Accelerate NFVi Workloads For 5G Deployments Webinar: Watch On-Demand Now
The recently-held “Accelerate NFVi Workloads For 5G Deployments” webinar highlights the collaboration between Juniper Networks, HCL Technologies, and Intel® to solve network performance challenges and allow Contrail users to experience increased overall server performance and utilization for vRouter-based infrastructures in telecommunications environments.
FPGA-based reference design from Algo-Logic and Intel cuts high-speed financial trading latency by 3.8X
Algo-Logic and Intel have developed a high-speed reference framework design that offloads the network stack required for high-speed financial trading to logic instantiated in an Intel® Stratix® 10 FPGA on the Intel® FPGA Programmable Acceleration Card (Intel® FPGA PAC) D5005 platform. The reference design includes: A fast PCIe interface (the Algo-Logic Fast Data Mover) A C/C++ to FPGA business logic implementation area that serves as a target for logic developed using high level synthesis (HLS) A TCP/IP offload engine An ultra-low-latency (ULL) 10GbE media access control (MAC) According to the conclusion in a new White Paper titled “Low-Latency Data Mover Framework from Algo-Logic with Intel® FPGA PAC D5005,” the reference design achieves 3.8X lower latency compared to a design with just an Ethernet offload engine. 1 These innovations significantly accelerate low-latency trading system development while offering the flexibility to add proprietary trading algorithms to the FPGA. Click on the link above for more technical details. Notices & Disclaimers 1. Testing by Algo-Logic on October 26, 2020. Server configuration: HPE DL380 G10, CPU = Intel® Xeon® Gold processor 6154 @ 3.00 GHz; DRAM = 128 GB total, and RHEL* 7.6. Production Intel FPGA PAC D5005. For more information, a benchmark report is available under NDA. Contact your sales rep for more information. Intel technologies may require enabled hardware, software or service activation. No product or component can be absolutely secure. Your costs and results may vary. Intel does not control or audit third-party data. You should consult other sources to evaluate accuracy. © Intel Corporation. Intel, the Intel logo, and other Intel marks are trademarks of Intel Corporation or its subsidiaries. Other names and brands may be claimed as the property of others.SmartNICs based on Intel® FPGAs Boost Converged Broadband Network Performance
To meet consumer demands, telco providers that offer both wireless and wireline access to customers rely on dual, complex fixed and mobile infrastructures that must constantly be upgraded and maintained at great cost. Consequently, telco Internet providers continuously explore new ways to reduce costs and create new revenue streams. Many operators, for example, are eyeing 5G fixed-mobile convergence (FMC) to lower costs and add new agile services. FMC also helps telco providers to meet the customer needs. Both consumer and business customers are looking for multi-access connectivity and a seamless service experience. Innovations such as software-defined networking (SDN) and network function virtualization (NFV), are key to enabling the network transformation at the telco’s edge. These innovations support new capabilities including the User Plane Function (UPF), the Access Gateway Function (AGF), and Broadband Network Gateway (BNG). The combination of these new capabilities enables higher throughput and lower latency for traffic between the telco central office (CO) and broadband customers, both wireless and wireline, through a newly shared infrastructure. Finding the right hardware on which to host these new virtual network functions (VNFs) at the network edge is a big challenge because telco COs must upgrade infrastructure while meeting physical space, power, and cooling constraints. The hardware solution also must be sufficiently cost-effective to support the additional, ever present goals for reducing capital expenditures (CapEx) and operating expenses (OpEx). Finally, the solution needs to scale to handle tens of thousands―or even hundreds of thousands―of subscriber connections. SmartNICs built with Intel® FPGAs provide solutions to these challenges while still offering the advantages of a commercial off-the-shelf (COTS) solution. One such SmartNIC, just announced by Silicom, is the Silicom FPGA SmartNIC N5010. This SmartNIC is a high-performance, programmable PCIe server adapter that combines an Intel Stratix 10 DX FPGA – which integrates high performance, high-bandwidth memory (HBM) – and an Intel® Ethernet 800 series adapter. Use these SmartNICs to accelerate the UPF, AGF, and BNG functions and to realize many performance benefits including high-throughput packet processing, smart and effective packet load balancing to CPU cores, and Hierarchical Quality of Service (HQoS). These capabilities are crucial to support high bandwidth and low latency in converged access networks. A new Solution Brief from Intel titled “SmartNICs with Intel® FPGAs Boost Performance for Converged Broadband Networks” discusses these topics in more detail. Notices & Disclaimers Intel technologies may require enabled hardware, software or service activation. No product or component can be absolutely secure. Your costs and results may vary. © Intel Corporation. Intel, the Intel logo, and other Intel marks are trademarks of Intel Corporation or its subsidiaries. Other names and brands may be claimed as the property of others.ServeTheHome.com publishes in-depth, hands-on review of the Supermicro SYS-1019P-FHN2T SuperServer with an Intel® FPGA Programmable Acceleration Card N3000
