The Essential Cloud for AI

Joined March 2018
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Registration for #FullyConnected26 is open: 🗓️ September 29 – Oct 1 📍San Francisco 3 days and 3 tracks to accelerate the superintelligence loop. 2,000 AI Leaders in the room. This is where you need to be. utm.io/upDdn
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CoreWeave retweeted
This is one of those posts where the headline does all the work. $CRWV joins the Nasdaq-100.
15 months post-IPO, CoreWeave is joining the @Nasdaq-100. This milestone is a reflection of our team's hard work and the trust of our customers, partners, and shareholders. We're just getting started. Full release: hubs.la/Q04lczyG0
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It's almost here: the first episode of Training Tuesday💪 Join our 30-min session on June 23. 👉utm.io/uqfrp
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15 months post-IPO, CoreWeave is joining the @Nasdaq-100. This milestone is a reflection of our team's hard work and the trust of our customers, partners, and shareholders. We're just getting started. Full release: hubs.la/Q04lczyG0
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The teams that avoid chronic drift share one thing: They treat reliability as an architectural property, not a monitoring problem. Monitoring tells you drift happened. Architecture determines whether it accumulates. Better alerting won't fix a structural gap.
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If your inference stack is accumulating drift, the first question isn't "how do we monitor better?" It's: was this infrastructure built for inference, or was inference deployed on infrastructure designed for something else? Full breakdown below. utm.io/uqnH9
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This is how production inference breaks. Not loudly. Not suddenly. It drifts. 👉33% latency increase. 👉No alert fired. Because drift is the hardest failure mode to catch, and the most expensive one to diagnose.
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Latency drift is actually 3 problems compounding: 1⃣GPU contention: scheduling overhead negligible at 50 rps. Material at 5,000 2⃣Batching misconfiguration: a large prefill stalls decode for every concurrent request. 3⃣Autoscaling lag: 90s to spin up a pod during a 60s burst ramp isn't a tuning issue. It's a structural gap.
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"The system is up" ≠ "The system is working" That gap is where production inference actually lives🧵
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A medical Q&A service ran for 11 days without a single failure alert. No errors. No downtime. Clean dashboard. Meanwhile, users were filing complaints about slow responses.
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Congrats on the launch! Fair warning to all: the response speed of @usehamster is going to spoil you. Under that hood is CoreWeave Inference. 😉
Introducing Hamster 🐹 Multiplayer AI for product teams. Hunch in, PR out. Design, engineering, product, & business reason on the same work, and your agents deliver it. Your team makes a hundred decisions a week. Now your AI remembers all of them. tryhamster.com
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Your hybrid research environment may be elastic. But is it behaving? When backtests, retraining, and feature generation overlap, fragmented infrastructure introduces variance where quant research can't afford it. See how to preserve on-prem reliability at AI scale, with CoreWeave and @VAST_Data. utm.io/upTq3
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We solved code generation. Our VP of Eng explains why this is only the beginning → utm.io/uqkdc
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CoreWeave retweeted
#AIfactories are entering the Vera Rubin era 🏭 Join theCUBE for “Scaling the Agentic Era with NVIDIA Vera Rubin NVL72 on CoreWeave Cloud” and hear from @nvidia @CoreWeave & @DellTech on the #infrastructure powering trillion-parameter models and next-gen #AIagents. 📺 Event site now live on theCUBE.net! thecube.net/events/ #AgenticAI #AI #EnterpriseAI
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#FullyConnected26 call for speakers is open 📣 If you have a story worth telling, we want to hear from you. Speaker apps close June 26 → utm.io/up30W
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Can your training infrastructure actually deliver? 🤔 In production, AI training roadmaps can stall even when you have the GPUs, models, and budget ready to go. CoreWeave ARENA helps teams validate real workloads before they go live. Join our 30-min Training Tuesdays session on June 23: utm.io/uqfrp
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