Anyscale ✓

@anyscalecompute · joined 15 Sep 2019

The best way to run @raydistributed, the distributed compute framework for scaling AI workloads.

13 446Followers

4Following

1 989Posts total

6.3KViews on collected posts

Ultimi post

Anyscale ✓@anyscalecompute9 Sep

@anyscalecompute if RL is strictly an infra problem now, how are you mitigating the zero-copy memory serialization tax when broadcasting real-time policy weights to thousands of rollout workers without stalling gradient updates? 4 views · 0 likes · 0 reposts · 0 replies Open on X →

Anyscale ✓@anyscalecompute9 Sep

@anyscalecompute when to publish the summit videos? 4 views · 0 likes · 0 reposts · 0 replies Open on X →

Anyscale ✓@anyscalecompute8 Sep

Ray Summit 2026 recap is live. 2,000 attendees, three days, one theme: RL is a production infrastructure problem now. Lila Sciences, Torc, NVIDIA, Periodic Labs, Bedrock Robotics, Spotify, Capital One, Microsoft, Recursion, and more. Read the full recap. https://t.co/rHg2WTLxQW

1.4K views · 23 likes · 6 reposts · 2 replies Open on X →

Anyscale ✓@anyscalecompute5 Sep

@anyscalecompute Finally, debugging GPU failures without guessing which layer broke. 2 views · 0 likes · 0 reposts · 0 replies Open on X →

Anyscale ✓@anyscalecompute1 Sep

That's a wrap on Ray Summit 2026. Three days, 1800+ attendees, 90+ sessions, Training Day, and the first vLLM Conference. Thank you to everyone who built it with us. Keynote replays are live: Day 1: https://t.co/YT3l3tzhFJ Day 2: https://t.co/Vp2A4swT1F https://t.co/uAZPHDAG2

1.4K views · 18 likes · 5 reposts · 2 replies Open on X →

Anyscale ✓@anyscalecompute27 Aug

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: https://t.co/uwSsXzSOlO https://t.

1.3K views · 17 likes · 5 reposts · 3 replies Open on X →

Anyscale ✓@anyscalecompute26 Aug

@anyscalecompute Correlating DCGM signals to the exact job should save hours of blaming perfectly good code. 14 views · 0 likes · 0 reposts · 0 replies Open on X →

Anyscale ✓@anyscalecompute26 Aug

@anyscalecompute Wow so amazing 31 views · 0 likes · 0 reposts · 0 replies Open on X →

Anyscale ✓@anyscalecompute26 Aug

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. https://t.co/6Q3JMWnMrL https://t.co/gHc

1.6K views · 19 likes · 4 reposts · 3 replies Open on X →

Anyscale ✓@anyscalecompute25 Aug

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. https://t.co/K8WEZ49Zgw https://t.co/iXSM3Xun46

555 views · 7 likes · 0 reposts · 1 replies Open on X →

Rispetto ad account della stessa dimensione

10 post degli ultimi 90 giorni, accanto alla fascia di 10K–100K follower. sotto i pari sia per copertura sia per interazione.

Visualizzazioni mediane293questo account924mediana per 10K–100K

Copertura, %2.18%questo account3.62%mediana per 10K–100K

Interazione, %0.72%questo account1.52%mediana per 10K–100K

Metrica	Questo account	Mediana per 10K–100K	Rapporto
Visualizzazioni mediane per post	293	924	0.32×
Copertura (visualizzazioni ÷ follower)	2.18%	3.62%	0.60×
Tasso di interazione	0.72%	1.52%	0.47×

Altri account di questa fascia → Confronta con un altro account → Come sono costruiti questi parametri →

Growth & engagement

How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.

Views per post

55525 Aug

1.6K26 Aug

1.3K27 Aug

1.4K1 Sep

25 Sep

1.4K8 Sep

49 Sep

Last 10 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

1.44%25 Aug

1.63%26 Aug

0.00%

1.93%27 Aug

1.84%1 Sep

0.00%5 Sep

2.15%8 Sep

0.00%9 Sep

0.00%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.

What the audience does

Likes65.1%84 in total

Reposts15.5%20 in total

Replies8.5%11 in total

Bookmarks10.9%14 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.

Ultimi post

Rispetto ad account della stessa dimensione

Growth & engagement

Views per post

Engagement rate per post

What the audience does

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