ServeTheHome.com (STH), a Web site that bills itself as “the IT professional's guide to servers, storage, networking, and high-end workstation hardware,” recently published a hands-on review of the Supermicro SuperServer SYS-1019P-FHN2T – a 1U edge server based on the Intel® Xeon® Scalable processor with an integrated Intel® FPGA Programmable Acceleration Card (Intel® FPGA PAC) N3000 – which can be used to accelerate 5G and network functions virtualization (NFV) workloads for telecommunications equipment manufacturers (TEMs), virtual network functions (VNF) vendors, system integrators, and telcos. The article, written by STH’s Editor in Chief Patrick Kennedy, is titled “Supermicro SYS-1019P-FHN2T with Intel PAC N3000 Hands-on” and includes a 12-minute embedded video featuring Kennedy, who visited the Supermicro offices in person to review the Supermicro SYS-1019P-FHN2T SuperServer with a hands-on perspective. In discussing the Intel FPGA PAC N3000, Kennedy writes: “The PAC N3000 was designed for systems like the Supermicro SYS-1019P-FHN2T as it is designed for 5G service provider edge deployments. Instead of this FPGA card having to be part of a larger custom solution, Intel can offer the card in a PCIe form factor, housed in the SYS-1019P-FHN2T making it flexible.” Kennedy has been running STH since 2009. This article and the embedded video pack a lot of Kennedy’s insights regarding edge servers, their design, and their myriad uses. The article concludes with Kennedy writing: “The global 5G mobile build-out is a huge opportunity. Companies like Supermicro and Intel have systems like the Supermicro SYS-1019P-FHN2T with the Intel FPGA PAC N3000 precisely to address the unique requirements of the 5G edge deployments.” Click on the link above to read the full article on the STH site. Intel’s silicon and software portfolio empowers our customers’ intelligent services from the cloud to the edge. Notices & Disclaimers Intel technologies’ features and benefits depend on system configuration and may require enabled hardware, software or service activation. Performance varies depending on system configuration. Check with your system manufacturer or retailer or learn more at www.intel.com. Software and workloads used in performance tests may have been optimized for performance only on Intel microprocessors. Performance tests, such as SYSmark and MobileMark, are measured using specific computer systems, components, software, operations and functions. Any change to any of those factors may cause the results to vary. You should consult other information and performance tests to assist you in fully evaluating your contemplated purchases, including the performance of that product when combined with other products. For more complete information visit www.intel.com/benchmarks. Performance results may not reflect all publicly available security updates. No product or component can be absolutely secure. Intel does not control or audit third-party data. You should consult other sources to evaluate accuracy. Your costs and results may vary. Intel disclaims all express and implied warranties, including without limitation, the implied warranties of merchantability, fitness for a particular purpose, and non-infringement, as well as any warranty arising from course of performance, course of dealing, or usage in trade. © Intel Corporation. Intel, the Intel logo, and other Intel marks are trademarks of Intel Corporation or its subsidiaries. Other names and brands may be claimed as the property of others.Reinventing Storage for Social Networks with Intel® Xeon® Gold CPUs, Intel® Optane™ persistent memory, Intel® SSDs, and the Intel® PAC with Intel® Arria® 10 GX FPGA
Social networking is hugely data intensive. Consequently, data storage consumes a significant part of the budget for VK, Russia’s largest social network. In 2019, VK had 97 million monthly active users. 1 Every day, users view 9 billion posts and 650 million videos, and they exchange 10 billion messages. 2 They tap the “like” button a billion times a day. 1 Over the course of a year, VK users upload hundreds of petabytes of new data, including photos and videos. 