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Technology enthusiast and expert in complex software engineering. A dedicated…
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Ankita Luthra shared thisLooking forward to speak at #Pytorch Conference Europe about GCS Rapid buckets alongside Kotturu Trinadh and connecting with the community !Ankita Luthra shared thisNext week, Ankita Luthra and I will be speaking at #PyTorch Conference Europe about how GCS Rapid Buckets are accelerating AI/ML development in PyTorch. If you’re attending, we’d love to connect! More details @ https://lnkd.in/g2gZWHYs
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Ankita Luthra reposted thisAnkita Luthra reposted thisNext week, Ankita Luthra and I will be speaking at #PyTorch Conference Europe about how GCS Rapid Buckets are accelerating AI/ML development in PyTorch. If you’re attending, we’d love to connect! More details @ https://lnkd.in/g2gZWHYs
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Ankita Luthra reacted on thisAnkita Luthra reacted on thisLots of discussion out there about our next model, so I wanted to give an early look as soon as possible. Introducing Gemini 4 Argon! It shows frontier performance in complex workflows, cyber defense and software engineering. Teams are using it extensively at Google, from coding to quantum computing, great feedback. Importantly Argon has frontier safeguards and we are rolling it out responsibly - it’s with the US gov’t and going to a set of trusted cyber defenders through our Fairwind Program today. We’re going to make it available as soon as we can and as safely as we can. So hold tight, lots more coming, and you’re going to see us iterating rapidly. https://lnkd.in/gTiQb7DA
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Ankita Luthra liked thisAnkita Luthra liked thisAfter nearly 7 years at Meta, I was impacted by the layoffs four months ago. I decided to take a career break—to recharge, clear my mind, and enjoy some much-needed time for myself. I’m grateful for the opportunity to step back, reflect, and look at life from a different perspective. Now, I’m ready for the next chapter. I’m currently exploring Senior Software Engineer opportunities. If you know of a role that might be a good fit, I’d love to connect!
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Ankita Luthra liked thisAnkita Luthra liked thisLast Friday marked the end of an unforgettable 8-year chapter at Walmart as a Principal Software Engineer. Looking back, these 8 years have been quite a ride. I got to work on some really heavy engineering problems, whether it was scaling our core systems to handle crazy peak loads under 10 milliseconds, making sure systems stayed up during critical outages, or turning new ideas into tech patents. Taking a massive re-architecture project and seeing it fully completed before leaving was the best way to wrap things up. Solving such complex problems was definitely challenging, but working with this team made the journey truly fun. A heartfelt thank you to everyone who made these years so memorable. rajan s "Thank you" would be an understatement for what I feel. You have been a mentor, a well-wisher, and a friend whom I looked up to for guidance and support during rough times. You are a Supply Chain encyclopedia, so it was always easy to brainstorm complex problems with you. I will always remember our late-night chats. I wish all great things to come to you and want to see you as a CTO/CEO down the road. Maheshwar Ramakrishnan Having you as my product manager and then a Senior Leader for 8 years has been a great experience. Beyond backing me technically, you showed me what great leadership looks like in practice. If I ever step into management down the line, you're exactly the kind of leader I’d want to emulate. Thank you for being a wonderful PM and a trusted mentor. To all the brilliant engineers, managers, and product partners Naivedya Jain Noble Kolarikkal Ashwani Jain Ashish Gupta Ujjwal Joshi Puja Upadhyay Sachin manchanda Balaji Arumugam Shyam Jalan Shivam Jain Shivansh Seth Mukesh Verma Himanshu Mehra I’ve worked with , thank you for keeping the team running like a well-oiled machine and for the great camaraderie throughout. You are a bunch of kind and brilliant people, and I wish you all a long, great career at Walmart. A big thank you to all the leaders I had the privilege of working with over the years for your trust, backing, and guidance. To my fellow architects, thank you for the deep architectural debates, whiteboarding sessions, and always pushing each other to build better, scalable systems. Grateful for the memories, the hard problems solved, and the lifelong connections.
