The main message of Ribbon keynotes was that Ribbon has moved from a voice and SBC focus to a broader scope including data and analytics, such as UCaaS, Security-as-a-Service, Service Assurance-as-a-Service, SIP Trunking-as-a-Service, SD-WAN, and analytics. The company identified two major catalysts to the change in company scope: the August 2018 acquisition of enterprise SBC company Edgewater and the February 2019 acquisition of analytics company, anova. Additionally, the company confirmed that it is not pursuing service provider mobile market opportunities such as EPC or “full IMS” that are components of larget mobile equipment larger vendors. Instead, Ribbon is pursuing the mobile market by offering overlay analytics services that allow SP customers to derive value from mobile operators using monetization, network, marketing, and customer care.
The company’s core business is evolving. For instance, the company has doubled down on the Enterprise market with its Edgewater acquisition, and a result, it emphasized that it is unique because it has both service provider and enterprise SBC product offerings. The company has offered SBC on public cloud and reiterated that this capability has been available for one year. The company highlighted that it has a Tier-1 Mobile Network Operator VoLTE Interconnect contract win.
Analytics. The company sees its opportunity in the analytics market is to deliver technology to the customer for the following cases:
• Monetization (Targeting, Advertising, Sponsored Data, Campaign Efficacy)
• Network (Reduce Network Cost, Improved Quality of Experience, Proactive Alarms, Network Service Assurance)
• Marketing (Service bundles, churn reduction, product insights, inferred demographics)
• Customer Care (customer experience, bill shock, most probably cause)
We are impressed with Ribbon’s technical capabilities when it comes to using GPUs. The company has previously discussed the performance of its GPU based media interworking function as being 3.5x more powerful than a DSP-based system, or 9x more powerful than a CPU-based system and over 2x more power efficient. The company says its GPU-based systems are generally available for its D-SBC and i-SBC functions. It has evaluations at three operators: Tier-1 US MNO, Tier-1 US CSP, and Tier-1 Japan CSP. We would not be surprised if some of these customers begin deploying soon. One of its Tier-1 operators found that the GPU-based system costs half as much in capital spending and is 800% more power efficient.
Kandy, the white-label voice/messaging services brand of Ribbon discussed its success with customers such as BT, NUWAVE, AT&T, Hong Kong Broadband, Optus, and ecosystem partner, Five9. It enables UCaaS, CPaaS and WebRTC services. The company reiterated that it plans to go to market with partners, mainly service providers, instead of opening its own store-front that would compete with service providers. The company says its customer pipeline is growing.
Huawei hosted 700 analysts and media participants in Shenzhen China last week to attend its annual analyst summit, nick-named HAS2019. The company's high-level message was simple - the company is an innovator and is moving down the stack into semiconductors and is partnering with and funding university projects to develop basic research. This year’s message was different from than the prior-year meeting, but several transformative events have occurred between this meeting and the prior year's, most notably the 2Q18 shipment ban on ZTE, the US / China trade dispute and US efforts to thwart Huawei’s participation in the 5G infrastructure of its allies. Interestingly, during HAS2019, the Apple and Qualcomm announced their chip-supply and patent settlement, Samsung announced its foldable phone (which has been met with criticism), and Ericsson & Swisscom announced that the operator went live with its 5G network. All three of non-Huawei events highlighted the importance of Huawei’s chips and innovation announcements.
The company made announcements in its main keynote presentations on day one about seven different chip projects delivered recently or planned shortly. Chip-level is unusual for what are typically high-level presentations from a keynote-level presentation. These chips (seen in accompanying pictures) are:
The company shared more details about other chips in breakout sessions on the second and third days of the conference, as well. The point we are making, though, is that upper-level management provided significant detail about semiconductor developments at Huawei. Another relevant semiconductor-related point to make is that the company is de-emphasizing its reliance on Intel-based architecture and instead is focusing on devices such as ARM-based processors, as well as GPU, FPGA and NPU semiconductors.
