pVerify launches Highly scalable, Disaster-resistant Patient Eligibility Healthcare Infrastructure with Human-enabled AI

pVerify, Inc | June 23, 2020

pVerify launches highly scalable, disaster-resistant IT infrastructure for eligibility in collaboration with Onix.  "With this enhancement, pVerify joins the ranks of the most robust clearinghouses out there, providing fault tolerance, ability to handle over 100 million transactions a month, and smooth recovery in case of data center outage," said Robert Dejournett, PhD, Chief Technology Officer, pVerify. "Customers are used to pVerify's excellent robustness, and this enhancement puts us at 'five 9s' in terms of uptime (99.999%)."

Spotlight

New age IT infrastructure unlockingthe compititive edge for GAFTA. Changes and challenges are shaping the Business Landscape.

Spotlight

New age IT infrastructure unlockingthe compititive edge for GAFTA. Changes and challenges are shaping the Business Landscape.

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HYPER-CONVERGED INFRASTRUCTURE

Scale Computing Named Gartner Peer Insights Customers' Choice for Hyperconverged Infrastructure Software for Second Year

Scale Computing | June 08, 2022

Scale Computing, an industry leader in edge computing, virtualization, and hyper-converged technologies, has been selected as a Gartner Peer Insights Customer's Choice for Hyperconverged Infrastructure Software for 2022. Customers' Choice is a Gartner Peer Insights distinction based on feedback and ratings from end-users who have purchased, implemented, and/or used Scale Computing technologies. "Being recognized as a Gartner Peer Insights Customers' Choice for Hyperconverged Infrastructure Software for the second consecutive year is highly gratifying because customer success continues to be Scale Computing's top priority. We engineer our IT infrastructure platform to be simple to manage while leveraging our patented self-healing technology to maintain maximum uptime for all applications. The award-winning Scale Computing IT infrastructure platform eliminates complexity, lowers costs, and frees up management time. Customers at organizations of all sizes, across every vertical, appreciate this innovation, and we're very proud of this recognition from our customers on Gartner Peer Insights." Jeff Ready, CEO and co-founder of Scale Computing The IT infrastructure platform from Scale Computing is easy to implement and administer, and it allows customers to scale up and down effortlessly as their business grows. Scale Computing HyperCore software keeps vital applications operating even when hardware components or entire appliances fail. "We've now had Scale Computing implemented with our SCADA environment, and couldn't be happier. It is working wonderfully, and the ease of administration is a blessing. Our live environment has been working for almost 2 years now and we've had no issues. Support has been great for answering questions regarding security and network segmentation. Scale Computing makes things so much easier than the old VM solutions. Thanks again!" -Infrastructure and Operations Administrator in the government sector "We have had a very positive experience with Scale Computing. We migrated from Hyper-V and didn't experience any real issues in the transition. We used their recommended method of migrating the VMs, Scale Computing Move, which uses Carbonite Migrate. This worked well on all our Windows-based VMs.… Our goal in switching to Scale Computing was to reduce management time and have excellent customer service if ever needed. Scale Computing has fulfilled both these goals." -IT Director, consumer goods industry. This Customers' Choice award is based on thorough input from 198 customer ratings across several hyper-converged infrastructure software vendors over the last 18 months. The average score for Scale Computing is 4.7 out of 5.

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APPLICATION INFRASTRUCTURE

CEVA Redefines High Performance AI/ML Processing for Edge AI and Edge Compute Devices

