#MLInfrastructure
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oscorosco.bsky.social
Building multi-cloud ML infrastructure.
I’m experimenting with adaptive consensus algorithms, documenting what actually happens when systems scale across AWS, GCP, and Azure. #DistributedSystems #ConsensusAlgorithms#MLInfrastructure
September 20, 2025 at 6:00 AM
shashib.bsky.social
Nvidia's ProRL Agent solves a quiet but expensive AI problem.

Training an AI agent requires two very different workloads running at the same time. They've been forced together. ProRL Agent separates them.

www.shashi.co/2026/03/nvid...

#AI #AgenticAI #Nvidia #MLInfrastructure
Nvidia's ProRL Agent Decouples Training from Rollout. That Changes How Agentic AI Gets Built.
Stop chasing common trends. Get C-Level insights and independent analysis on AI, SaaS, and how technology drives verifiable revenue growth.
www.shashi.co
March 28, 2026 at 8:21 AM
blindthoughts.bsky.social
CISA Confirms Active Exploitation of Ray RCE Flaw — Isolate Your Clusters Now

https://blindthoughts.com/cisa-ray-rce-actively-exploited-kev

#vulnerability #remotecodeexecution #cisakev #mlinfrastructure #rayframework
August 18, 2026 at 8:17 AM
pneumetron.bsky.social
OpenForgeRL: Bridging the Gap Between Agent Harnesses and RL Training

https://pneumetron.com/news/ai_research/openforgerl-harness-native-agent-training-21b2a4

#AIAgents #ReinforcementLearning #OpenForgeRL #MLInfrastructure
July 25, 2026 at 6:33 AM
wellfunded.bsky.social
It's Not the GPUs: The Real Bottleneck Holding AI Models Back

AI's true limits are memory bandwidth and data movement.

#AIPerformance #MemoryBottleneck #ComputeArchitecture #MLInfrastructure #AIOptimization

https://wellfunded.news/articles/real-challenge-limiting-ai-models-memory-bandwidth
It's Not the GPUs: The Real Bottleneck Holding AI Models Back
Everyone assumes GPU compute is the limiting factor in AI development — but the real constraint runs much deeper. Memory bandwidth, data movement, and architectural inefficiencies are quietly throttling model performance in ways raw processing power can't fix.
wellfunded.news
July 9, 2026 at 12:00 PM
bayoadejare.bsky.social
🧵 6/7
Scaling ML initiatives or building teams focused on #DataOps and #MLInfrastructure?

Let's connect! 🤝
February 10, 2025 at 9:49 AM
strickvl.bsky.social
Most mature orgs end up with a hybrid. The interesting part isn't which algorithm wins. It's how teams build trust in the rules.

#MLOps #GPUCompute #MachineLearning #MLInfrastructure
February 18, 2026 at 10:15 AM
strickvl.bsky.social
#MLOps #PlatformEngineering #Kubernetes #MLInfrastructure

- Shopify Skypilot: shopify.engineering/skypilot

- Microsoft Philly: www.usenix.org/system/file...

- Uber Peloton: www.uber.com/blog/resour...

- UCSD DSMLP: support.ucsd.edu/services?id...
Peloton: Uber's Unified Resource Scheduler for Diverse Cluster Workloads | Uber Blog
Uber developed Peloton to help us balance resource use, elastically share resources, and plan for future capacity needs.
www.uber.com
February 13, 2026 at 10:18 AM
strickvl.bsky.social
Can jobs queue (not crash) when capacity is short? Adept hit this gap with orchestration vs Slurm.

Do you measure GPU busy vs allocated, not just "utilisation"?

Is preemption a documented promise users can plan around?

#MLOps #PlatformEngineering #MLInfrastructure #GPU
February 7, 2026 at 10:14 AM