GPU – 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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newsNVIDIA Q4 2025: AI Boom Delivers Record Revenue and Profits

AI models, Algorithms, Americas, Analytics, Artificial Intelligence, Automation, Financial, Generative AI, Generative pre-trained transformers (GPT), Industrial, LLMs (Large Language Models), Machine learning, Semiconductors, Supercomputer

February 27, 2025

Sheryl Rivera

AI, AI chips, AMD, Blackwell, cloud computing, data center, financial results, gaming, generative AI, GPU, gross margin, high-performance computing, Intel, investors, market trends, NVIDIA, profit, Q4 FY2025, revenue growth, Semiconductor Industry, semiconductor market, Stargate

SANTA CLARA — NVIDIA has reported blockbuster financial results for the fourth quarter and full fiscal year 2025, fueled by surging demand for its artificial intelligence (AI) and data center chips. The GPU giant posted record Q4 revenue of $39.3 billion, a 78% jump year-over-year (YoY), bringing full-year revenue to $130.5 billion (up 114% YoY).…
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individualsJensen Huang: Visionary Leader Powering the GPU and AI Revolution

Accelerated computing, AI accelerators, AI Inference, Algorithms, Americas, Artificial Intelligence, Asia, Automation, Automotive, Autonomous driving, Cloud, Computer vision, Data centers, Deep learning, Defence, Electronics & Machinery, Entertainment, Gaming, Generative AI, Graph neural network (GNN), Graphics Processing Unit (GPU), Healthcare, Infrastructure & Utilities, Internet & Online, Machine intelligence, Machine learning, Management, Neural networks, Pharma & Biotech, Robotics, Science, Semiconductors, Society, Supercomputer

February 26, 2025

Oleg Lazarov

accelerated computing, AI, AI revolution, Ampere, autonomous vehicles, chip design, Chris Malachowsky, corporate culture, CUDA, Curtis Priem, Data Centers, deep learning, Denny’s, founder-led company, GeForce 256, GPU, GPU computing, Grace CPU, high-performance computing, Hopper, HPC, Huang’s Law, immigrant entrepreneurship, innovation, Jensen Huang, leadership philosophy, Mellanox, NVIDIA, parallel processing, Silicon Valley, strategic acquisitions, strategic decisions, tech visionary, Volta

Jensen Huang is the co-founder, President, and CEO of NVIDIA, a company he started in 1993 that has grown from a niche graphics chip producer into a dominant force in artificial intelligence (AI) and high-performance computing. Huang’s journey – from a young immigrant washing dishes at Denny’s to the leader of a trillion-dollar tech company…
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entityNVIDIA, the Engine of AI, one of the most influential technology powerhouses of our time

Accelerated computing, Americas, Artificial Intelligence, Automation, Automotive, Aviation & Aerospace, Deep learning, Entertainment, Gaming, Generative AI, Graphics Processing Unit (GPU), Internet & Online, Machine intelligence, Machine learning, Robotics, Science, Semiconductors

February 17, 2025

Oleg Lazarov

Aalto University Incident, AI, AI algorithms, AI boom, AI Foundry, AI revolution, AI server market, ALCHEMI NIM, Amphitrite, Antitrust Investigation, ARM Holdings, artificial intelligence, Autonomous systems, autonomous vehicles, Best Places to Work, Chris Malachowsky, Colette Kress, community engagement, Controversial Acquisition, Cooling Problems, Corporate Social Responsibility, Criticism, cryptocurrency mining, CUDA, cuDNN, Curtis Priem, Data Centers, Debora Shoquist, deep learning, DeepSeek, Excessive Heat Generation, FTC Investigation, gaming, GeForce GTX 1630, GeForce GTX 1650 Super, GeForce GTX 48, GeForce GTX 970 Memory Controversy, GPU, GPU kernel modules, Grace Hopper Superchip, Green500, Heat Issues, high-demand AI applications, high-performance computing, innovation, Jay Puri, Jensen Huang, large-scale data analytics, Linus Torvalds, machine learning, NVIDIA, NVIDIA AI Enterprise, NVIDIA Clara, NVIDIA Corporation, NVIDIA DGX Systems, NVIDIA DLSS 4, NVIDIA DRIVE, NVIDIA GPU Cloud, NVIDIA Jetson, NVIDIA Omniverse™, NVIDIA RTX, NVLink, NVSwitch, Omniflow, parallel processing, Patent Disputes, Price Gouging Accusations, Professional Visualization, Proprietary Drivers, Rambus Inc., research, Stock Volatility, subpoenas, Sustainable Practices, Tegra X1, TensorRT, the Engine of AI, their high energy consumption, Tim Teter, video games, visual computing, Xockets Lawsuit

Nvidia (NASDAQ: NVDA) has evolved into one of the most influential technology powerhouses of our time. Founded in 1993 by Jensen Huang alongside Chris Malachowsky and Curtis Priem and originally celebrated for its groundbreaking graphics processing units (GPUs), the company has continually reinvented itself—expanding its expertise well beyond gaming into areas such as artificial intelligence, deep learning,…
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newsProject DIGITS: NVIDIA and Arm Empower AI Developers with Personal Supercomputing Power

