Week of June 30 Hot Takes on Intel, NVIDIA, and Zoom

Week of June 30: Hot Takes on Intel, NVIDIA, and Zoom

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Week of June 30 Hot Takes on Intel, NVIDIA, and Zoom

The News: Over the past few days and heading into the weekend there were several interesting stories that broke. Over the next week we may add further coverage with additional in depth research notes, but wanted to put some initial thoughts out for consideration.

Here are the stories.

Intel Updates Features and Timeline for Sapphire Rapids 

NVIDIA announces Breakthrough Performance in its ML Perf Benchmarks

Zoom Acquires Kites GmhB to Accelerate its Language Translation

Analyst Takes: Here are some quick hit insights on these three stories making headlines this week.

Intel Updates Features and Timeline for Sapphire Rapids

In a blog post that came out this Tuesday, Intel’s Lisa Spelman provided a number of updates on the progress of the company’s next 10nm datacenter node, Sapphire Rapids. The update had a number of feature enhancements that would be included most notably support for Advanced Matrix eXtensions (AMX), which is an important feature for DL Boost. Other enhancements included its Data Streaming Architecture (DSA), making Sapphire Rapids the first Intel chip to include DSA. Lastly, the note confirmed that Sapphire Rapids will feature up to 64GB of HBM2.

The announcement also included updates to the timeline, pushing the production ramp into 1H 2022, which wasn’t really much of a push given the company had alluded to that in various updates over the past several months. In reality, there does appear to be a small slip of about a quarter for Sapphire Rapids, and I was happy to see Intel be transparent of this new timeline. The additional time is set to be used to focus on optimizing and testing to meet quality expectations.

NVIDIA announces Breakthrough Performance in its ML Perf Benchmarks

ML Perf is a 3+ year old industry benchmarking group that focuses on AI/ML. The benchmarks are based on today’s most popular AI workloads and scenarios, covering computer vision, natural-language processing, recommendation systems, reinforcement learning and more, and are supported by many of the world’s leading companies.  All in all, designed to help the market understand the underlying technologies that enable the most rapid training of new AI models.

NVIDIA, unsurprisingly has been an out and out winner in ML Perf. And while companies including Intel, Graphcore, and Google have all made headway, the most recent benchmarks once again show NVIDIA’s dominance in this arena.

Highlights for NVIDIA in this round included:

  • NVIDIA A100 and NVIDIA DGX SuperPOD Set Records For Commercially Available Solutions Across All Benchmarks​
  • NVIDIA AI Delivers Up to 6.5x More Performance Per GPU in 2.5 Years With Full Stack Innovation​
  • NVIDIA AI Improved The Most Over The Last Round, Delivering Up to 2.1x Higher Performance​
  • Growing Customer Adoption Of Industry Standard MLPerf Benchmarks

Clearly, NVIDIA is the undisputed leader in this space and the company appears relentless to maintain its position. Competition from global technology leaders should continue to push the envelope for more efficient model training and deployment, but I expect NVIDIA to maintain its position for the foreseeable future.

Zoom Acquires Kites GmhB to Accelerate its Language Translation

This week, Zoom announced the acquisition of a company known as Kites (short for Karlsruhe Information Technology Solutions), which has built a real-time translation and transcription software. This acquisition is a well-timed move to simplify communication on the platform for people who speak different languages by adding greater translation capabilities to its video conferencing app. Prior to the acquisition, the company had translation for English to other languages, but given the broad deployment of Zoom around the world, a wider translation capability made sense.

While Kites GmhB is a relatively unknown company, the notable part of this deal is how this helps Zoom extend its global footprint and makes the platform more powerful for meetings and in the future larger events, which is also something Zoom has been focused on. Natural Language Processing and Translation can remove global barriers in real-time and I see this as a positive for Zoom and a feature that will be in any collaboration tool that intends to be taken seriously in the coming years.

Disclosure: Futurum Research is a research and advisory firm that engages or has engaged in research, analysis, and advisory services with many technology companies, including those mentioned in this article. The author does not hold any equity positions with any company mentioned in this article.

Other insights from Futurum Research:

Canonical Announces Ubuntu Support for RISC-V

Crypto Starts to Look Like the Early Days of the Internet

Rakuten, NEC, and Intel Score 5G SA Core Breakthrough

Image Credit: NVIDIA

 

The original version of this article was first published on Futurum Research.

Daniel Newman is the Principal Analyst of Futurum Research and the CEO of Broadsuite Media Group. Living his life at the intersection of people and technology, Daniel works with the world’s largest technology brands exploring Digital Transformation and how it is influencing the enterprise. From Big Data to IoT to Cloud Computing, Newman makes the connections between business, people and tech that are required for companies to benefit most from their technology projects, which leads to his ideas regularly being cited in CIO.Com, CIO Review and hundreds of other sites across the world. A 5x Best Selling Author including his most recent “Building Dragons: Digital Transformation in the Experience Economy,” Daniel is also a Forbes, Entrepreneur and Huffington Post Contributor. MBA and Graduate Adjunct Professor, Daniel Newman is a Chicago Native and his speaking takes him around the world each year as he shares his vision of the role technology will play in our future.