Tag

#TensorFlow

8 articles

Nvidia rival Etched doubles its value to $10.3B in seven months

Learn how to build and optimize AI inference pipelines using TensorFlow, mimicking the specialized approach of companies like Etched in the chip industry.

Jul 2321

tech

Nvidia rival Etched raises $800M with backing from Jane Street and a TSMC-linked fund

Learn how to build and optimize AI inference pipelines using TensorFlow, similar to what companies like Etched are developing for specialized AI chips.

Jun 3041

tech

Apple’s Camera Chief Thinks AI Can Give You Superpowers

Learn to implement AI-powered image enhancement techniques similar to Apple's upcoming iOS 27 Photos app, using Python, OpenCV, and TensorFlow to add realistic 'fake pixels' and enhance image quality.

Jun 1180

tech

Alibaba unveils the Zhenwu M890 as China’s NVIDIA alternative push hardens

Learn how to work with AI chip architectures similar to Alibaba's Zhenwu M890 by setting up your development environment, creating neural networks, and optimizing performance using Python frameworks like TensorFlow and PyTorch.

May 1992

tech

Meta’s $200 billion Hyperion data centre in Louisiana is the most expensive private infrastructure project in American history

Learn how to set up a basic AI development environment and train a simple neural network using Python and TensorFlow, similar to what large data centers like Meta's Hyperion would handle.

May 1958

tech

Google is in talks with Marvell to build custom AI inference chips as it diversifies beyond Broadcom

Learn how to simulate AI chip inference execution with custom memory processing units and inference-optimized architectures, similar to Google's custom chips with Marvell.

Apr 19107

tech

Zuckerberg reportedly trades headcount for compute as Meta readies to cut 10 percent of its workforce to fund AI infrastructure

Learn how to set up an AI development environment using cloud computing resources, similar to what Meta is investing in for its AI infrastructure.

Apr 1788

Google Launches TensorFlow 2.21 And LiteRT: Faster GPU Performance, New NPU Acceleration, And Seamless PyTorch Edge Deployment Upgrades

Google has released TensorFlow 2.21, introducing LiteRT as the new universal on-device inference framework and enhancing GPU and NPU support for faster, more efficient edge deployments.

Mar 7150