Jeff Dean – AI.RadicalShift

frameworksTensorFlow at 10: Eager Execution, TPUs, and Beyond, The Decade-Long Evolution of Google’s AI Framework

AI Inference, AI models, Algorithms, Americas, Artificial Intelligence, Automation, Deep learning, Edge AI, Frameworks, Generative AI, Graph neural network (GNN), Language model training, Machine intelligence, Machine learning, Natural language processing (NLP), Neural networks, Probabilistic Modeling, Quantum Computing, Science, Semiconductors

April 1, 2025

Oleg Lazarov

AI, AI deployment, AlphaFold, AlphaGo, Apache Airflow, Apache Beam, Apache License 2.0, artificial intelligence, Auto-Differentiation, BERT, C++, Chainer, Cloud AI Platform, Cloud TPU, CNN, Community Contributions, Computational Graph, computer vision, CPU, CUDA, Databricks, Dataflow Graph, deep learning, DeepMind, Define-by-run, DistBelief, Distributed Training, DTensor, Eager Execution, edge computing, Edge TPU, GitHub, Go, Google, Google Brain, Google Cloud, Google Coral, Google Scholar, GPU, graph neural networks, Hugging Face, IBM, Java, JavaScript, JAX, Jeff Dean, Keras, KerasCV, KerasNLP, Kubernetes, machine learning, MCMC, Mixed Precision, MLOps, Mobile ML, Model Garden, Model Optimization Toolkit, NLP, NumPy, NVIDIA, ONNX, open-source, OpenXLA, Python, PyTorch, quantization, quantum machine learning, Ragged Tensors, Recommendation Systems, reinforcement learning, ResNet, RNN, SavedModel, Spiceworks, Static Graph, Tensor Processing Unit, TensorBoard, TensorFlow, TensorFlow 1.0, TensorFlow 2.0, TensorFlow Addons, TensorFlow Agents, TensorFlow Core, TensorFlow Datasets, TensorFlow Decision Forests, TensorFlow Dev Summit, TensorFlow Extended, TensorFlow Forum, TensorFlow Graphics, TensorFlow Hub, TensorFlow Lite, TensorFlow Probability, TensorFlow Quantum, TensorFlow Recommenders, TensorFlow Serving, TensorFlow SIGs, TensorFlow User Groups, TensorFlow.js, TF.js, TFLite, TFX, Theano, TPU, TPU v4, Transformer models, transformers, XLA

Key Takeaways: Evolved significantly from its original static computational graph architecture (DistBelief heritage, TensorFlow 1.x) to dynamic eager execution (TensorFlow 2.x) The decision to open-source TensorFlow in 2015 was pivotal, transforming the framework from an internal Google tool into one of the most widely adopted machine learning platforms Broad ecosystem that spans from research (TensorBoard,…
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newsFoundry Raises $80M to Simplify and Scale AI Compute Infrastructure for the Future

Americas, Analytics, Artificial Intelligence, Automation, Cloud, Industrial, Machine learning, Startups

March 22, 2024

Sheryl Rivera

AI compute infrastructure, AI revolution, AI/ML workloads, cloud computing, Cost reduction, cutting-edge startups, DeepMind, Eric Schmidt, Foundry, GPUs, Jeff Dean, KKR, LG, Lightspeed Venture Partners, machine learning, Microsoft, Microsoft Ventures, ML infrastructure, next-generation platform, OpenAI, orchestration platform, Paul Milgrom, research institutions, scalable compute, Seed and Series A, Sequoia Capital, strategic collaborations, technical challenges

PALTO ALTO — Building the Future of Compute Access Foundry, a groundbreaking initiative aimed at reimagining global compute infrastructure, has announced $80 million in Seed and Series A funding. This funding will drive the development of a revolutionary platform designed to maximize the utility and accessibility of AI compute resources, addressing critical challenges in the rapidly…
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What is RadicalShift AI?

RadicalShift.ai represents the paradigm shift the artificial intelligence (AI) brings upon all of us, from the way we live and work to the way we do business. To help cope with these fundamental changes across life, industries and the world in general, we are obsessively observing (30+ markets across multiple continents) and covering the AI industry while building a scalable open platform aimed at people, businesses and industry stakeholders to contribute across (benefit from) the entire spectrum of the AI industry from news, views, insights to knowledge, deployments, entities, people, products, tools, jobs, investors, pitch decks, and beyond, helping build what would potentially be a resourceful, insightful, knowledgeable and analytical source for AI related news, information and resources, ultimately becoming the AI industry graph/repository.

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Tag: Jeff Dean

frameworksTensorFlow at 10: Eager Execution, TPUs, and Beyond, The Decade-Long Evolution of Google’s AI Framework

newsFoundry Raises $80M to Simplify and Scale AI Compute Infrastructure for the Future

What is RadicalShift AI?

Latest Entries

🏭 INDUSTRIES / MARKETS:

🏷️ TAGS

📂 ARCHIVE