AWS re:Invent 2019 keynote: ML and quantum strikes amid modernisation and transformation message

Posted On Mar 4, 2020 By admin With Comments Off

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“If you wake up on a Casper mattress, used to work with a Peloton before breakfast, Uber to your desk at a WeWork, require DoorDash for lunch, take a Lyft home, and get dinner through Postmates, ” wrote The Atlantic’s Derek Thompson in October, “you’ve interacted with seven companionships that will collectively lose virtually $14 billion this year.”

It is a well-worn line, and as WeWork’s collapse demonstrated, there is plenty of pushback when it comes to the gig economy supporters. Yet in the early stages of his re: Invent keynote today, Amazon Web Work( AWS) CEO Andy Jassy cited Uber, Lyft and Postmates, as well as Airbnb, as a few examples of the overall theme topic around conversion. “These startups have disrupted longstanding industries that have been around for a long time from a abide start, ” said Jassy.

An eyebrow-raising opening, perhaps. More, backed by the re: Invent band once more with half a dozen lyrics wandering from Van Halen to Queen- AWS has heard of the onetime even if Billie Eilish hasn’t– the rationale was straightforward. If you’re making a major changeover, then you need to get your ducks in a row; senior leadership needs to be on board, with top-down aggressive aims and sufficient training.

“Once you decide as a company that you’re going to make this transition to the cloud, your developers want to move as fast as possible, ” said Jassy. This beget the now-standard discussion around the sheer breadth of services available to AWS customers- more than 175 at the most recent count- with Jassy noting that certain unnamed adversaries were’ good at being checkbox heroes’ but little else.

This was not the only jibe the AWS chief exec moored on the opponent. From change, another key element for discussion was around modernisation. This was illustrated by a’ moving house’ slide( below) which was self-explanatory in its message. Jassy took additional time to point out the mainframe and review notices. While IBM and specially Oracle have been long-term targets, the Microsoft box is an interesting addition. Jassy again noted AWS’ supremacy with regard to Gartner’s IaaS Magic Quadrant- including the gap between AWS and Microsoft was coming bigger.

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Last year, the two big headlines were around blockchain and hybrid cloud. Amazon Managed Blockchain did what it said on the tin, but AWS Outposts aimed to deliver a’ absolutely consistent experience’ by bringing AWS business, infrastructure and operating frameworks to’ virtually any’ on-prem facility. Google Cloud’s launch- or relaunch- of Anthos was seen as a move in the same vein, while Azure Arc was verified by industry watchers as Microsoft’s response.

This is prescient as slew of such products revises could be seen as an evolution of 2018’s re: Invent proclamations. Instead of storage, Jassy this time focused on compute; instances and containers.

One section of news did leak out last week around AWS building a second-generation custom server chip- and this was the first announcement which Jassy justified. The M6g, R6g, and C6g Instance for EC2 were launched based on the AWS Graviton 2 processors. “These are pretty exciting, and they support a significant improvement over the first instance of the Graviton chips, ” said Jassy. Another instance propel was seen as another ameliorate. While AWS Inferentia was launched last year as a high-performance machine learning inference chip, this year determined Inf1 Instance for EC2, powered by Inferentia chips.

On the container surface, AWS expanded its render with Amazon Fargate for Amazon EKS. Again, the width of options to patrons was emphasised; Elastic Container Assistance( ECS) and EKS, or Fargate, or a mixture of both. “Your developers don’t want to be held back, ” said Jassy. “If you look across the platform, this is the bar for what people want. If you look at estimate,[ useds] want the most number of specimen, the most powerful machine learning inference instances, GPU … biggest in-memory … access to all the different processor alternatives. They demand various receptacles at the managed level as well as the serverless level.

“That is the bar for what people want with compute- and the only ones who can give you that is AWS.”

Jassy then moved to storage and database, but is not digress too far from his original topic. Amazon Redshift RA3 Instances with Managed Storage enables a user to separate storage from calculate, while AQUA( Advanced Query Accelerator) for Amazon Redshift throws the equation alone. Instead of moving the storage to the compute, users can now move compute to the storage. “What we’ve built with AQUA is a big high-speed cache architecture on top of S3, ” said Jassy , note it raced on a souped-up Nitro chip and custom-designed FGPAs to speed up aggregations and filtering. “You are now able to do the compute on the raw data without having to move it, ” he added.

Summing up the database side, the sense was not simply one of scope, but one that memo how a Swiss Army knife approach would not work. “If you require the right tool for the right job, that gives you different productivity and know-how, you demand the claim purpose-built database for the number of jobs, ” showed Jassy. “We have a very strong belief inside AWS that there is not one tool to rule the world. You should have the right tool for the right job to help you waste less money, be more productive, and be enhanced “the consumers ” experience.”

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While various emerging technologies were announced and mentioned in the second half of last year’s keynote, the big-hearted gotcha arrived the day before. Amazon Braket, in preview today, is a fully coped AWS busines which enables developers to begin experimenting with computers from quantum equipment providers in one place, while such partnerships has been put in place between Amazon and the California Institute of Technology( Caltech) to collaborate on the research and development of new quantum technologies.

On the machine learning front, AWS noted that 85% of TensorFlow running in the vapour operates on its platform. Again, the topic remained: not only every tool for the job, but the right tool. AWS research noticed … … that 90% of data scientists use multiple frameworks, including PyTorch and MXNet. AWS subsequently has distinct units working on each framework.

For the pre-keynote makes, as sister publication AI News reported, health was a key area. Transcribe Medical is set to be utilised to move doctors’ indicates from the barely readable write to the cloud, and are well aware of medical speech as well as standard discourse. Brent Shafer, the CEO of Cerner, took to the stage to elaborate on ML’s have applied for healthcare.

With regard to SageMaker, SageMaker Operators for Kubernetes was previously launched to let data scientists utilizing Kubernetes train, carol, and deploy AI simulations. In the keynote, Jassy also introduced SageMaker Notebooks and SageMaker Experiments as part of a wider Studio suite. The onetime offered one-click diaries with elastic estimate, while the latter allowed users to capture, organise and search every step of construct, set, and adjusting their mannequins automatically. Jassy said the company’s view of ML’ continued to evolve’, while CCS Insight VP enterprise Nick McQuire said from the occurrence that these were’ big improvements’ to AWS’ main machine learning product.

As the Formula 1 season comes down to a close at the weekend, the timing was good to put forth the latest in the sporting brand’s relationship with AWS. Last year, Ross Brawn took to the stage to expand on the partnership announced a few months before. This time, the two companies strengthened they had worked on a project called Computational Fluid Dynamics Project; according to the duo more than 12,000 hours of calculate time were utilised to help car design for the 2021 season.

Indeed, AWS’ strategy has been participating in soften the industry watchers up with a few nice customer makes in the preceding weeks before thumping them with a deluge at the happen itself. This time round, November ascertained Western Union come on board with AWS its’ long-term strategic cloud provider’, while the Seattle Seahawks became the latest sporting brand to move to Amazon’s vapour with machine learning expertise, after NASCAR, Formula 1 and the LA Clippers among others.

At the happening itself, the largest customer win was Best Western Hotels, which is going all-in on AWS’ infrastructure. “Thats really not” an idle statement, either: the hotel chain is going across the board, from analytics to machine learning, the standard database, compute and storage, as well as consultancy.

This story may be updated as more report breaks.

Interested in hearing industry captains discuss themes like this and sharing its own experience and use-cases? Attend the Cyber Security& Cloud Expo World Series with upcoming affairs in Silicon Valley, London and Amsterdam to learn more.