Linda Vivah (Haviv) (@lindavivah) 's Twitter Profile
Linda Vivah (Haviv)

@lindavivah

Developer 🥑@awscloud | sometimes “Sing as a Service”🎵 | Mom of 3 | @codingcrystals | Views my own

ID: 702288480

linkhttp://lindavivah.com calendar_today18-07-2012 03:39:08

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14,14K Followers

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Robert Nishihara (@robertnishihara) 's Twitter Profile Photo

The AI compute software stack consists of 3 specialized layers: 🔧🔧🔧 Layer 1: Training & Inference Framework (PyTorch + vLLM) • Runs models efficiently on GPUs • Handles model optimization and model parallelism strategies • Manages accelerator memory and automatic

The AI compute software stack consists of 3 specialized layers:

🔧🔧🔧 Layer 1: Training & Inference Framework (PyTorch + vLLM)
• Runs models efficiently on GPUs
• Handles model optimization and model parallelism strategies
• Manages accelerator memory and automatic
Robert Nishihara (@robertnishihara) 's Twitter Profile Photo

This table was a footnote at the end of the blog, but it's actually one of the most interesting points. There is an emerging stack for post-training. anyscale.com/blog/ai-comput…

This table was a footnote at the end of the blog, but it's actually one of the most interesting points. There is an emerging stack for post-training.

anyscale.com/blog/ai-comput…
Thomas Wolf (@thom_wolf) 's Twitter Profile Photo

We've had so much fun organizing a vibe coding event for kids aged 9 to 13 that we decided to show our friends how to host one too and turn it into a global event. 📆 It’s happening on October 10-11, 2025 🧑‍🏫 with in-person sessions hosted locally, 🌐 all connected in one giant

Robert Nishihara (@robertnishihara) 's Twitter Profile Photo

In large part due to Philipp's work on TRPO, reinforcement learning was one of the original motivating use cases that led us to build ray. You can see how we framed it in our early Ray paper (on page 1). arxiv.org/abs/1712.05889

In large part due to Philipp's work on TRPO, reinforcement learning was one of the original motivating use cases that led us to build <a href="/raydistributed/">ray</a>.

You can see how we framed it in our early Ray paper (on page 1). arxiv.org/abs/1712.05889
Linda Vivah (Haviv) (@lindavivah) 's Twitter Profile Photo

Also if you’re building agentic apps, scaling LLMs, deep in AI infra or want to learn what’s next in building & deploying large-scale AI/ML applications… you don’t want to miss Ray Summit 2025 in📍 San Francisco | Nov 3–5 🗓️ Save the date here: anyscale.com/ray-summit/2025 Hope

Linda Vivah (Haviv) (@lindavivah) 's Twitter Profile Photo

📢 Speaker submissions are now open for the vLLM track at Ray Summit 2025 in SF in November! Btw this is the first ever Featured Track at Ray Summit dedicated entirely to the exciting inference work happening today! Submit proposal here 👉 anyscale.com/ray-summit/2025

OpenAI (@openai) 's Twitter Profile Photo

As ChatGPT becomes a go-to tool for students, we’re committed to ensuring it fosters deeper understanding and learning. Introducing study mode in ChatGPT — a learning experience that helps you work through problems step-by-step instead of just getting an answer.

Anyscale (@anyscalecompute) 's Twitter Profile Photo

We are seeing an emerging OSS stack for AI compute: 🔧PyTorch + 🧠vLLM + ⚡Ray + 📦Kubernetes 📽️ Robert Nishihara breaks down how these layers work together to scale LLMs + GenAI workloads 📰Full blog with examples from Pinterest, Uber, & Roblox: anyscale.com/blog/ai-comput…

Linda Vivah (Haviv) (@lindavivah) 's Twitter Profile Photo

Today’s boot sequence: Brain: cold-started Coffee: skipped init, launched threads anyway No rollback strategy Somehow… progress 😂

Today’s boot sequence:

Brain: cold-started
Coffee:  skipped init, launched threads anyway
No rollback strategy
Somehow… progress 😂