AI assistants, AI models, Algorithms, Americas, Analytics, Artificial Intelligence, Europe, Industrial, Startups, Supercomputer

January 7, 2025

Sheryl Rivera

AI applications, AI computing, AI Models, AI performance, AI research, AI supercomputer, AI workflows, AI workloads, ARM, Arm compute platform, Arm Cortex-X, Blackwell GPU, CES 2025, Cortex-A, data center, developer tools, edge computing, FP4 precision, generative AI, GPU, Grace Blackwell Superchip, Grace CPU, Linux-based system, machine learning, memory optimization, NVIDIA, NVIDIA Grace Hopper, NVIDIA NGC, open-source Linux platform, power consumption, Project DIGITS, scalable platform, software innovation

CAMBRIDGE — Arm is proud to be a key partner in the launch of NVIDIA Project DIGITS, a cutting-edge personal AI supercomputer that brings high-performance AI computing to developers’ desks. By combining the power of Arm-based CPU cores with NVIDIA’s leading AI technology, Project DIGITS is set to revolutionize AI development, providing a scalable, secure,…
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newsNVIDIA Cosmos Platform Launches Open AI Models to Accelerate Robotics and Autonomous Vehicle Innovation

AI assistants, Algorithms, Americas, Analytics, Artificial Intelligence, Automation, Automotive, Autonomous driving, Generative AI, Industrial, LLMs (Large Language Models), Robotics, Semiconductors

January 6, 2025

Oleg Lazarov

3D environments, AI development, AI Models, AI-driven technologies, AI-generated content, autonomous driving, autonomous vehicle innovation, autonomous vehicles, AV software development, AVs, Blackwell, CES 2025, commercial use, Cosmos Guardrails, Cosmos platform, ethical standards, fine-tuning, GPU, Hillbot, Hopper, model training, Nano models, NeMo framework, NVIDIA, NVIDIA NeMo framework, open model license, Physical AI, physics-based simulation, real-time inference, Responsibility, robotics, safety, simulation, Super models, synthetic data, synthetic data generation, Ultra models, Waabi, watermarking system, WFMs, world foundation models

SANTA CLARA — NVIDIA has unveiled its latest innovation in physical AI development: the Cosmos platform, which introduces world foundation models (WFMs) designed to propel the future of robotics and autonomous vehicles (AVs). By providing developers with open, powerful models for simulating and predicting physical interactions in virtual environments, NVIDIA aims to democratize access to…
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newsNVIDIA Expands AI Training with Two New Professional Certifications for Infrastructure and Operations Practitioners

AI models, Americas, Artificial Intelligence, Data centers, Education, Generative AI, Industrial, LLMs (Large Language Models)

December 4, 2024

Sheryl Rivera

accelerated computing, AI careers, AI certifications, AI data center technologies, AI infrastructure, AI Infrastructure certification, AI Operations certification, AI software, AI Summit, AI workloads, AI-based solutions, BCM, BlueField DPUs, compute platforms, deep learning, DevOps, Docker, DPU, DPU services, generative AI, Generative AI LLMs, Generative AI Multimodal, GPU, hardware validation, Kubernetes, MIG, MLOps, networking, NGC containers, NVIDIA, NVIDIA AI Enterprise, NVIDIA BlueField, NVIDIA NGC, NVIDIA-Certified Associate, NVIDIA-Certified Professional, professional certification, Saleh Hassan, Slurm, storage solutions, system optimization, Two Six Technologies, Washington D.C., workforce capabilities

SANTA CLARA — As the world of generative AI continues to evolve, the demand for skilled professionals who can effectively manage the infrastructure required to develop and deploy AI solutions has never been higher. To address these growing needs, NVIDIA has introduced two new certifications designed for professionals working with AI infrastructure and operations. These new…
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newsIBM and AMD Collaborate to Enhance AI Performance with MI300X Accelerators on IBM Cloud

AI models, Americas, Artificial Intelligence, Cloud, Cybersecurity, Generative AI, Industrial, LLMs (Large Language Models)

November 18, 2024

Oleg Lazarov

192GB high-bandwidth memory, AI applications, AI Ecosystem, AI inferencing, AI infrastructure, AI Models, AI platform, AI workloads, AMD, AMD ROCm software, cloud computing, cloud security, cloud solutions, compliance, cost optimization, data platform, enterprise clients, flexibility, generative AI, GPU, high-performance computing, HPC, hybrid cloud, hybrid cloud environments, IBM, IBM Cloud, Instinct MI300X accelerators, InstructLab, large language models, MI300X integration, performance, Red Hat Enterprise Linux, scalability, security, watsonx AI

Armonk, NY — IBM and AMD have announced a strategic partnership to deliver AMD Instinct MI300X accelerators as a service on IBM Cloud, aimed at boosting performance for generative AI workloads and high-performance computing (HPC) applications. Expected to be available in the first half of 2025, this collaboration will enhance the scalability and efficiency of…
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newsNVIDIA Blackwell Unveiled: A Paradigm Shift in Accelerated Computing

