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Alexander Ocsa @aocsa

Staff Software Engineer at @voltrondata. open-source: @ApacheArrow, @Pytorch, @blazingsql, @rapidsai, @laboratoriala aocsa.dev Arequipa / Joined May 2011
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Alexander Ocsa retweeted
The_AI_Investor Profile Picture

The AI Investor @The_AI_Investor

a week ago

"The more you buy the more you make" Jensen's math for ~1GW AI factory: $60-$80b cost, $40-$50b compute cost (i.e. NVDA revenue potential)

Alexander Ocsa retweeted
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Haider. @slow_developer

a week ago

Sam Altman says the industry is bottlenecked by compute, and OpenAI can't meet demand Over the next 1-2 years, scarcity could force painful tradeoffs, "cure cancer research vs free global education" No one wants to make that choice. The only answer: scale up

Alexander Ocsa retweeted
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Tetsuo @tetsuoai

2 weeks ago

professor jerry cain (stanford) breaks down pointer subtraction in c. watch this entire lecture series, and then watch it again

Alexander Ocsa retweeted
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Jukan @Jukanlosreve

2 weeks ago

Just in: Alibaba’s New AI Chip Revealed: Core Specs on Par with H20 • On September 16, according to a joint CCTV News report, a screen showing “key parameter comparisons between domestic cards and NVIDIA (NV) cards” revealed that the new AI-oriented PPU chip developed by…

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Zephyr @zephyr_z9

2 weeks ago

Just in: Alibaba’s New AI Chip Revealed: Core Specs on Par with H20 • On September 16, according to a joint CCTV News report, a screen showing “key parameter comparisons between domestic cards and NVIDIA (NV) cards” revealed that the new AI-oriented PPU chip developed by… https://t.co/OAj8jIN7a2

Alexander Ocsa retweeted
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Vivek Galatage @vivekgalatage

2 weeks ago

This has to be one of the best GPU programming resources I've found - the GPU Glossary from Modal breaks down complex concepts with clear visuals and explanations, from CUDA architecture to Tensor Cores to CTAs. modal.com/gpu-glossary

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Vivek Galatage @vivekgalatage

2 weeks ago

This has to be one of the best GPU programming resources I've found - the GPU Glossary from Modal breaks down complex concepts with clear visuals and explanations, from CUDA architecture to Tensor Cores to CTAs. modal.com/gpu-glossary https://t.co/QMh0LPcIM7

Alexander Ocsa retweeted
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Sharon Zhou @realSharonZhou

2 weeks ago

If you’ve spent your life of CUDA, come check out ROCm, the open-source alternative by AMD with a big new version upgrade today 🚀 Launch page: amd.com/en/products/so… Docs: rocm.docs.amd.com/en/latest/ Github: github.com/ROCm/ROCm Latest AI algos+model architectures -> high…

Alexander Ocsa retweeted
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Yu Lin @basicprompts

2 weeks ago

Anthropic literally just released a full breakdown of which jobs use the most AI

Alexander Ocsa retweeted
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Tanay Mehta @serious_mehta

2 weeks ago

Waited almost three weeks to start scaling LLMs with this one

Alexander Ocsa retweeted
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Vivek Galatage @vivekgalatage

2 weeks ago

Understanding GPU Architecture from Cornell cvw.cac.cornell.edu/gpu-architectu… During a low-level discussion at a casual meetup, many folks were interested in understanding GPUs more closely. While CPUs optimize for complex control flow (see those big cores + caches), the GPUs maximize…

Alexander Ocsa retweeted
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Tetsuo @tetsuoai

3 weeks ago

Jerry Cain from Stanford University explains pointers and structs in C, showing a clever way to access struct fields. This series is one of the best resources online for C programming. Source: Stanford University

Alexander Ocsa retweeted
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Akshay 🚀 @akshay_pachaar

3 weeks ago

A team at DeepMind wrote this piece on how you must think about GPUs. Essential for AI engineers and researchers:

Alexander Ocsa retweeted
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Stas Bekman @StasBekman

3 weeks ago

Someone has finally published nuances of how NCCL algorithms and protocols work. Thank you so much to the authors since documentation is so scarce! arxiv.org/abs/2507.04786

Alexander Ocsa retweeted
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Crunchy Data @crunchydata

3 weeks ago

B-tree skip scanning in Postgres 18: There’s a nice performance bump coming in Postgres 18 for some multi column B-tree indexes. Traditional B-tree index scans work by reading an index from a single starting point, determined by the query's conditions on the index’s columns in…

Alexander Ocsa retweeted
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Saad Akbar @saad_akbar_10

3 weeks ago

If you want to break into AI ,here are 5 research paper you must definitely read as a SWE 1)Chain of thought in LLM 2)Deep reinforcement learning from human preferences 3)Mixture of Experts 4)Billion-scale similarity search 5)Byte-Pair Encoding Links of papers are given below👇

Alexander Ocsa retweeted
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Andrew Lamb @andrewlamb1111

3 weeks ago

What is LiquidCache in these slides: what-is-liquid-cache.xiangpeng.systems BTW @MOVNTDQ is looking for some early adopters who want to be on the bleeding edge. Hit me up if interested

Alexander Ocsa retweeted
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Thinking Machines @thinkymachines

3 weeks ago

Today Thinking Machines Lab is launching our research blog, Connectionism. Our first blog post is “Defeating Nondeterminism in LLM Inference” We believe that science is better when shared. Connectionism will cover topics as varied as our research is: from kernel numerics to…

Alexander Ocsa retweeted
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Mohit Mishra @chessMan786

3 weeks ago

Memory Allocation

Alexander Ocsa retweeted
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Priyanshu Priyank @PriyanshuP1405

3 weeks ago

This paper should be mandatory to read in any computer science related course. The most important paper of all time for C++ devs (tbh would be good for all devs) Read it every year, as a refresher. Link:- people.freebsd.org/~lstewart/arti…

Alexander Ocsa retweeted
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Hero Of Justice @herooffjustice

3 weeks ago

this Book recommended by @3blue1brown has a great approach for learning Math.

Alexander Ocsa retweeted
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Dominik Tornow @DominikTornow

3 weeks ago

The book is here. Think Distributed Systems is now available in print So excited to hold a physical copy ❤️ x.com/ManningBooks/s…

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Manning Publications @ManningBooks

3 weeks ago

The book is here. Think Distributed Systems is now available in print So excited to hold a physical copy ❤️ x.com/ManningBooks/s…

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