Cambrian AI Research
  • What We Do
  • Research
    • The Latest News in AI
    • Research Papers
    • Cambrian AI Visions
  • Why “Cambrian AI”?
  • Contact Us
  • Login
Select Page

NeMo Megatron Reinforces NVIDIA AI Leadership In Large Language Models

by Karl Freund | Aug 12, 2022 | In the News

LLMs are changing AI, and NVIDIA is changing its platform to excel in this fast-growing field Alberto Romero, Cambrian-AI Analyst, contributed to this story Transformer-based large language models (LLMs) are reshaping the AI landscape today. Since OpenAI established...

Graphcore Launches 3rd-Gen AI With Wafer-On-Wafer (WoW!) Technology

by Karl Freund | Mar 11, 2022 | In the News

Startup also teases $120M Brain-Scale AI “Good Computer” For 2024 Remember Intel’s old Tick-Tock processor roadmap? The company alternated between two approaches, bringing out a new generation featuring architectural enhancements, then subsequently shrinking that chip...
Untether AI Touts “At-Memory” Architecture, Promising Efficiency And Performance At The Edge

Untether AI Touts “At-Memory” Architecture, Promising Efficiency And Performance At The Edge

by Karl Freund | Nov 1, 2021 | In the News

Every AI hardware startup begins at square one: design a novel architecture to accelerate deep neural network training and inference processing. Some focus on training, where performance is king, where even price is a secondary consideration in these early days of AI....
The View From The AI HW Summit:  What Was The Best AI HW In 2021?

The View From The AI HW Summit: What Was The Best AI HW In 2021?

by Karl Freund | Sep 14, 2021 | In the News

The Summit is full of newsworthy announcements this week! I present a look back to help kick off the event… Today I present my annual AI industry overview at the AI Hardware Summit. This is the fourth annual event with nearly all the AI hardware vendors talking...
Andrew Feldman of Cerebras Systems, making 120 Trillion parameter models possible.

Andrew Feldman of Cerebras Systems, making 120 Trillion parameter models possible.

by Karl Freund | Aug 29, 2021 | Video

Our Second Interview With Andrew Feldman, Founder and CEO Cerebras Systems, discussing the need for massive models and the Cerebras technology that makes 120 Trillion parameter models possible. More Cambrian-AI Visions Video Interviews Interview with Ziad Asghar,...
« Older Entries
Next Entries »

More Recent AI News>>

  • Qualcomm Lays Out New Data Center Roadmap For AI; Meta Buys It
  • As Agentic AI Reshapes Computing, Could It Reshape Qualcomm?
  • Tensordyne Revives Logarithmic Math In A Bid To Cut AI Power Use
  • Nvidia And Cadence Claim Breakthrough In AI-Powered Chip Design
  • Neutral-Atom Quantum: What Is It, And Why Infleqtion Stands Out

Companies

AI AMD Apple Arm AWS Blackwell Blaize BrainChip Cadence Cerebras ChatGPT Data Center D Matrix Edge AI Esperanto Gaudi2 Google GPU Graphcore Groq IBM INTEL Intel/Habana Labs Jensen Huang Llama2 MediaTek Meta Microsoft MLCommons mlPerf NeMo NeuReality NVIDIA Omniverse OpenAI Qualcomm Quantum RISC-V Sambanova SiMa.ai Snapdragon Synopsys Tenstorrent Vera Rubin Xilinx

Categories

  • AI and Machine Learning
  • DataCenter AI
  • In the News
  • Research Paper
  • Semiconductor
  • Video
Cambrian-AI Logo

Tags

AI AMD Apple Arm AWS Blackwell Blaize BrainChip Cadence Cerebras ChatGPT Data Center D Matrix Edge AI Esperanto Gaudi2 Google GPU Graphcore Groq IBM INTEL Intel/Habana Labs Jensen Huang Llama2 MediaTek Meta Microsoft MLCommons mlPerf NeMo NeuReality NVIDIA Omniverse OpenAI Qualcomm Quantum RISC-V Sambanova SiMa.ai Snapdragon Synopsys Tenstorrent Vera Rubin Xilinx

Recent Posts

  • Silicon Futures for June 2026 – COMPUTEX, Nebius Inflection, Qualcomm Investor Day, and more…
  • Qualcomm Lays Out New Data Center Roadmap For AI; Meta Buys It
  • As Agentic AI Reshapes Computing, Could It Reshape Qualcomm?

Archives

  • Home
  • Contact Us
  • Privacy Policy
  • X
  • RSS