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OpTeamizer joins NVIDIA Metropolis to develop and optimize vision AI applications for customers worldwide

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OpTeamizer, a service provider of AI development and GPU optimizations, announced that it has joined NVIDIA Metropolis, a partner program focused on bringing to market a new generation of vision AI applications. The program nurtures a rich ecosystem and offers powerful developer tools to supercharge vision AI applications that are designed to make the world’s most important spaces and operations safer and more efficient.

OpTeamizer provides end-to-end software development services for AI and HPC applications. With over 100 customers, ranging from large enterprises to start-ups, OpTeamizer services include R&D of AI using neural networks, CUDA GPU development, NVIDIA Jetson edge AI platform development, and software optimizations. The company leverages the power of NVIDIA hardware to provide its customers with innovative and advanced solutions. The services utilize cutting-edge NVIDIA technologies and frameworks such as CUDA, TensorRT, DeepStream, Triton, TAO, and more.

NVIDIA Metropolis makes it easier and more cost effective for enterprises, governments, and integration partners to use world-class AI-enabled solutions to improve critical operational efficiency and safety problems. The NVIDIA Metropolis ecosystem contains a large and growing breadth of members who are investing in the most advanced AI techniques and most efficient deployment platforms and using an enterprise-class approach to their solutions. Members can gain early access to NVIDIA platform updates to further enhance and accelerate their AI application development efforts. Further, the program offers the opportunity for members to collaborate with industry-leading experts and other AI-driven organizations.

Tomer Gal, CTO and Founder of OpTeamizer, said: “Joining NVIDIA Metropolis is a significant milestone for OpTeamizer that aligns with our vision of developing cutting-edge technologies which help organizations meet the ever-growing demand for efficient and safe operations. By leveraging the powerful tools and resources provided by NVIDIA Metropolis, we can accelerate the development of next-generation vision AI applications and provide our worldwide customers with the best possible solutions.”

OpTeamizer provides software development services for artificial intelligence and high-performance computing applications. Its services cover the entire software development life cycle, from research and design to deployment. The company has a diverse customer base that includes both large enterprises and start-ups, and it offers a range of services, such as artificial intelligence, edge AI platform development, GPU development, and software optimization. By leveraging NVIDIA hardware, OpTeamizer aims to deliver cutting-edge solutions to meet the specific needs of its customers. With over 100 customers, OpTeamizer has established a strong track record of success, making it a trusted partner for businesses looking to leverage AI and HPC technologies.

OpTeamizer assists developers to create embedded edge applications using NVIDIA Jetson Platform

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OpTeamizer, an Israel-based company that builds solutions and offers AI consulting to Israeli R&D centers, has been appointed an Embedded Edge Partner by multinational NVIDIA. With its appointment, OpTeamizer will provide consulting, development, and training services to NVIDIA customers worldwide, developing edge devices using the NVIDIA Jetson Platform.

The Jetson Orin family was introduced by NVIDIA and includes a powerful System on Module (SOM): Ampere architecture GPU, ARM Cortex CPU, LPDDR5 memory, highly efficient power management, high-speed interfaces, and more. It offers distinct performance levels, energy efficiency, and form factor to suit each market and industry.

Tomer Gal, Founder and CEO of OpTeamizer: “The world of artificial intelligence is rapidly shifting towards edge devices, which are becoming smarter and more efficient, while bringing innovation to a variety of industries. Our expertise in NVIDIA GPUs will assist R&D centers in bringing a new generation of edge devices based on the Jetson Orin platform to the market quickly. The platform will serve sectors such as smart cities, autonomous vehicles, drones, AI powered carts, medical devices, and other industries. The possibilities are endless, and we will work with any R&D center interested in pursuing them.”

In 2018, NVIDIA appointed OpTeamizer as its first education service delivery partner in the Middle East and Israel. The new appointment expands OpTeamizer’s activities within the embedded systems market. The company has been authorized to train, conduct research and development of AI systems, and accelerate performance using NVIDIA GPUs and its software libraries (SDKs). OpTeamizer also provides turnkey development services to businesses that adopt GPU solutions when entering the world of AI.

Tomer Gal and his team assist businesses in migrating from the CPU to the GPU world, accelerating the performance of new GPU systems, developing AI and neural network models, optimizing neural networks, and selecting the relevant hardware for deployment. Since 2018, OpTeamizer has provided a range of professional services and turnkey projects to more than 100 R&D centers. OpTeamizer cooperates with industry leaders in homeland security, healthcare, industrial inspection, and many other sectors.

