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@anyscalecompute

Anyscale

@anyscalecompute
The best way to run @raydistributed, the distributed compute framework for scaling AI workloads.
anyscale.com
Joined September 2019
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  • @anyscalecompute
    Anyscale
    @anyscalecompute
    Aug 27
    Ray passed 170M downloads in a single quarter, 5x growth in a year. The Ray Summit keynote covered why: teams are moving from using models to building their own, and closing the loop so they keep improving. Where AI infrastructure goes next: na2.hubs.ly/H07sTb30
  • @anyscalecompute
    Anyscale
    @anyscalecompute
    Aug 26
    Announcing Anyscale GPU Health Observability. GPU faults have always looked identical to broken scripts. Now they don't. DCGM signals correlated straight to the job and workspace running on that GPU, automatically, across KubeRay and VM. na2.hubs.ly/H07px5N0
  • @anyscalecompute
    Anyscale
    @anyscalecompute
    Aug 25
    Announcing Anyscale KubeRay Connect. Already running KubeRay? Connect your cluster to Anyscale in minutes, no migration required. Keep your k8s tooling, add unified observability and orchestration on top. na2.hubs.ly/H07px5K0
  • @anyscalecompute
    Anyscale
    @anyscalecompute
    Aug 25
    New in Ray 2.58, announced at Ray Summit: → Ray Serve LLM is GA → Ray Direct Transport hits beta: 235B weight sync in 5 seconds → Ray Sandboxes: 100K environments in 30 seconds → Ray history server for debugging finished workloads na2.hubs.ly/H07pxHr0
  • @anyscalecompute
    Anyscale
    @anyscalecompute
    Aug 21
    3 days until Ray Summit 2026. By now you've seen the lineup: keynotes from Keerti Melkote and Robert Nishihara, 80+ sessions across the four AI frontiers, Training Day, and the vLLM Conference. → Grab a pass. They're nearly gone. → Already registered? Build your session