CEVA | January 06, 2022

Consumer Electronics Show – CEVA, Inc.the leading licensor of wireless connectivity and smart sensing technologies and integrated IP solutions, today announced NeuPro-M, its latest generation processor architecture for artificial intelligence and machine learning (AI/ML) inference workloads. Targeting the broad markets of Edge AI and Edge Compute, NeuPro-M is a self-contained heterogeneous architecture that is composed of multiple specialized co-processors and configurable hardware accelerators that seamlessly and simultaneously process diverse workloads of Deep Neural Networks, boosting performance by 5-15X compared to its predecessor. An industry first, NeuPro-M supports both system-on-chip (SoC) as well as Heterogeneous SoC (HSoC) scalability to achieve up to 1,200 TOPS and offers optional robust secure boot and end-to-end data privacy. NeuPro-M is the latest generation processor architecture from CEVA for artificial intelligence and machine learning (AI/ML) inference workloads. Targeting the broad markets of Edge AI and Edge Compute, NeuPro-M is a self-contained heterogeneous architecture that is composed of multiple specialized co-processors and configurable hardware accelerators that seamlessly and simultaneously process diverse workloads of Deep Neural Networks, boosting performance by 5-15X compared to its predecessor. NeuPro-M is the latest generation processor architecture from CEVA for artificial intelligence and machine learning (AI/ML) inference workloads. Targeting the broad markets of Edge AI and Edge Compute, NeuPro-M is a self-contained heterogeneous architecture that is composed of multiple specialized co-processors and configurable hardware accelerators that seamlessly and simultaneously process diverse workloads of Deep Neural Networks, boosting performance by 5-15X compared to its predecessor. NeuPro–M compliant processors initially include the following pre-configured cores: NPM11 – single NeuPro-M engine, up to 20 TOPS at 1.25GHz NPM18 – eight NeuPro-M engines, up to 160 TOPS at 1.25GHz Illustrating its leading-edge performance, a single NPM11 core, when processing a ResNet50 convolutional neural network, achieves a 5X performance increase and 6X memory bandwidth reduction versus its predecessor, which results in exceptional power efficiency of up to 24 TOPS per watt. Built on the success of its' predecessors, NeuPro-M is capable of processing all known neural network architectures, as well as integrated native support for next-generation networks like transformers, 3D convolution, self-attention and all types of recurrent neural networks. NeuPro-M has been optimized to process more than 250 neural networks, more than 450 AI kernels and more than 50 algorithms. The embedded vector processing unit (VPU) ensures future proof software-based support of new neural network topologies and new advances in AI workloads. Furthermore, the CDNN offline compression tool can increase the FPS/Watt of the NeuPro-M by a factor of 5-10X for common benchmarks, with very minimal impact on accuracy. "The artificial intelligence and machine learning processing requirements of edge AI and edge compute are growing at an incredible rate, as more and more data is generated and sensor-related software workloads continue to migrate to neural networks for better performance and efficiencies. With the power budget remaining the same for these devices, we need to find new and innovative methods of utilizing AI at the edge in these increasingly sophisticated systems. NeuPro-M is designed on the back of our extensive experience deploying AI processors and accelerators in millions of devices, from drones to security cameras, smartphones and automotive systems. Its innovative, distributed architecture and shared memory system controllers reduces bandwidth and latency to an absolute minimum and provides superb overall utilization and power efficiency. With the ability to connect multiple NeuPro-M compliant cores in a SoC or Chiplet to address the most demanding AI workloads, our customers can take their smart edge processor designs to the next level." Ran Snir, Vice President and General Manager of the Vision Business Unit at CEVA The NeuPro-M heterogenic architecture is composed of function-specific co-processors and load balancing mechanisms that are the main contributors to the huge leap in performance and efficiency compared to its predecessor. By distributing control functions to local controllers and implementing local memory resources in a hierarchical manner, the NeuPro-M achieves data flow flexibility that result in more than 90% utilization and protects against data starvation of the different co-processors and accelerators at any given time. The optimal load balancing is obtained by practicing various data flow schemes that are adopted to the specific network, the desired bandwidth, the available memory and the target performance, by the CDNN framework. NeuPro-M architecture highlights include: Main grid array consisting of 4K MACs (Multiply And Accumulates), with mixed precision of 2-16 bits Winograd transform engine for weights and activations, reducing convolution time by 2X and allowing 8-bit convolution processing with <0.5% precision degradation Sparsity engine to avoid operations with zero-value weights or activations per layer, for up to 4X performance gain, while reducing memory bandwidth and power consumption Fully programmable Vector Processing Unit, for handling new unsupported neural network architectures with all data types, from 32-bit Floating Point down to 2-bit Binary Neural Networks (BNN) Configurable Weight and Data compression down to 2-bits while storing to memory, and real-time decompression upon reading, for reduced memory bandwidth Dynamically configured two level memory architecture to minimize power consumption attributed to data transfers to and from an external SDRAM To illustrate the benefit of these innovative features in the NeuPro-M architecture, concurrent use of the orthogonal mechanisms of Winograd transform, Sparsity engine, and low-resolution 4x4-bit activations, delivers more than a 3X reduction in cycle count of networks such as Resnet50 and Yolo V3. As neural network Weights and Biases and the data set and network topology become key Intellectual Property of the owner, there is a strong need to protect these from unauthorized use. The NeuPro-M architecture supports secure access in the form of optional root of trust, authentication, and cryptographic accelerators. For the automotive market, NeuPro-M cores and its CEVA Deep Neural Network (CDNN) deep learning compiler and software toolkit comply with Automotive ISO26262 ASIL-B functional safety standard and meets the stringent quality assurance standards IATF16949 and A-Spice. Together with CEVA's multi award-winning neural network compiler – CDNN – and its robust software development environment, NeuPro-M provides a fully programmable hardware/software AI development environment for customers to maximize their AI performance. CDNN includes innovative software that can fully utilize the customers' NeuPro-M customized hardware to optimize power, performance & bandwidth. The CDNN software also includes a memory manager for memory reduction and optimal load balancing algorithms, and wide support of various network formats including ONNX, Caffe, TensorFlow, TensorFlow Lite, Pytorch and more. CDNN is compatible with common open-source frameworks, including Glow, tvm, Halide and TensorFlow and includes model optimization features like 'layer fusion' and 'post training quantization' all while using precision conservation methods. NeuPro-M is available for licensing to lead customers today and for general licensing in Q2 this year. NeuPro-M customers can also benefit from Heterogenous SoC design services from CEVA to help integrate and support system design and chiplet development. About CEVA, Inc. CEVA is the leading licensor of wireless connectivity and smart sensing technologies and integrated IP solutions for a smarter, safer, connected world. We provide Digital Signal Processors, AI engines, wireless platforms, cryptography cores and complementary software for sensor fusion, image enhancement, computer vision, voice input and artificial intelligence. These technologies are offered in combination with our Intrinsix IP integration services, helping our customers address their most complex and time-critical integrated circuit design projects. Leveraging our technologies and chip design skills, many of the world's leading semiconductors, system companies and OEMs create power-efficient, intelligent, secure and connected devices for a range of end markets, including mobile, consumer, automotive, robotics, industrial, aerospace & defense and IoT. Our DSP-based solutions include platforms for 5G baseband processing in mobile, IoT and infrastructure, advanced imaging and computer vision for any camera-enabled device, audio/voice/speech and ultra-low-power always-on/sensing applications for multiple IoT markets. For sensor fusion, our Hillcrest Labs sensor processing technologies provide a broad range of sensor fusion software and inertial measurement unit ("IMU") solutions for markets including hearables, wearables, AR/VR, PC, robotics, remote controls and IoT. For wireless IoT, our platforms for Bluetooth (low energy and dual mode), Wi-Fi 4/5/6/6e (802.11n/ac/ax), Ultra-wideband (UWB), NB-IoT and GNSS are the most broadly licensed connectivity platforms in the industry.