OpTeamizer was founded in 2015 by Tomer Gal, one of Israel’s leading AI experts, who participated in strategic developments of Intel Israel and General Electric Israel. Tomer has an MSc in computer science and is a member of the Israel Innovation Authority, which evaluates AI startups’ grant applications. He is also a lecturer in artificial intelligence at the Software Engineering Department of ORT Braude College of Engineering.

OpTeamizer offers professional training for developers at R&D centers on NVIDIA’s development tools for the GPU environment, including courses such as CUDA C++, CUDA Python, CUDA for multiple GPUs, Deep Learning for computer vision, and Deep Learning for multiple data types.

Road2 Innovation Center Selects OpTeamizer to Support Startups in Developing AI models

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Road2 Innovation Center has selected OpTeamizer to assist startups working from its NVIDIA-supported Innovation Center with developing artificial intelligence (AI) applications. As part of the collaboration, OpTeamizer will support and work with these startups providing them with application development support and providing guidance on leveraging the center’s NVIDIA DGX system.

Shortly after its appointment, OpTeamizer already had a positive impact, supporting several companies with the effective use of AI in their products and solutions. These include:

  • Mirrori – offers a disruptive technology, harmonizing human wisdom with AI for personalized skincare planning and advisory, beauty advisory, and training.
  • LiteBC – develops non-invasive, repeatable, and safe blood analysis in traditional and non-traditional clinical settings (point-of-care).
  • Rapida – reshapes how the traditional infrastructure industry operates with the automation of inspection and monitoring processes, creating structures and 3D digital twins through real-time data processing by integrating sensor fusion, AI, and big data.
  • Pickey – a breakthrough AI smart wristband “hand vision” technology that revolutionizes manual picking of goods in logistic centers and groceries.

Eitan Kyiet, CEO of Road2 says: “We at Road2 promote the entrepreneurial ecosystem in a variety of verticals, and in various areas of artificial intelligence. We are very pleased with the cooperation with OpTeamizer which was selected as the winner from various companies in the tender process and see that our startup companies enjoy quality and professional services, which helps them to succeed and develop quickly.”

Tomer Gal, founder and CEO of OpTeamizer adds: “Developing AI-led solutions requires a unique set of expertise that a startup often doesn’t have access to and can’t afford at the early stages of product development. This is where our team fits in, advising and guiding startups on how to incorporate AI into their applications and ensure they focus on developing industry-relevant apps, interfaces, and business models. The companies we assist benefit from a greatly accelerated time to market, spending more time focusing on innovation and improving their chances of success in the critical early stages of business development.”

OpTeamizer was founded in 2015 by Tomer Gal, one of Israel’s leading AI experts, who participated in strategic developments at Intel Israel and General Electric Israel. Tomer, an M.Sc. in Computer Science in software optimization, is also a member of the Israel Innovation Authority, which evaluates grant applications by AI startups. He is also a lecturer in AI at the software engineering department of ORT Braude College of Engineering and NVIDIA certified lecturer for CUDA and Deep Learning.

In 2018, NVIDIA appointed OpTeamizer as its first service delivery partner in Israel and the Middle East. Following a successful and fruitful partnership, OpTeamizer is today accredited to train the industry on using NVIDIA’s GPU processors to accelerate system performance and perform AI development. The company is also a consulting services provider for companies that adopt GPU solutions when entering the world of AI.

Prior to its appointment at Road2, OpTeamizer has enjoyed significant success, providing a range of training and consultation services to the R&D centers of over 90 Israeli companies and multinationals operating in the country. Its customers include defense systems, healthcare, inspection systems, and other hi-tech companies. Tomer and his team help companies migrate from legacy CPU to the massively powerful GPU technology, accelerate the performance of new GPU systems, develop AI and neural network models, optimize neural networks, and select the relevant hardware for deployment.

OpTeamizer currently employs 20 developers who focus on training developers at the R&D centers of organizations on NVIDIA’s development tools for the GPU environment. It also offers courses on CUDA C++, CUDA Python, CUDA for multiple GPUs, deep learning for computer vision, and deep learning for numerous data types.

Quantum computing collaboration between Nvidia and the Israeli Classiq

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Nvidia Company revealed last week in its annual developer conference (GTC) a new collaboration with another Israeli Company, Classiq from Tel-Aviv, who provides a platform for creating quantum software algorithms. Within this cooperation, Classiq’s platform integrates with Nvidia’s quantum simulator. This integration will allow Classiq’s customers to run their quantum application on the simulator, perform stress-tests, debugging and optimization – without the need to use real quantum machine.

