AI engs like decade-old Slurm for GPU scheduling, while infra teams push k8s for flexibility. Abridge solved this with SkyPilot: 🧑‍🔬 AI engs focus on AI for healthcare with 10x dev speed up 👷 AI infra teams scale and manage GPU capacity across hyperscalers & neoclouds

Run, manage, and scale AI workloads on any infrastructure! SkyPilot is an open source framework that provides a unified, cloud-agnostic control plane for launching, monitoring, and optimizing AI workloads. 100% Open Source.

The GPU neocloud ecosystem is heating up! Congratulations to @Nebius on their impressive milestone, with Microsoft purchasing $17B worth of GPUs. With the arrival of excellent GPU providers, AI infra needs to become vendor agnostic. @Nebius is one of many great partners

Congrats to Together AI on releasing Instant Clusters! After creating a cluster instantly, how do you utilize the GPUs quickly for AI? SkyPilot is glad to partner with Together AI to offer day-0 integration, enabling AI teams to onboard new GPU clusters from the

Underdiscussed topic: GPUs aren’t the bottleneck. For fast distributed GenAI post-training, network & storage matter as much. By tuning the network and storage on the cloud, Henry Zhu found 10x speedup on Nebius cloud, even with the same GPUs and code. maknee.github.io/blog/2025/Netw…

For individual AI researchers, I highly recommend Nebius cloud computing service because: 1. It is well supported by SkyPilot, a great cloud management framework 2. You can rent a single H100 - crucial for development in relatively-low-resource settings

Really enjoy working with the Nebius team! Both their eng and partnership teams move really fast and are very productive, making Nebius one of the top Neocloud choices in SkyPilot community.

Shopify diversifies its GPU strategy with Nebius. With SkyPilot, their team runs large multi-node jobs on reliable instances and extends workflows across clouds without changing what already works. Testimonial 👇 #GPUcloud #AIInfrastructure

Another great joint forces for running large-scale LLM training! Torchtitan powers the LLM finetuning, and SkyPilot launches and scales it on any of your AI infra, including k8s and clouds!

SkyPilot PyTorch More ways to scale TorchTitan with SkyPilot 🔥 great to see the community expanding the ecosystem with new tutorials like this one!

Agent training using RL, on any compute infrastructure!

Build agents with RL using VeRL, run and scale the training on any infra with SkyPilot! It is as simple as sky launch verl.yaml , and the training now starts on any Kubernetes clusters, or clouds you have. A series of blogs about agent training are coming.

The best ChatGPT that $100 can buy — now on your own k8s/cloud! Run Andrej Karpathy's nanochat (pretrain → finetune → eval → serve) with SkyPilot 🚀 💰 Complete training for ~$100 ⚡ Deploy web UI for ~$2–3/hr 🌐 Run on any cloud or k8s with SkyPilot github.com/skypilot-org/s…

Today’s AWS outage is a reminder that even the biggest cloud providers aren’t immune to failure. That’s one of the reason why we’ve bet on a multi-cloud future. With SkyPilot, easily/automatically switch to another cloud/region with one command -- keep your workloads

multi-region/multi-cloud is not optional, it is necessary. 😿 x.com/michaelvll1/st…

AWS outage is a reminder: single-region is fragile. Modern AI teams demand region & cloud agnostic tooling.🧐 We compared AWS Batch vs SkyPilot for AI. See how SkyPilot offers global GPU scheduling/recovery -- with faster iteration and 11x cost savings: blog.skypilot.co/aws-batch-vs-s…

Come to our booth and chat about how you simplify and scale your AI on any cloud or Kubernetes at #PyTorchCon 🤗

☁️SkyRL now runs seamlessly with SkyPilot! Let SkyPilot handle GPU provisioning and cluster setup, so you can focus on RL training with SkyRL. 🎯 Launch distributed RL jobs effortlessly ⚙️ Auto-provision GPUs across clouds 🤖 Train your LLM agents at scale Get started

Thanks for all people dropping by our SkyPilot booth! Really enjoyed the convos and good to learn that we are resolving urgent pains companies have: run and manage AI on any GPU cluster, no matter if it is reserved, on-prem, or from clouds. See you all at #RaySummit ; )