2 VK has modernized its tiered storage using Intel® Xeon® Gold CPUs, Intel® Optane™ persistent memory, Intel® Optane™ SSDs, Intel® SSDs with non-volatile memory express (NVMe), and Intel® FPGA Programmable Acceleration Cards (Intel® PACs) with Intel® Arria® 10 GX FPGAs. As a result, VK expects to realize significant financial savings while improving performance. More specifically: Upgrading the server processor from the Intel Xeon Gold 6230 processor to the Intel Xeon Gold 6238R processor cut the compute cost by 40 percent and improved performance per watt by 72 percent 2 , according to VK. VK introduced Intel Optane persistent memory for the rating counter servers that support the newsfeed, migrating data away from more expensive DRAM. VK upgraded the storage for frequently accessed data in its content delivery network (CDN) to Intel SSDs with 3D NAND technology, and moved the most frequently used data to Intel Optane SSDs. VK is deploying Intel PACs with Intel Arria 10 GX FPGAs to reduce storage requirements and provide faster image conversion using the FPGA-based, high-performance CTAccel image-processing accelerator to convert images on-the-fly from a stored, high-resolution master as they are requested by users. VK’s image storage strategy eliminates the need to store multiple versions of the same image at different resolutions and saves storage space. VK reported that it was able to consolidate servers at a ratio of 2:1 using the new storage solution while supporting the continued data growth with storage of up to 0.408 PB in 1U servers and reducing power and cooling costs. 2 A new, detailed case study with ample technical details titled “Reinventing Storage for Social Networks with Intel® Technology“ is now available for download on the Intel Web site. Click on the link to review this new case study and to download the PDF. Intel’s silicon and software portfolio empowers our customers’ intelligent services from the cloud to the edge. Notices & Disclaimers 1 Data from https://vk.com/about 2 These results were reported to Intel by VK based on configurations that included the listed Intel components. Tests carried out by VK April-November 2019. Configurations: OLD CDN servers: 2 x Intel® Xeon® processor E5-2670 v2 or 2 x Intel® Xeon® processor E5-2680 v4, SATA SSDs, DRAM, 2 x 10 Gb/s Ethernet cards NEW CDN servers: 2 x Intel® Xeon® Gold 6238R processors or 2 x Intel® Xeon® Gold 6230, Intel® Optane™ SSD DC P4800X SSDs, 6 x Intel® SSD D5-P4320, DRAM, SATA SSD, 2 x 25 Gb/s Intel® Ethernet Adapter XXV710-DA2. Software: cache_api, nginx, Automated Certificate Management Environment (ACME). OLD rating counters servers: 2 x Intel® Xeon® processor E5-2680 v4, SATA SSD (boot device), DRAM, 2 x 10 Gb/s Ethernet cards NEW rating counters servers: 2 x Intel® Xeon® Gold 6238R processors or 2 x Intel® Xeon® Gold 6230, 12 x Intel® Optane™ persistent memory, DRAM, SATA SSDs (boot device), 2 x 25 Gb/s Intel® Ethernet Adapter XXV710-DA2. Software: customized version of Memcached. Microcode for Intel® Xeon® Gold 6230: 0x500002c Microcode for Intel® Xeon® Gold 6238R: 0x0500002f 2 Intel technologies’ features and benefits depend on system configuration and may require enabled hardware, software or service activation. Performance varies depending on system configuration. No product or component can be absolutely secure. Check with your system manufacturer or retailer or learn more at www.intel.com. Software and workloads used in performance tests may have been optimized for performance only on Intel microprocessors. Performance tests, such as SYSmark and MobileMark, are measured using specific computer systems, components, software, operations and functions. Any change to any of those factors may cause the results to vary. You should consult other information and performance tests to assist you in fully evaluating your contemplated purchases, including the performance of that product when combined with other products. For more complete information visit www.intel.com/benchmarks. Performance results may not reflect all publicly available security updates. No product or component can be absolutely secure. Optimization Notice: Intel’s compilers may or may not optimize to the same degree for non-Intel microprocessors for optimizations that are not unique to Intel microprocessors. These optimizations include SSE2, SSE3, and SSSE3 instruction sets and other optimizations. Intel does not guarantee the availability, functionality, or effectiveness of any optimization on microprocessors not manufactured by Intel. Microprocessor-dependent optimizations in this product are intended for use with Intel microprocessors. Certain optimizations not specific to Intel microarchitecture are reserved for Intel microprocessors. Please refer to the applicable product User and Reference Guides for more information regarding the specific instruction sets covered by this notice. Notice Revision #20110804. Intel does not control or audit third-party data. You should consult other sources to evaluate accuracy. Your costs and results may vary. Intel disclaims all express and implied warranties, including without limitation, the implied warranties of merchantability, fitness for a particular purpose, and non-infringement, as well as any warranty arising from course of performance, course of dealing, or usage in trade. © Intel Corporation. Intel, the Intel logo, and other Intel marks are trademarks of Intel Corporation or its subsidiaries. Other names and brands may be claimed as the property of others.Financial Times article discusses Sulubaaï Environmental Foundation’s efforts to save coral reefs using smart underwater cameras and AI