At this time Nvidia doesn’t develop quantum hardware, but it developed the cuQuantum simulator, which simulate quantum computer processing capabilities of dozens of qubits. This simulator is based in its operations on a supercomputer composed of hundreds of GTX A100 processors and Tensor Core GPUs. This simulator is capable of performing billions of parallel computations and simulates quantum computing processes such as superposition and entanglement. It provides the capability of running, on a classic machine, quantum algorithms and is used by researchers and developers in developing and verifying quantum applications.

In last December, Nvidia launched its Software Development Kit (SDK), based on the company’s Selene supercomputer which is capable of running (for particular type algorithms) simulations with a scale of thousands of qubits. Nvidia reported lately that it successfully ran the optimization problem MaxCut, which is considered impossible to solve using a classical computer, but only using a quantum computer. In order to solve the problem, Nvidia used 896 GPUs that simulated 1,688 qubits. 

Verify algorithms without any noise

In a conversation with Techtime says Amir Naveh, Classiq’s co-founder and Head of Algorithms that “this collaboration was born earlier in the simulator development phase. Our platform allows for the creation large-scale quantum circuits, which the customers may test directly through the simulator. The existing intermediate-scale quantum computers are still noisy, and this simulator is currently the only way a developer can test its algorithms in a cost effective, clean method”.

Classiq developing CAD solutions that will make it possible to write applications for quantum computers. Nir Minerbi, Classiq co-founder and CEO, told Techtime in an earlier interview: “The quantum revolution consists of two things: hardware and software. Nowadays it is almost impossible to develop applications for a quantum computer, since you have to program at the logic gate level. It’s like designing a chip at the transistor level. We build the tools that allow developing applications at a higher level of abstraction. The next layer in the quantum stack.”

Recently, Classiq launched its proprietary platform’s Beta version which allows, for the first time in the industry, to compose functional algorithms for Quantum computers. The company made the new platform available to several customers, and intends to expand the beta version access to several dozen customers in the next few months.

OpTeamizer will train European customers of NVIDIA

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Yokneam based OpTeamizer, which provides solutions and consultation to AI R&D centers in Israel, has been selected by NVIDIA to provide consulting services to its customers in Europe, assist the company’s technology management, and consult companies on projects based on NVIDIA processors.

OpTeamizer was founded in 2015 by Tomer Gal, one of Israel’s leading AI experts, who participated in strategic developments of Intel Israel and General Electric Israel. Tomer, who has an M.Sc. in Computer Science in software optimization, is a member of the Israel Innovation Authority that evaluates grant applications by AI startups and a lecturer in artificial intelligence at the Software Engineering Department of ORT Braude College of Engineering.

In 2018, NVIDIA appointed OpTeamizer as its first Service Delivery Partner in Israel and the Middle East. OpTeamizer is accredited to train the industry in using NVIDIA’s GPU processors, to accelerate system performance and perform artificial intelligence development. The company is also a consulting services provider for companies that adopt GPU solutions when entering the world of AI.

Following the appointment, OpTeamizer provided a range of trainings and consultation services to more than 80 R&D centers of Israeli companies and multinationals operating in the country. Its customers include defense systems, healthcare, inspection systems, and other hi-tech companies. Tomer Gal and his team help companies migrate from CPU to the massively parallel GPU, accelerate the performance of new GPU systems, develop AI and neural network models, optimize neural networks, and select the relevant hardware for deployment.

OpTeamizer, which currently has 20 employees, trains developers at the R&D centers on NVIDIA’s development tools for the GPU environment and offers courses on CUDA C++, CUDA Python, CUDA for multiple GPUs, Deep learning for computer vision, and Deep learning for multiple data types.

The pending launch of the Jetson Orin AI Computer in 2022 signals a further upgrade in OpTeamizer’s unique status in NVIDIA technologies. Recently, the company has been appointed partner with the status of NVIDIA Jetson Partner for the European market, in addition to the Israeli market. It will provide development, consulting, and training services for European customers of NVIDIA, targeting the Jetson Orin platform.

OpTeamizer founder and CEO Tomer Gal says: “NVIDIA’s new Jetson Orin AI Computer will offer edge devices 6x times the performance improvement over the current generation. We will help top Israeli and European companies obtain optimal performance across a wide range of markets that have immense potentials, such as smart cities, autonomous vehicles, healthcare, drones, robotics, smart carts, and more.”

Tomer adds: “The strategy NVIDIA applies via a partner who specializes in its technologies helps companies enter the fast lane to the world of AI. These developments disrupt numerous markets and make such companies global pioneers. OpTeamizer skills and services will assist in implementing the latest NVIDIA technologies in the European market, setting the path for the creation of disruptive AI applications.”