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IT SYSTEMS MANAGEMENT

VMware wins 2021 Google Cloud Technology Partner of the Year - Infrastructure Modernization

VMware | June 17, 2022

VMware, Inc. has won the Google Cloud Technology Partner of the Year Award for Infrastructure Modernization for 2021. VMware was honored for its contributions to the Google Cloud ecosystem, including assisting mutual clients with their enterprise cloud transformations. With Google Cloud VMware Engine, VMware and Google Cloud are enabling customers in industries like retail, telco, and manufacturing to speed cloud modernization strategies for enterprise applications. “Organizations globally are benefitting from the close collaboration of VMware and Google Cloud as we help customers accelerate their cloud-first business strategies. This recognition from Google Cloud is a testament to our shared focus on delivering the best business outcomes for our customers by helping them modernize applications, workloads, infrastructure, and consumption models with Google Cloud VMware Engine,” said Gregory Lehrer, vice president, hyperscaler partnerships, VMware. “This award recognizes VMware’s commitment to customer success, and its delivery of innovative and impactful solutions on Google Cloud in Infrastructure Modernization. “We’re proud to recognize VMware as our Technology Partner of the Year for Infrastructure Modernization, and we look forward to continuing our work together building and creating business value for customers with cloud technologies.” Bronwyn Hastings, VP of Global ISV Partnerships and Channels, Google Cloud Customers may use Google Cloud VMware Engine to update their infrastructure, operations, and applications at a cheaper cost and with fewer risks. Customers can use the power of Google Cloud with this jointly created Google Cloud-delivered solution, which provides flexible on-demand capacity and full operational consistency with current on-premises VMware systems. With the addition of Google Cloud VMware Engine to the VMware Cloud Universal program, VMware and VMware partners can now offer Google Cloud VMware Engine, as well as other VMware Cross-Cloud services, to help customers complete their digital transformation initiatives on time and with lower overall costs and risk.

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