Last week, the Financial Times published an article by Adam Green titled “Tech knowhow gives new lease of life to marine habitats.” The article discusses various efforts underway to combat the demise of sensitive marine ecosystems, especially coral reefs, and the first project discussed is the Sulubaaï Environmental Foundation’s efforts to regrow and rebuild Pangatalan Island’s marine protected area in the Philippines. This project, done on conjunction with Accenture and Intel, has developed an innovative solution for recreating and restoring the island’s coral reefs to their former health that includes the addition of AI capabilities to underwater cameras that automatically capture and process tens of thousands of images of fish and other marine species to identify and monitor their migration patterns and their daily life in the reef. The Financial Times article quotes Patrick Dorsey, a Vice President in the Intel Programmable Solutions Group, who discusses the reasoning behind the creation of the automated camera system, which is both more accurate and less disruptive than human divers when used to catalog ongoing changes to the reef’s marine life. The smart underwater video cameras employ Accenture’s Video Analytics Services Platform (VASP), which provides a toolset for rapidly building and deploying AI capabilities. Accenture’s smart underwater video cameras located near the concrete scaffolds employ Accenture’s VASP, which is powered by multiple Intel technologies including Intel® Xeon® CPUs, Intel® FPGA Programmable Acceleration Cards (PACs), and the Intel® Neural Compute Stick 2 powered by the Intel® Movidius™ Myriad™ X Vision Processing Unit (VPU) and the Intel® Distribution of OpenVINO™ toolkit. For more information about the technology behind this project, see “Accenture, the Sulubaaï Environmental Foundation, and Intel partner to create the CORaiL underwater vision system to help restore fragile coral reef ecosystems.” Notices and Disclaimers Intel technologies may require enabled hardware, software or service activation. No product or component can be absolutely secure. Your costs and results may vary. Intel does not control or audit third-party data. You should consult other sources to evaluate accuracy. © Intel Corporation. Intel, the Intel logo, and other Intel marks are trademarks of Intel Corporation or its subsidiaries. Other names and brands may be claimed as the property of others.Free Webinar: Offload Hyperscale DDoS Attacks to SmartNICs and see a 300X performance improvement. July 30
Distributed Denial of Service (DDoS) attacks are increasing in size, complexity, and severity. Service providers demand virtual security solutions that offer flexible and robust defenses against these increasingly frequent attacks. The F5 Networks BIG-IP VE for SmartNICs solution instantiated on an Intel® FPGA Programmable Acceleration Card N3000 can handle large DDoS attacks – as much as 300X larger – than software-only implementations while reducing TCO by approximately 47%. Now you can learn more about this powerful cloud and enterprise security solution in a free Webinar being held on July 30. The Webinar is jointly sponsored by F5 and Intel. Click here for more details and registration information. For additional details about this solution, see “F5 Networks BIG-IP VE for SmartNICs uses Intel® FPGA Programmable Acceleration Card N3000 to efficiently block incoming DDoS attacks in cloud environments while lowering TCO.” Intel’s silicon and software portfolio empowers our customers’ intelligent services from the cloud to the edge. Notices and Disclaimers Intel does not control or audit third-party data. You should consult other sources to evaluate accuracy. Software and workloads used in performance tests may have been optimized for performance only on Intel microprocessors. Performance tests, such as SYSmark and MobileMark, are measured using specific computer systems, components, software, operations and functions. Any change to any of those factors may cause the results to vary. You should consult other information and performance tests to assist you in fully evaluating your contemplated purchases, including the performance of that product when combined with other products. For more complete information visit www.intel.com/benchmarks. Performance results are based on testing as of dates shown in configurations and may not reflect all publicly available updates. See backup for configuration details. No product or component can be absolutely secure. Your costs and results may vary. Intel technologies may require enabled hardware, software or service activation. © Intel Corporation. Intel, the Intel logo, and other Intel marks are trademarks of Intel Corporation or its subsidiaries. Other names and brands may be claimed as the property of others. WWT’s Advanced Technology Center explains why Intel® FPGA PACs are often a superior choice for data center acceleration