NVIDIA to Acquire Arm for $40 Billion

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Above: Jensen Huang, founder and CEO of NVIDIA

A major development in the semiconductor’s industry: NVIDIA announced a definitive agreement with SoftBank under which NVIDIA will acquire Arm Limited from SBG fo a total amount of approximately $40 billion. NVIDIA will pay $21.5 billion in common stock and $12 billion in cash. Additionally, SoftBank may receive up to $5 billion in cash or common stock, subject to satisfaction of specific financial performance targets by Arm.

NVIDIA will also issue $1.5 billion in equity to Arm employees. The transaction is subject to regulatory approvals, including in U.K., China, the European Union and the United States. Completion of the transaction is expected to take place in approximately 18 months. NVIDIA said it is committed to the UK: Today 3,000 employees out of ARM’s global 6,500 strong workforce are located in the UK.

Jensen Huang, founder and CEO of NVIDIA expressed a commitment to Britain: “Arm will remain headquartered in Cambridge. We will build a world-class AI research facility and a state-of-the-art AI supercomputer, powered by Arm CPUs. Arm Cambridge will be a world-class technology center. AI is the most powerful technology force of our time and has launched a new wave of computing. Our combination will create a company fabulously positioned for the age of AI.”

NVIDIA plans to bring its intellectual property to Arm’s ecosystem, to offer data center customers an alternative to legacy CPU. As part of NVIDIA, Arm will continue to operate its open-licensing model while maintaining the global customer neutrality that has been foundational to its success.

Mellanox drives NVIDIA into the Data Center

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Above: Eyal Waldman, CEO and President of Mellanox (left) and Jensen Huang, founder and CEO of NVIDIA

The $6.9 billion merger between Mellanox and NVIDIA which was completed in April 2020, proved to be a successful move: Mellanox is an expert in high-speed Ethernet and InfiniBand networking solutions for Data Centers and High Performance Computers. NVIDIA invented the GPU back in 1999, and transformed itself from a provider of graphical boards into a powerhouse in High Performance computing and Artificial Intelligence, based on its expertise in GPUs.

This newly wedded couple produced an excellent financial quarter in Q2 2020: Record revenue of $3.87 billion, up 50% from a year earlier, and record Data Center revenue of $1.75 billion, up 167% compared to Q2 2019. Mellanox contributed approximately 14% of company revenue and just over 30% of data center revenue. In fact, Mellanox’ own sales grew 26% under the umbrella of NVIDIA to a record of $541 million.

“That’s why we bought Mellanox”

Mellanox also played an important role in NVIDIA’s strategy to break into the data centers market. “Mellanox grew sharply, driven by the need for high-speed networking in cloud data centers to scale-out AI services,” said Jensen Huang, President and Chief Executive Officer of NVIDIA. “We recognize the importance of high-speed networking and low-latency networking, and that’s why we bought Mellanox.”

Colette Kress, Chief Financial Officer of NVIDIA said during a conference call earlier this week, that NVIDIA and Mellanox powers two-thirds of the top 500 Super Computer systems in the world,  compared with just less than a half in total two years ago. “And just this morning, Microsoft Azure announced the availability of massively scalable AI clusters, which are based on the A100 and interconnected with 200-gigabyte-per-second Mellanox InfiniBand networking.”

Mellanox' ConnectX-6 Dx Dual 100GbE / Single 200GbE SmartNIC for Advanced Cloud
Mellanox’ ConnectX-6 Dx Dual 100GbE / Single 200GbE SmartNIC for Advanced Cloud

The overall strategy is well defined: “The combination of NVIDIA accelerated computing, Mellanox networking, and Cumulus software (Acquired in May 2020) – enables data centers that are accelerated, disaggregated, and software-defined – to meet the exponential growth in AI, cloud, and high-performance computing.”

Growth to continue in Q3 2020

Jensen sees more sales in the near future. “Despite the pandemic’s impact on our professional visualization and automotive platforms, we are well positioned to grow, as gaming, AI, cloud computing and autonomous machines drive the next industrial revolution,” he said, and expects Q3 2020 revenue to be $4.40 billion, plus or minus 2%.

Why? Because “Two components, two types of technologies are really important to the future of cloud. One of them is acceleration, and our GPU is ideal for it. And then the other one is high-speed networking. That transition is called east-west traffic. And the most important thing you could possibly do for yourself is to buy really high-speed, low-latency networking. And that’s what Mellanox is fantastic at.”