Americas, Artificial Intelligence, Generative AI, Industrial, Quantum Computing, Supercomputer

March 19, 2024

Oleg Lazarov

accelerated computing, AI, AI infrastructure, AI Models, Andy Jassy, Blackwell, breakthrough, cloud computing, cloud service providers, collaboration, data processing, David Harold Blackwell, Demis Hassabis, Efficiency, electronic design automation, Elon Musk, Energy Consumption, engineering simulation, GB200, generative AI, GPU, GTC keynote, innovation, Jensen Huang, Larry Ellison, Mark Zuckerberg, Michael Dell, networking, NVIDIA, NVIDIA AI Enterprise, Partnership, quantum computing, Reliability, resilience, Sam Altman, Satya Nadella, semiconductor, server manufacturers, software developers, Sundar Pichai, superchip, technology, trillion-parameter-scale

SANTA CLARA — NVIDIA has ushered in a new era of computing with the introduction of the NVIDIA Blackwell platform, a revolutionary leap forward in accelerated computing. With transformative technologies at its core, Blackwell promises to power trillion-parameter-scale AI models while significantly reducing cost and energy consumption. Jensen Huang, founder and CEO of NVIDIA, heralds…
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newsNVIDIA’s cuLitho Revolutionizes Semiconductor Manufacturing with TSMC and Synopsys Collaboration

Americas, Artificial Intelligence, Industrial, Semiconductors

March 19, 2024

Sheryl Rivera

chip fabrication, computational lithography, cuLitho, Dr. C.C. Wei, fab development cycle, generative AI, GPU, GPU acceleration, integration, Jensen Huang, NVIDIA, proximity correction, Sassine Ghazi, scalability, semiconductor, semiconductor manufacturing, Synopsys, TSMC

SANTA CLARA — In a groundbreaking collaboration poised to redefine semiconductor manufacturing, NVIDIA has partnered with TSMC and Synopsys to bring forth the next evolution of computational lithography. NVIDIA’s cuLitho platform, integrated seamlessly into TSMC and Synopsys workflows, accelerates chip fabrication, pushing the boundaries of physics and ushering in a new era of advanced semiconductor…
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newsFacebook AI Enhances AI Habitat with Interactive Objects and Realistic Physics for Smarter Agent Training

AI assistants, Algorithms, Americas, Analytics, Artificial Intelligence, Internet & Online, Machine learning, Open Source LLMs, Robotics

January 21, 2020

Sheryl Rivera

3D virtual environments, ai assistants, AI Habitat, AI research, Bullet physics engine, complex situations, embodied AI, Facebook AI, GPU, Habitat-PyRobot-Bridge, interactive objects, JavaScript API, LoCoBot, Oculus Quest VR, open-source, photorealistic environments, realistic physics, Replica simulations, rigid body physics, robots, simulation platform, TensorBoard support, training agents, virtual worlds, WebGL

MENLO PARK — Facebook AI has launched a significant update to its open-source AI Habitat platform, aimed at enhancing the training of embodied AI agents in realistic 3D virtual environments. This update introduces interactive objects, realistic physics modeling, and more flexible simulation options, enabling researchers to train AI agents to not only navigate but also…
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newsNVIDIA Sets New Standards in Conversational AI with Record-breaking Performance

Algorithms, Americas, Analytics, Artificial Intelligence, Automation, Deep learning, Industrial, Language model training, LLMs (Large Language Models), Semiconductors

August 14, 2019

Sheryl Rivera

AI Inference, AI platform, BERT, Bing, Bryan Catanzaro, Clinc, conversational AI, GPU, language understanding, Microsoft, natural interactions, NVIDIA, Passage AI, Recordsure

SANTA CLARA — In a significant leap forward for conversational AI, NVIDIA has achieved groundbreaking milestones in language understanding, drastically reducing training times and inference durations for AI models. The announcement, made today, heralds a new era where real-time conversational AI becomes a tangible reality, poised to revolutionize various industries including retail, customer service, automotive,…
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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.

AI.RadicalShift

Tag: GPU

individualsJensen Huang: Visionary Leader Powering the GPU and AI Revolution

newsProject DIGITS: NVIDIA and Arm Empower AI Developers with Personal Supercomputing Power

newsNVIDIA Cosmos Platform Launches Open AI Models to Accelerate Robotics and Autonomous Vehicle Innovation

newsNVIDIA Expands AI Training with Two New Professional Certifications for Infrastructure and Operations Practitioners

newsNVIDIA’s cuLitho Revolutionizes Semiconductor Manufacturing with TSMC and Synopsys Collaboration

newsFacebook AI Enhances AI Habitat with Interactive Objects and Realistic Physics for Smarter Agent Training

newsNVIDIA Sets New Standards in Conversational AI with Record-breaking Performance

What is RadicalShift AI?

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