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Reading list

What is Deep Learning? DL vs ML vs AI Why Deep Learning is So Popular?
Applications of Deep Learning Multi Layer Perceptron Visualizing the Neural Network Understanding Decision Boundary Forward and Backward Propagation Intuition
Applications of Deep Learning Multi Layer Perceptron Visualizing the Neural Network Understanding Decision Boundary Forward and Backward Propagation Intuition
Gradient Descent Algorithm Variants of Gradient Descent Algorithm
Introduction to Loss Function Binary and Categorical Cross Entropy
Why Do We Need Activation Functions? Linear Activation Function Sigmoid and Tanh Function Softmax How to Select Right Activation Function?
Perceptron Weights in Perceptron Introduction to Artificial Neural Network
Understanding Forward Propagation Mathematically Understand Backward Propagation Mathematically Implementing Neural Networks in Python
Problems with Gradient Descent Gradient Descent with Momentum Adagrad and Adadelta
Introduction to Learning Rate Schedulers
Overview of Deep Learning Frameworks Implementing Neural Networks using Keras Functional API in Keras Implementing Neural Networks using Keras Hyperparameter Tuning of MLP in Keras
Understanding Early stopping Understanding Dropout Vanishing and Exploding Gradients Weights Initialization Techniques Implementing Weight Initializing Techniques Batch Normalization Image Augmentation Techniques Image Generator and Fit Generator Model Checkpointing Implementing Model Checkpointing Dealing with Class Imbalance Ensemble Deep Learning
Introduction to GPU and TPU TensorRT
Introduction to Unsupervised Learning How to Solve Unsupervised Learning Problems? Introduction to Autoencoders Implementing Autoencoders
A Beginners Guide to Codeless Deep Learning
TensorFlow Serving Build Deep Learning Models for Android
Introduction to PyTorch and Tensors Mathematical and Matrix Operations in PyTorch Important PyTorch Modules Implement CNN in PyTorch Transfer Learning in PyTorch Working with Text Data in PyTorch Building a RNN model in PyTorch Autoencoders in PyTorch

Intel Challenges Nvidia Dominance with New Gaudi 3 AI Chip

K.C. Sabreena Basheer
K.C. Sabreena Basheer Last Updated : 10 Apr, 2024
2 min read

Intel has unveiled its latest AI hardware, the Gaudi 3 chip, at the recent Vision event. The launch marks a significant move in Intel’s battle against Nvidia’s dominance in the semiconductor industry, especially in AI. This announcement comes amidst the increasing demand for AI chips, while tech giants are seeking alternatives to address the scarcity in supply.

Also Read: South Korean AI Chip Startup Rebellions Snags Funding to Challenge Nvidia

Intel Challenges Nvidia Dominance with New Gaudi 3 AI Chip

Gaudi 3’s Superior Performance

Intel’s Gaudi 3 chip boasts remarkable advancements in AI processing power, networking bandwidth, and memory bandwidth, outperforming its predecessor, the Gaudi 2, in key areas. With a focus on accelerating both AI training and inference, the Gaudi 3 chip demonstrates impressive capabilities in handling large language models (LLMs) and multimodal AI models.

Addressing Market Demand for Choice

In response to escalating demand for AI solutions, Intel emphasizes the importance of providing customers with diverse options in the industry. The Gaudi 3 chip offers a compelling alternative to Nvidia’s offerings, as it caters to the evolving needs of businesses seeking efficient AI hardware solutions.

Also Read: SoftBank Plans $100 Billion AI Chip Venture ‘Izanagi’

Intel’s Commitment to Innovation

Intel’s CEO, Pat Gelsinger, reaffirms the company’s commitment to innovation and expansion in the AI landscape. With substantial investments and strategic initiatives, Intel aims to solidify its position as a leading provider of AI hardware solutions, fostering growth and innovation across various sectors.

Also Read: Wipro and Intel Forge Alliance to Fuel AI Chip Innovation

Intel has unveiled the Gaudi 3 AI chip

Gaudi 3’s Market Impact

As Intel prepares to roll out the Gaudi 3 chip to server builders and equipment manufacturers, anticipation mounts within the industry. With its enhanced capabilities and competitive pricing, the Gaudi 3 chip is poised to disrupt the AI chip market. It offers customers a compelling choice in their quest for cutting-edge AI solutions.

Our Say

Intel’s unveiling of the Gaudi 3 AI chip marks a significant milestone in the company’s quest to challenge Nvidia’s dominance in the AI chip market. With its superior performance, innovative features, and strategic market positioning, the Gaudi 3 chip signals Intel’s commitment to driving technological advancement and empowering businesses with transformative AI solutions.

Follow us on Google News to stay updated with the latest innovations in the world of AI, Data Science, & GenAI.

AIAI chipArtificial IntelligencechallengescustomersGaudi 3hardwareIntelModelsnewsNVIDIA
K.C. Sabreena Basheer
K.C. Sabreena Basheer

Sabreena Basheer is an architect-turned-writer who's passionate about documenting anything that interests her. She's currently exploring the world of AI and Data Science as a Content Manager at Analytics Vidhya.

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Google Gemma, the Open-Source LLM Powerhouse
Google Gemma, the Open-Source LLM Powerhouse
Intel’s Gaudi 3: Setting New Standards with 40% Faster AI Acceleration than Nvidia H100
Intel’s Gaudi 3: Setting New Standards with 40% Faster AI Acceleration than Nvidia H100

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