Chen Goldberg from @CoreWeave dropped by the #NVIDIAGTC Studio to discuss how CoreWeave’s AI cloud ☁️ , built on NVIDIA technology, powers production-scale training, inference, and next-gen AI applications. ▶️ Catch up on the episode: nvda.ws/3Q0FWQH
COMPUTING
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OSGym: Scalable Infrastructure for Computer Use AI Agents
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How do you train AI agents that can use computers like humans? Introducing OSGym: Scalable OS Infrastructure for Computer Use Agents. It’s large-scale training made possible by extensive infra optimization: • 1024 OS sandboxes running in parallel • $0.23 / sandbox / day (90% cost down) • 1420 trajectories per minute • 37× faster disk provisioning • 88% less physical disk usage • RAM-bound orchestration (10× scalable than CPU-bound) 🧵
→ View original post on X — @mit_csail, 2026-04-06 16:22 UTC
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Hybrid Era Begins: Disaggregated Inference for Future Data Centers
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The hybrid era begins. 🚀 Future data centers will blend different processors. Some for prep, others for fast, efficient execution. Disaggregated Inference cuts latency and cost while boosting throughput. 🔗 Read our blog: sambanova.ai/blog/agentic-in…
→ View original post on X — @sambanovaai, 2026-04-06 16:00 UTC
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OSGym: Infrastructure for Training Computer Use Agents
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So why did the researchers develop OSGym? Training computer use agents is both a modeling problem & an infrastructure challenge: • Each task needs a full OS (GUI, apps, browser, etc.) • Scaling → massive CPU/RAM/disk costs • Random crashes from real software environments • Thousands of parallel runs required It's a key bottleneck, though it's not often discussed. [Translated from EN to English]
→ View original post on X — @mit_csail, 2026-04-06 15:25 UTC
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MIT CSAIL Introduces OSGym for Training Computer Agents
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How do you train AI agents that can use computers like humans? 🧵 MIT CSAIL researchers introduce "OSGym": scalable OS infrastructure to improve the capabilities of computer use agents. It introduces large-scale training made possible by extensive infrastructure optimization: bit.ly/47JprPd [Translated from EN to English]
→ View original post on X — @mit_csail, 2026-04-06 15:25 UTC
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vGIS Brings Construction Data to Life with Real-Time AR
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vGIS Brings Construction #Data to Life with Real-Time #AR Digital Twin Visualization
— Ronald van Loon (@Ronald_vanLoon) 6 avril 2026
via @WevolverApp
#EmergingTech #Innovation #Technology pic.twitter.com/y4DKpduD26vGIS Brings Construction #Data to Life with Real-Time #AR Digital Twin Visualization via @WevolverApp #EmergingTech #Innovation #Technology
→ View original post on X — @ronald_vanloon, 2026-04-06 15:23 UTC
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Index Trap: Architecture Matters More Than Tuning High-Ingestion Systems
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Indexes aren’t the problem. Unbounded indexing in high-ingestion systems is. IoT, observability, AI telemetry, financial feeds all share the same pattern: → continuous ingestion → append-only data → time-based queries → massive retention Eventually the architecture matters more than tuning. Tiger Data published the full breakdown here: tsdb.co/rvl-x Check out the full article : linkedin.com/pulse/index-tra…
→ View original post on X — @ronald_vanloon, 2026-04-06 15:00 UTC
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Google’s Agile Architecture for Analytics and AI on GCP
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Google's Agile Architecture for Analytics and AI on GCP! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode geni.us/Analytics-GCP
→ View original post on X — @gp_pulipaka, 2026-04-06 14:26 UTC
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Google Cloud Cookbook: Big Data Analytics and Machine Learning Guide
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Google Cloud Cookbook! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Books #Programming #Coding #100DaysofCode geni.us/Google-Cloud-Cookboo…
→ View original post on X — @gp_pulipaka, 2026-04-06 14:26 UTC
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SambaNova at HumanX 2026: Rodrigo Liang on AI Infrastructure
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It's #HumanX week 🙌
— SambaNova (@SambaNovaAI) 6 avril 2026
Mark your calendars for @RodrigoLiang’s session, where he’ll share his insights on:
Why infrastructure is falling short
Where costs are shifting
The real meaning of scalable AI
🔗 Details: https://t.co/vbC4vtrAJB pic.twitter.com/Pt7PgPidMmIt's #HumanX week 🙌 Mark your calendars for @RodrigoLiang’s session, where he’ll share his insights on: Why infrastructure is falling short Where costs are shifting The real meaning of scalable AI 🔗 Details: sambanova.ai/sambanova-at-th…
→ View original post on X — @sambanovaai, 2026-04-06 14:00 UTC