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

NVIDIA Outperforms Itself Once Again

by Karl Freund | Dec 3, 2020 | AI and Machine Learning, In the News, Semiconductor

When the only company you can beat is yourself, what do you do? After all, you are the leader, right? And nobody else is even suited up and on the court. Some companies might rest on their laurels, saving money and slowing down R&D. NVIDIA is not one of those...

AMD Goes After NVIDIA With New GPU For The Datacenter

by Karl Freund | Dec 2, 2020 | AI and Machine Learning, DataCenter AI, In the News, Semiconductor

Today AMD announced its first data center GPU to compete in high-performance computing (HPC) and Artificial Intelligence (AI). Last year, the company announced that it would bifurcate its GPU technology into two architectures: CDNA for computation and RDNA for...

Why Can’t NVIDIA Be Bested In MLPerf?

by Karl Freund | Nov 8, 2020 | AI and Machine Learning, In the News

MLPerf, an industry consortium of over 70 companies and institutions, has released the second round of AI Inference processing results. These benchmarks now represent production applications from all major areas of AI deployment today. But only a few technologies...

The 2020 AI HW Summit: Beware The Benchmarks

by Karl Freund | Oct 28, 2020 | AI and Machine Learning, In the News

The 3rd annual AI Hardware Summit concluded last week, after four days of mind-bending presentations, panels and discussions about the Cambrian Explosion in AI. For well over two years, many of us industry observers have waited for the players, big and small, to...

Tenstorrent’s Holistic Stack Of AI Innovation

by Karl Freund | Oct 22, 2020 | Research Paper

The explosive growth of AI processing in data center and edge environments has induced AI startups and established firms alike to develop silicon to handle the massive processing demands of neural networks. Inference processing, in particular, is an emerging...
« Older Entries
Next Entries »

More Recent AI News>>

  • Cognichip Creates Physics-Informed AI Models To Speed Chip Design
  • Nvidia And d-Matrix Announce Collaboration Roadmap For Fast Inference
  • Could EDA AI Startups Be The New Claude Of Chip Design?
  • Disaggregated Inference Is Splitting AI Hardware In Two
  • Infleqtion Adds 50 Logical-Qubit System To Chicago Quantum Hub

Companies

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

Recent Posts

  • Silicon Futures for September 2026 – Snapdragon Summit, the Bank of NVIDIA, Hugging Face, High-NA
  • Cognichip Creates Physics-Informed AI Models To Speed Chip Design
  • Nvidia And d-Matrix Announce Collaboration Roadmap For Fast Inference

Archives

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