The Advanced Technology Center at World Wide Technology (WWT), a technology solution provider and Intel® Partner Program member, actively tests and demonstrates data center applications ranging from accelerated analytics to database management, cybersecurity, and even supercomputing. Earlier this month, the company published a blog about WWT’s experiences with using Intel® FPGA Programmable Acceleration Cards (Intel® FPGA PACs) to accelerate data center workloads, improve workload performance, and free server CPU processing cycles so that they can be employed for revenue-generating workloads. Zach Splaingard, Earl Dodd, and Matthew Halcomb at WWT wrote this blog, which is titled “FPGAs Emerge as the Flexible Acceleration Choice.” The WWT blog begins with a short case study: “A mid-size manufacturer needed to add cybersecurity and network monitoring workloads to its general-purpose data center, creating a spike in demand for compute power. Deploying a mainstream network interface card would have resulted in critical (and costly) packet loss and degraded performance. “The better solution: an… Intel FPGA PAC, customized for the cybersecurity workload at hand. Adding the PAC card relieved the server CPU of the heaviest compute tasks, freeing up processing resources for essential business applications and services.” The blog then notes that several technologies from Intel and from members of the Intel Partner Program contribute to making it easier than ever to employ Intel® FPGAs in Intel FPGA PACs for data center workload acceleration: “New Intel FGPA technologies offer fast deployment and standardization through Intel PACs and the Intel® Acceleration Stack. Independent solution vendors have pre-designed FPGA accelerator solutions that seamlessly integrate into shared libraries, software frameworks and custom software applications.” The blog then summarizes the benefits gained by using Intel FPGA technology in the data center: “In a ‘suitability matrix’ of accelerator choices, FPGAs are a stand out option, especially when measured against other accelerator options across a range of metrics, including relatively low price, performance per-watt per-volume, ruggedness, security, time to market, increased lifecycle and total cost of ownership (TCO). FPGAs are the only solution in which the hardware can be tailored repeatedly to fit the software exactly. “In short, FPGAs win in spaces where the workflow is highly dynamic and flexible, where power consumption must be minimized, low latency is a priority or the accelerator must function independently from the CPU.” Finally, the WWT blog discusses three different case studies for Intel FPGA PAC use in the data center: Edge to Core – When you need a flexible, hardened edge solution Supercomputing – Overcoming power and cooling demands In-store image recognition analytics These case studies lead to a concise conclusion in the WWT blog: “…WWT finds that FPGAs are often the superior choice over GPUs and ASICs for compute and data acceleration.” For more information, be sure to read the WWT blog: FPGAs Emerge as the Flexible Acceleration Choice. Intel’s silicon and software portfolio empowers our customers’ intelligent services from the cloud to the edge. Notices & Disclaimers Intel does not control or audit third-party data. You should consult other sources to evaluate accuracy. Intel technologies may require enabled hardware, software or service activation. No product or component can be absolutely secure. Your costs and results may vary. © Intel Corporation. Intel, the Intel logo, and other Intel marks are trademarks of Intel Corporation or its subsidiaries. Other names and brands may be claimed as the property of others.F5 Networks BIG-IP VE for SmartNICs uses Intel® FPGA Programmable Acceleration Card N3000 to efficiently block incoming DDoS attacks in cloud environments while lowering TCO
Tom Atkins, a Product Marketing Manager at F5 Networks, has just published a blog that describes the company’s fully integrated BIG-IP Virtual Edition (VE) solution, which efficiently blocks incoming Distributed Denial of Service (DDoS) attacks in cloud environments using hardware acceleration to realize significant performance and total cost of ownership (TCO) gains. The solution consists of the F5 Networks BIG-IP AFM (Advanced Firewall Manager) Virtual Edition integrated with the Intel® FPGA Programmable Acceleration Card (Intel® FPGA PAC) N3000 SmartNIC. In his blog, Atkins says that the combination of the F5 Networks BIG-IP AFM and the Intel FPGA PAC N3000 SmartNIC frees up CPU cycles for other functions and improves overall DDoS mitigation capacity. The result: The F5 Networks BIG-IP VE solution can handle DDoS attacks as much as 300X larger than software-only implementations while reducing TCO by approximately 47% by migrating CPU-intensive DDoS mitigation tasks including network threat intelligence, machine learning, packet-based analysis and white listing to the SmartNIC, which frees up high-value CPU cores to run revenue-generating cloud applications instead. For more information, read Atkins’ blog titled “Mitigate DDoS Attacks up to 300x Greater in Magnitude in Cloud Environments: Introducing BIG-IP VE for SmartNICs,” and then watch the associated 10-minute video from F5 Networks titled “Boosting BIG-IP VE Performance with Hardware Acceleration Technologies.” The video features F5 Networks Senior Strategic