We would be remiss if we did not mention some of the system-level announcements and observations related to 5G that were made at the HAS2019 conference, which include:
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We attended the Aruba Atmosphere 2019 user conference in Las Vegas. What we learned was that Aruba had made solid progress since last year’s Atmosphere conference. It has delivered on 802.11ax, SD-Branch (and SD-WAN), AI/ML, and Zigbee/Bluetooth 5.0, and elements of the IoT market. The company also introduced a new access point that was not hinted at last year, an 802.11ad outdoor access point. If we were to sum up the company’s main message for the show, it’s all about SD-Branch. The company took great efforts to emphasize that its portfolio has greater breadth than ever and is among the few vendors that can deliver all the networking a company may desire.
802.11ax. At last year’s event, the company told customers to expect 802.11ax products by Nov/Dec of 2018. Our market share tables show the company shipped 802.11ax for revenue in 4Q18. At the show, the company also announced some new, full-featured 802.11ax Access Points, the 530 and 550 series. These new Access Points support Bluetooth 5 and Zigbee, to allow support of IoT devices. These new 802.11ax Access Points will be available this month, April 2019.
802.11ad. The company also introduced a point to point outdoor access point. The new AP387 allows 1 Gbps at 400 meters using 802.11ad and has a backup of 5 GHz 802.11ac in case of inclement weather. This device has been shipping for a “couple months” according to the stage presentation (personnel at the show booth said since January 2019).
Machine Learning. Using Machine Learning for Client Steering and for managing Transient clients. At last year’s Atmosphere event, the company was just rolling out AI/ML to customers to improve networking capabilities for wireless users.
SD-Branch. The company disclosed that it has 25,000 SD-Branch “wins,” which means that it has many contracts to sell “at some point in the future” SD-WAN and other branch equipment systems such as WLAN and switching. At last year’s event, the company had not sold any SD-WAN, so this is a big accomplishment and signifies Aruba’s progress in delivering what it calls a Single Pane of Glass approach that includes four parts: SD-WAN orchestration, Dynamic Path Steering, Secure Connectivity, and Dynamic Segmentation.
Clearpass Device Insight. The company introduced its device recognition system, intended to simplify the discovery of IoT devices on the network. Clearpass Device Insight is available in April 2019. This cloud service uses a fingerprint database, as well as AI/ML, to find devices on the network, and then presents them by category on a single screen.
During the day-2 presentations, the company had some fun and CTO, Partha Narasimhan, showed a picture of him pretending to be an IT executive of a fictitious university.
Today Intel had a major Data Center event in San Francisco. It was a multi-hour announcement showcasing all the different products Intel is/will be launching.
Some interesting background that Intel talked about was that only 2% of worlds data has been analyzed and a 5G will be a major driver move compute to the edge. They also touted that over 50% of AI workloads are inference and runs best on Intel (X86). Noticeably absent at the beginning of the presentation was Intel’s work on training.
We found the most interesting parts of the announcement being that AWS talked about custom versions of Intel’s CPU and a Up to 14X inference improvement from just July 2017 in its XEON processors. Overall there is a 30% gen/gen improvement in XEON, the biggest jump in 5 years. While staying at 10NM, Intel is able to continue to squeeze performance gains out of the server.
It is important as we hit the limits of process geometry that everything be accelerated, especially with Intel having a similar view of AI workloads and that’s what we saw with Intel. New Optane memory, new persistent memory, faster Adapter cards which will lead to more Smart NIC announcements, and a 10nm FPGA. It was clear at the event that large cloud provers like AWS, Azure, and Tencent are looking at all avenues to increase performance and reduce power consumption via software and hardware advancements.
Some interesting highlights included AWS touting over 100 unique instances that leverage Intel processers with more SAP instances running on AWS than anywhere else and Formula 1 using of 65 years of historic race data to train its models in order to make real-time race predictions.