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Ankita Luthra reacted on thisAnkita Luthra reacted on thisGoogle Cloud Storage team collaborated with #PyTorch Lightning AI team to reduce checkpoint times up to 95% using Rapid buckets and GCSFS. Learn more about upstreaming work @ https://lnkd.in/dwwCZQsW Thank you Amit Ponchick, Neil Bhatt, Thomas Chaton, Frances Fedoriska, Liana Koleva, Teja Pulagam from Lightning AI and Ankita Luthra, Jatin Sharma, Zhixiang Li, Mahalaxmi Bejugam, Pavan Daga and Nivedita Aggarwal from GCS team.PyTorch Lightning checkpoints write up to 95% faster on Google Cloud Storage Rapid BucketsPyTorch Lightning checkpoints write up to 95% faster on Google Cloud Storage Rapid Buckets
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Ankita Luthra reacted on thisSo exciting ! Let's make open source AI big !Ankita Luthra reacted on thisI’m excited to announce that NVIDIA has agreed to acquire Hugging Face. Over the past decade, the Hugging Face team has built something remarkable: a vibrant home for the open model developer community. More than 18 million 🤗 developers, researchers and creators use its platform to share models, datasets and applications, while companies around the world use it to discover, evaluate, customize and deploy AI. Together, we will scale Hugging Face’s platform, strengthen its infrastructure and expand access to AI for developers and institutions worldwide. Hugging Face will remain an open platform for the entire AI ecosystem. Developers will continue to choose the models, frameworks, clouds, inference providers and computing platforms that best fit their work. NVIDIA compute will not be required to build on or deploy through the platform. Open models strengthen safety and cybersecurity, accelerate innovation and diffusion, and enable sovereignty. They allow every developer, startup, university, industry and country to build with, customize and benefit from AI. AI advances faster when people can build together. We can’t wait to build the future with this extraordinary community. https://lnkd.in/gE765Fwq
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Ankita Luthra liked thisAnkita Luthra and I will be talking on how GCSFS on Rapid Buckets helps you accelerate AI model training and inference with high-performance object storage and E2E stack improvements at #Pytorch Conference, North America, 2026.Ankita Luthra liked thisvLLM sessions at PyTorch Conference North America 2026 show how teams are optimizing inference, working on PyTorch release validation and compatibility, and using vLLM in broader serving and application workflows. Speakers will cover CUTLASS, Triton, and Helion; faster model loading with fastsafetensors; quantization and HiFloat; autonomous kernel bring-up and Intel GPU optimization; PyTorch release validation, enterprise agentic inference, stable ABI, and dynamic shapes; vision-language serving; cloud-to-edge workflows; high-speed storage; a serving stack for a physics-constrained generative model; and contributor onboarding and first-PR workflows. Featured speakers include: NVIDIA: Michael G., Güray ÖZEN, Aastha Jhunjhunwala, and Mark Moyou, PhD Meta: Andrey Talman, Jane Xu, and Laith Sakka Arm: Kavya Sri Chennoju IBM: Takeshi Yoshimura and Nili Guy (Ifergan) Red Hat: Markell Rawls, Joseph Groenenboom, Tyler Michael Smith, Sean McGovern, Christopher Leonard, and Maroon Ayoub Google: Ankita Luthra and Kotturu Trinadh Intel: Alex Gu, Qun Yang, Wai Hung (Whitney) Tsang, and Artur Fierka Huawei: Jun Zhao and Haonan Zhang IBM Research: Burkhard Ringlein University of Minnesota: Arun Sharma Register for PyTorch Conference North America 2026: https://hubs.la/Q04tBgv_0 Read the vLLM session guide: https://lnkd.in/gAzvw6KQ
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Ankita Luthra liked thisAnkita Luthra liked thisvLLM sessions at PyTorch Conference North America 2026 show how teams are optimizing inference, working on PyTorch release validation and compatibility, and using vLLM in broader serving and application workflows. Speakers will cover CUTLASS, Triton, and Helion; faster model loading with fastsafetensors; quantization and HiFloat; autonomous kernel bring-up and Intel GPU optimization; PyTorch release validation, enterprise agentic inference, stable ABI, and dynamic shapes; vision-language serving; cloud-to-edge workflows; high-speed storage; a serving stack for a physics-constrained generative model; and contributor onboarding and first-PR workflows. Featured speakers include: NVIDIA: Michael G., Güray ÖZEN, Aastha Jhunjhunwala, and Mark Moyou, PhD Meta: Andrey Talman, Jane Xu, and Laith Sakka Arm: Kavya Sri Chennoju IBM: Takeshi Yoshimura and Nili Guy (Ifergan) Red Hat: Markell Rawls, Joseph Groenenboom, Tyler Michael Smith, Sean McGovern, Christopher Leonard, and Maroon Ayoub Google: Ankita Luthra and Kotturu Trinadh Intel: Alex Gu, Qun Yang, Wai Hung (Whitney) Tsang, and Artur Fierka Huawei: Jun Zhao and Haonan Zhang IBM Research: Burkhard Ringlein University of Minnesota: Arun Sharma Register for PyTorch Conference North America 2026: https://hubs.la/Q04tBgv_0 Read the vLLM session guide: https://lnkd.in/gAzvw6KQ
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