Architect Jason Rahm, who delves even further into the technical details of this topic. (Note: In the video, Rahm states that the F5 Networks BIG-IP AFM VE solution with the Intel® FPGA PAC N3000 SmartNIC delivers a 70X performance boost over a software-only implementation, but a footnote in the video’s description states that more recent testing has yielded performance improvements as large as 300X.) Also, please see the associated Solution Brief titled “High Capacity DDoS Protection in Cloud Environments with F5 BIG-IP VE for SmartNICs and Intel FPGA PAC N3000.” For more information about the Intel FPGA PAC N3000, click here. Intel’s silicon and software portfolio empowers our customers’ intelligent services from the cloud to the edge. Notices and Disclaimers Software and workloads used in performance tests may have been optimized for performance only on Intel microprocessors. Performance tests, such as SYSmark and MobileMark, are measured using specific computer systems, components, software, operations and functions. Any change to any of those factors may cause the results to vary. You should consult other information and performance tests to assist you in fully evaluating your contemplated purchases, including the performance of that product when combined with other products. For more complete information visit www.intel.com/benchmarks. Performance results are based on testing as of dates shown in configurations and may not reflect all publicly available updates. See backup for configuration details. No product or component can be absolutely secure. Your costs and results may vary. Intel technologies may require enabled hardware, software or service activation. © Intel Corporation. Intel, the Intel logo, and other Intel marks are trademarks of Intel Corporation or its subsidiaries. Other names and brands may be claimed as the property of others. rENIAC Data Engine and Intel® Programmable Acceleration Card boost Cassandra database performance in VMware vSphere virtual environment
Apache Cassandra – the free and open-source, distributed, wide column store, NoSQL database management system (DBMS) designed to handle large amounts of data across many commodity servers – provides high availability with no single failure point. This DBMS offers robust support for clusters spanning multiple datacenters, with asynchronous master-less replication allowing low-latency operations for all clients. FPGAs, which have been around for more than twenty-five years and have long been used to accelerate I/O-centric applications such as network routers and storage controllers, can also accelerate databases like Cassandra. Mohan Potheri at VMware recently posted a blog titled “Accelerating Virtualized & Distributed Cassandra databases with FPGAs” that discusses this topic. The VMware blog describes operation of the rENIAC Data Engine (rDE) to accelerate a virtualized, distributed Cassandra database running in a VMware vSphere 7.0 environment. This system delivered significant results when tested with a Cassandra database stress-test tool: Data throughput for the accelerated Cassandra database improved by factors of 3.4X, 7.4X, and 20.2X relative to an unaccelerated system for read/write percentage ratios of 80/20, 90/10, and 100/0. Latency for the accelerated Cassandra database improved by factors of 1.4X, 8.6X, and 36X relative to an unaccelerated system for read/write percentage ratios of 80/20, 90/10, and 100/0. According to the VMware blog, the rDE was “deployed on a vSphere host with a physical Intel® Programmable Acceleration Card with Intel® Arria® 10 GX FPGA (Intel® PAC with Intel® Arria® 10 GX FPGA) plugged into each server used for these tests. The database and the client virtual machines are deployed as standard virtual machines. The rDE virtual machine is configured with direct passthrough access to the Intel PAC with Intel Arria 10 GX FPGA. For more detailed technical information, see the VMware blog using the link above. Related blogs: rENIAC’s FPGA-based Distributed Data Engine boosts Cassandra database performance as much as 10X when deployed as data proxy. VMware vSphere 6.7 now supports the Intel® Programmable Acceleration Card with Intel® Arria® 10 GX FPGA Intel’s silicon and software portfolio empowers our customers’ intelligent services from the cloud to the edge. Notices & Disclaimers Performance testing was conducted on a three node Cassandra database cluster, a three node rENIAC Data Engine (rDE) cluster, and two database clients. Three Intel PACs with Intel® Arria® 10 GX FPGA accelerated the rDE and the rDE was deployed as a proxy between the Cassandra databases and its clients. All components were virtualized and all components were connected to a 10 Gbps Ethernet network. See the VMware blog for more technical details about the test system. Intel technologies may require enabled hardware, software or service activation. No product or component can be absolutely secure. Your costs and results may vary. © Intel Corporation. Intel, the Intel logo, and other Intel marks are trademarks of Intel Corporation or its subsidiaries. Other names and brands may be claimed as the property of others.