Ajit Mathews @ajitmaths
Director AI Acceleration @PyTorch Meta AI linkedin.com/in/ajitmathews/ Menlo Park, CA Joined November 2007-
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Join us at the Triton Dev Conference on Sept 17th! This conference is an essential gathering for AI engineers eager to push the boundaries of GPU programming. We'll share our experiences and insights on why Triton is at the forefront of our tech stack. …tondeveloperconference.splashthat.com
Meta announced MTIA v2. First principles as we went about delivering MTIA v2: 1. Designed to be a first-class citizen in PyTorch (Dynamo, Inductor, Triton). 2. ML Dev efficiency focus, enhanced by Triton, debugging, profiling. 3. Support PT eager mode. bit.ly/3VVvUS4
Codesign of AI chips is catching up with Cloud Providers to drive gains in performance and efficiency. MSFT Azure announced Maia 100, a new AI accelerator built with feedback from OpenAI. Amazon and Anthropic will collaborate in developing future Trainium and Inferentia.
Super excited that we open sourced Llama 2. License allows to distribute and use the weights free for research and commercial use. Meta continues the long history of open sourcing AI work such as PyTorch!. website: ai.meta.com/llama… paper: ai.meta.com/resea…
Excited about bunch of announcements today at Meta AI Infra @scale. OpenAI's Triton is designed for GPUs, we are extending it for our internal Silicon - MTIA. Goal is to improve the dev efficiency by hiding the intricacies of MTIA programming, as Triton did for CUDA programming!
The transformer model is patented by Google. patents.google.com/patent/US10452…
Today we release LLaMA, 4 foundation models ranging from 7B to 65B parameters. LLaMA-13B outperforms OPT and GPT-3 175B on most benchmarks. LLaMA-65B is competitive with Chinchilla 70B and PaLM 540B. The weights for all models are open and available at research.facebook.com/publications/l… 1/n
Data on the intellectual contribution to AI from various research organizations. Some of organizations publish knowledge and open-source code for the entire world to use. Others just consume it.
Data on the intellectual contribution to AI from various research organizations. Some of organizations publish knowledge and open-source code for the entire world to use. Others just consume it.
We today announced PyTorch 2.0! Significant training performance improvements by changing single line of code change. compiled_model = torch.compile(model) New compilation, codegen technologies. Support for Dynamic Shapes, smaller operator sets! lnkd.in/gZQZwgrt
Today, we open sourced a new unique approach running AI inference Models called AITemplate. We demonstrated this work on NVidia and AMD GPU's w/ huge speed improvements. On Stable Diffusion, AIT based diffusion inference is 2.5X faster than XLA solution! lnkd.in/gDqawTnP
Creating a AI compute platform grounds up. AMD's showcase on AI and High Performance compute at SC19 linkedin.com/posts/ajitmath… Tip @LinkedInPuls
AMD at SC19 - ML and HPC demos on ROCm Ecosystem linkedin.com/pulse/amd-sc19… via @LinkedIn
Great partnership announcement between Cray, DOE and AMD delivering largest supercomputer with more than 1.5 ExaFlops of peak processing power, powered by AMD CPUs and GPUs. #ROCm is the SW stack that will leveraged for #ML and #HPC at ExaFlops scale. lnkd.in/ePEySx3
#firmware #bios Looking to hire top notch firmware engineers for our Machine Intelligence chip bringup. Contact my recruiter [email protected]
ROCm 2.0 for Vega 7nm is Live! linkedin.com/pulse/rocm-20-…
Introducing ROCm2.0, AMD's open source ML solution with leading frameworks such as @TensorFlow @caffe2 . ROCm Kernel Driver is upstreamed and is part of Linux Kernel 4.17 and in Linux distros Redhat, Ubuntu, CentOS etc. Preview: rocm.github.io/ROCmInstall.ht…
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泉成漫谈录 Quanc... @Samuel___Shen
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152K Followers 229 Following Founder, @stanfordnlp and cs224n. Assoc. Director, @StanfordHAI. Prof. CS & Linguistics, @Stanford. GP @aixventureshq. Australian🇦🇺. Do #NLProc & #AI. 👋
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LlamaIndex 🦙 @llama_index
102K Followers 28 Following Build AI agents over your documents Github: https://t.co/HC19j7veGE Docs: https://t.co/QInqg2yMCJ LlamaCloud: https://t.co/yQGTiRSfFL
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