CLOUD APP DEVELOPMENT
Cerebras Systems, G42 | November 23, 2021
Cerebras Systems, the pioneer in accelerating artificial intelligence (AI) compute, and G42, the leading UAE-based AI and cloud computing company, today announced at GMIS the signing of a memorandum of understanding (MOU) under which they will bring high performance AI capabilities to the Middle East. G42, who manages the region’s largest cloud computing infrastructure, will upgrade its technology stack with Cerebras’ industry-leading CS-2 systems to deliver unparallel AI compute capabilities to its partners and the broader ecosystem.
“Cerebras, in partnership with our extraordinary customers, has achieved incredible breakthroughs that are transforming AI. We are privileged to be working with G42, the Middle East’s leader in AI innovation. Together we will transform our industry, making the impossible commonplace.”
Andrew Feldman, CEO and co-founder of Cerebras Systems
This new high-performance AI computing infrastructure will initially be focused on addressing three challenges
Building the largest and most capable network for Arabic natural language processing (NLP) to enable the development of innovative and more accurate digital solutions that utilize Arabic.
Developing deeper and more accurate neural networks to analyze very high spatial and temporal resolution satellite images.
Leveraging the National Genome Program as a vehicle to develop novel techniques and algorithms for next-generation genomics processing with AI.
Peng Xiao, Group CEO, G42, said, “We at G42 believe in the power of partnerships and have embraced this approach to business as a core part of our corporate DNA. We are very pleased to be partnering with a global best in the computing field, Cerebras Systems, to accelerate our research into new AI applications across industries, here in the UAE and beyond.”
Cerebras’ technology accelerates the time to answer for today’s AI work from months to minutes – all at a fraction of the power and space per unit compute. It will also support the multi-trillion parameter models of the future with its brain-scale AI innovations. The company’s CS-2 system, powered by the industry-leading Wafer Scale Engine (WSE-2), is purpose-built for AI, delivering a massive leap forward for customers across pharma & life sciences, supercomputing centers, national labs, and more.
Under the new agreement, G42 will equip its cloud computing business, as well as its research institute, the Inception Institute of Artificial Intelligence, with the new systems to accelerate AI research and the deployment of commercial solutions that will address some of the most pressing challenges faced by local, regional and global organizations across industries.
About Cerebras Systems
Cerebras Systems is a team of pioneering computer architects, computer scientists, deep learning researchers, and subject matter experts of all types. We have come together to build a new class of computer system, designed for the singular purpose of accelerating AI and changing the future of AI work forever. Our Cerebras CS-2 system, powered by the world’s largest processor – the WSE-2, enables customers to accelerate their deep learning by orders of magnitude over general purpose compute.
G42 is an Abu Dhabi-based global leader in artificial intelligence and cloud computing obsessed about exploring the full potential of AI as a tool that powers progress. Born out of its world-class AI research capabilities, today G42 is building the largest cloud computing infrastructure in the MENA region and manages a diversified portfolio of companies that develop and deploy high-impact, holistic AI solutions across a wide range of industries, including smart city, healthcare, financial services, geospatial, aviation, oil & gas, sports and more. As it pursues its mission, G42 partners with the best of the best, including nations, corporations and individuals, to move the world forward.
Google Cloud | May 19, 2021
Vertex AI, a managed machine learning (ML) platform that helps businesses to accelerate the deployment and maintenance of artificial intelligence (AI) models, becoming generally available today at Google I/O. In comparison to competitive platforms1, Vertex AI takes approximately 80% fewer lines of code to train a model, allowing data scientists and ML engineers of all levels of experience to apply Machine Learning Operations (MLOps) to effectively design and operate ML projects during the development lifecycle.
Data scientists are currently faced with the task of manually piecing together ML point solutions, resulting in a gap in model development and experimentation, with just a few models making it into production. To address these issues, Vertex AI unifies the Google Cloud resources for developing machine learning models into a single UI and API, making the task of building, training, and deploying machine learning models at a scale far easier. Customers can switch models from experimentation to production faster, find trends and anomalies more quickly, make better predictions and decisions, and be more resilient in the face of changing market dynamics in this single environment.
Google has learned valuable lessons about how to create, deliver, and manage machine learning models in production over decades of innovation and strategic investment in AI. These ideas and engineering have been baked into the foundation and nature of Vertex AI, and new Google Research innovation will continue to enrich it. For the first time, data science and machine learning engineering teams can:
Access Google's AI toolkit, which contains computer vision, language, conversation, and structured data, and is constantly improved by Google Research.
With new MLOps features like Vertex Vizier, which improves the pace of experimentation, the full run Vertex Feature Store, which helps practitioners serve, share, and reuse ML features, and Vertex Experiments, which accelerates the deployment of models into production with quicker model selection, you can deploy more useful AI applications faster.
Streamline the end-to-end ML workflow with MLOps tools including Vertex Continuous Monitoring and Vertex Pipelines, which eliminate the complexity of self-service model maintenance and repeatability.
About Google Cloud
With the best infrastructure, platform, industry solutions, and expertise, Google Cloud accelerate companies' ability to digitally transform their businesses. It provides enterprise-grade cloud solutions that take advantage of Google's cutting-edge technologies to help businesses run more efficiently and adapt to evolving needs, laying the foundation for the future. Customers in over 200 countries and territories rely on Google Cloud to help them overcome their most critical business challenges.
CLOUD APP DEVELOPMENT
Tetrate | November 11, 2021
Tetrate, the company founded by creators and maintainers of Istio and Envoy, announced it has been recognized as one of the 2021 Cool Vendors in Cloud Computing by Gartner. The Gartner report highlights innovative multicloud products and vendors that CIOs should assess in formulating their multicloud strategy.
“We are honored to have received the Cool Vendor recognition from Gartner. It’s a milestone in our journey and a validation of the directional correctness of Tetrate Service Bridge TSB enables and accelerates cloud adoption and modernization for enterprises. It’s a humbling experience to build a product that strives to meet the needs of enterprise customers.”
Varun Talwar, co-founder of Tetrate and co-creator of Istio and gRPC
Key findings stated in the report include:
Seventy-six percent of respondents to Gartner’s 2020 Cloud End-User Buying Behavior Survey that have adopted cloud infrastructure intend to operate in a multicloud environment. The primary reasons are to increase service availability, to leverage best-of-breed services across providers and to comply with compliance requirements across the globe.
Real-world multicloud implementations are mired with architectural complexity, unclear total cost of ownership (TCO) and uneven governance due to inadequate planning and lack of a deliberate strategy.
There is a new, emerging breed of startups with a cloud-first product mindset and multicloud product capabilities that are focused on easing multicloud adoption challenges.
Tetrate was selected as a Cool Vendor because it provides a service mesh solution across multicloud environments to deliver comprehensive application connectivity, security, observability, and reliability—all from one platform layer. Its market differentiation, the report finds, stems from its unified mesh capabilities, multicloud support, flexible operational model, and commitment to open source.
Gartner does not endorse any vendor, product or service depicted in our research publications, and does not advise technology users to select only those vendors with the highest ratings. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.
Started by Istio founders to reimagine application networking, Tetrate is an enterprise service mesh company managing the complexity of modern, hybrid cloud application infrastructure. Its flagship product, Tetrate Service Bridge, provides an edge-to-workload application connectivity platform to deliver business continuity, agility, and security for enterprises on the journey from traditional monoliths to the cloud. Customers get consistent, baked-in observability, runtime security and traffic management in any environment. Tetrate remains a top contributor to the open-source projects Istio and Envoy Proxy.