

Excited for GPU Night at GTC tomorrow in San Jose. ✨ We’re bringing together AI infra builders to talk GPUs, clusters, and the full stack behind running AI in production. Glad to have @AMD joining as a co-sponsor alongside @dstackai @makora_ai @tensorwave! RSVP: luma.com/1sgm9q5d

GPU Night meetup in San Jose! Meet engineers and researchers working on training infrastructure, inference stacks, and GPU clusters. Come hang with @dstackai, @makora_ai, @tensorwave, @amd and friends. 🧬 🦈 🌊 🔴⚡ 👋 luma.com/1sgm9q5d

We are on the ground at @NVIDIAGTC, and this week is stacked. Find us here: @AristaNetworks + TensorWave Happy Hour 📅 Wednesday, March 18 | 5:30-7:30pm 📍Save your spot: na2.hubs.ly/H04kC9b0 GPU Night AI Infra @ GTC with @makora_ai , & @dstackai 📅 Wednesday, March 18 | 6-9pm 📍Get on the list: na2.hubs.ly/H04kFZS0 Want to meet with us directly while we’re in town? Set up a meeting: na2.hubs.ly/H04kzgV0

Join our GPU Night meetup at NVIDIA GTC 🔥 We're organizing an invite-only gathering for engineers and researchers working on training infrastructure, inference stacks, and GPU clusters. Hosted by the teams behind @dstackai, @makora_ai, and @tensorwave. See you there! RSVP: luma.com/1sgm9q5d

dstack + @CrusoeAI = one declarative control plane for GPU clusters. Provision GPU clusters, run distributed training, and deploy inference endpoints on Crusoe, without managing Kubernetes or custom provisioning scripts. Read the full guide: crusoe.ai/resources/blog…

@CrusoeAI Sharing SSH fleets across projects is now supported via exports 👇 dstack.ai/docs/concepts/…

What it looks like to run @dstackai on @CrusoeAI: crusoe.ai/resources/blog…

Agentic RL likely needs a different orchestration stack. Today rollout, training, eval, and serving mostly sit around the loop. Real agent systems need them inside it. If you’re running into this, let’s talk.

With @dstackai, it takes about 5 minutes to deploy @Alibaba_Qwen 3.5 27B on your GPU cloud (I used my @nebiusai account), connect it to local @opencode, and spin up @openclaw in the same cloud — with the gateway forwarded to localhost. 👇 dstack apply -f qwen-3.5-27b.dstack.yml 1/7

AX is the new UX. AI is the new UI.

We’re excited to co-host this. Don’t forget to add this one to your calendar. Click the link for more info: luma.com/1sgm9q5d

Our only hope is that they won’t go Kubernetes. Humankind deserves better!

@twtayaan Just know, there is a better way

When you are the only Kubernetes expert in the company and you are summoned