Hardware

19 Posts

Deep Learning at (Small) Scale: How to run PilotNet on a Raspberry Pi Pico microcontroller
Hardware

Deep Learning at (Small) Scale: How to run PilotNet on a Raspberry Pi Pico microcontroller

TinyML shows promise for bringing deep learning to applications where electrical power is scarce, processing in the cloud is impractical, and/or data privacy is paramount.
A person's hand grabbing a handful of AI chips arranged on a table
Hardware

Restricted Chips Slip Through: Loopholes help Chinese companies get U.S. chips.

Chinese companies have found loopholes to sidestep United States limits on AI chips. Facing severe limits on U.S. exports of high-performance chips, Chinese AI firms are purchasing them through subsidiaries and using them through cloud services, the Financial Times reported.
Charts showing performance scaling of TPU vs GPU on MLPerf-Transformer and Cerebras GPT-3 XL Performance
Hardware

Built to Scale: Andromeda Supercomputer from Cerebras Speeds up AI

A new computing cluster delivers more bang per chip. Cerebras unveiled Andromeda, a supercomputer based on its processors. Unlike conventional clusters, the system’s processing speed rises linearly with additional processors.
Person with a sad face in front of an abandoned Chip's Candies factory
Hardware

No More GPUs: Confronting the Fear of a Global Chip Shortage in 2022

Advanced AI requires advanced hardware. What if the global supply of high-end AI chips dries up? Most of the world’s advanced AI processors are manufactured in Taiwan, where tension with mainland China is rising.
Nvidia Chip
Hardware

Transformer Accelerator: Nvidia's H100 is Designed to Train Transformers Faster

Is your colossal text generator bogged down in training? Nvidia announced a chip designed to accelerate the transformer architecture, the basis of large language models such as GPT-3.
AI Research SuperCluster (RSC)
Hardware

New Supercomputer on the Block: All about Meta's AI Research Supercluster

Facebook’s parent company is staking its future on a new compute cluster. Meta unveiled AI Research SuperCluster (RSC), which is designed to accelerate training of large models for applications like computer vision, natural language processing, and speech recognition.
Semiconductor chip
Hardware

Chips at Risk: How the chip shortage impacts AI.

The hardware that runs the latest AI systems faces rising uncertainty as models grow larger and more computationally intensive. The U.S. Commerce Department sounded an alarm over bottlenecks in the availability of semiconductor chips.
First image showing the Google Tensor chip. Second image showing the Google Pixel 6 phone
Hardware

Competition Heats Up in Mobile AI: Google Designed Its Own Tensor AI Chip for Smartphones

Google designed its own AI chip for its new smartphone — a snub to Qualcomm, the dominant chip vendor in Android phones. What’s new: Google debuted the Tensor chip last week
Chart showing data about worldwide AI services forecast
Hardware

AI Sales Closing In on $500 Billion: Report: Global Sales of AI Industry Nearly $500b by 2024

A new report projects a rosy future for the AI industry.What’s new: A study from market research firm IDC estimates that global revenues for AI software, hardware, and services will reach $341.8 billion in
Person dressed up as Tesla Bot showing some dance moves
Hardware

Dances With Robots: Tesla Unveils a Robot and D1 Chip at AI Day

Tesla unveiled its own AI chip and — surprise! — plans for a humanoid robot.What’s new: At Tesla’s AI Day promotional event, the company offered a first look at an upcoming self-driving computer powered by custom AI chips.
On the left, the policy is being trained from scratch, and on the right, a pre-trained policy is being fine-tuned
Hardware

Computers Making Computers: How Google used AI to help design its TPU v4 chip.

A neural network wrote the blueprint for upcoming computer chips that will accelerate deep learning itself. Google engineers used a reinforcement learning system to arrange the billions of minuscule transistors in an upcoming version of its Tensor Processing Unit (TPU) chips.
AI chip and graphics processing unit
Hardware

AI Chip Leaders Join Forces: Nvidia announces intent to purchase Arm.

A major corporate acquisition could reshape the hardware that makes AI tick.What’s new: U.S. processor giant Nvidia, the world’s leading vendor of the graphics processing units (GPUs) that perform calculations for deep learning, struck a deal to purchase UK chip designer Arm for $40 billion.
Graphs and data related to AI chips
Hardware

Built for Speed: Nvidia topped MLPerf's training benchmarks in 2020.

Chips specially designed for AI are becoming much faster at training neural networks, judging from recent trials. MLPerf, an organization that’s developing standards for hardware performance in machine learning tasks, released results from its third benchmark competition.
Colossus Mk2, processor by Graphcore
Hardware

New Horsepower for Neural Nets: UK startup Graphcore released its Colossus MK2 chip for AI.

A high-profile semiconductor startup made a bid for the future of AI computation. UK startup Graphcore released the Colossus Mk2, a processor intended to perform the matrix math calculations at the heart of deep learning more efficiently than other specialized processors.
Animated drawing of hardware related to AI
Hardware

Horsepower for Next-Gen Networks: Microsoft built OpenAI a custom AI supercomputer.

The for-profit research organization OpenAI has a new supercomputer to help achieve its dream of building the world’s most sophisticated AI. Microsoft engineered the new hardware network to train immense models on thousands of images, texts, and videos simultaneously.
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