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

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.

According to Road2, the NVIDIA DGX system hosted in its innovation center is one of the world’s most powerful AI servers, boasting eight graphic processors, five petaflops of processing power, and Mellanox GPU interconnect. The technology infrastructure provides the perfect backbone for advanced AI and development. As specialists in NVIDIA technology, OpTeamizer was identified as the ideal partner to support the disruptive companies in the Road2 entrepreneur-led program.

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

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

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

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

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.”

Nvidia and Mellanox built a Supercomputer in just a Month

Photo above: Mellanox’ AI platform protects supercomputers from from hacking and inappropriate use

In a first joint announcement by Nvidia and Mellanox, the two companies announced a reference design for the rapid building of supercomputers, and a new cyber protection platform for supercomputers. Mellanox has expanded its offering of Unified Fabric Manager (UFM) products, adding to it a new appliance called UFM Cyber-AI Platform.

It provides cyber protection to supercomputers and big data centers, using an artificial intelligence software that studies the behavior characteristics of the computing systems, to identify malfunctions and detects abnormal activity that implies on hacking and unauthorized activity.

Originally, UFM technology was developed a decade ago by Mellanox in order to manage InfiniBand-based communications systems by providing network telemetry data, monitoring the activity of all the related devices, and managing the software updates across the network’s components.

The new solution comes both as a software package or as a complete appliance based on Nvidia’s dedicated server. It is focused on characterizing computer operation and identifying unusual activity. According to Nvidia and Mellanox, the system significantly reduces the data center’s downtime, whose damages are estimated to reach $300,000 per hour.

Supercomputers are open and unprotected platforms

According to Mellanox’s VP of Marketing, Gil Shainer, the integration of Mellanox’s InfiniBand with Nvidia’s GPU changes the rules of the game in the supercomputer market, bringing to it unprecedented cyber security and preventative maintenance capabilities. Shainer: “Supercomputers are managed differently from organizational computer centers. Usually it is an open platform that need to provide easy access to many researchers around the world.”

To illustrate the dilemma he recalled an event that took place several years ago at an American university. “The administrator of the computers center told me how they caught a student using a computer for crypto mining. The suspicion emerged when they found out that the computer’s power consumption was not declining during the annual vacation, a period of time in which the computer usually is not active. Our solution allows you to detect such a situation right away – and not have to wait for your computer’s power bill.”

Reference Design for the Rapid Construction of Supercomputer

Alongside the joint announcement, Nvidia unveiled a new supercomputer called Selene (photo above), which is considered the strongest industrial supercomputer in the United States, with peak performance of 27.5 petaflops. The computer is based on the new A100-model GPU processors announced this week, and was built for internal research conducted in Nvidia. During a press briefing last week, Shainer revealed that the new computer was built in just one month, a record-breaking time for the construction of a supercomputer.

Shainer: “The ability to build a supercomputer in a month is based on expertise in communication and expertise in processors. We have developed a reference design that allows anyone to build a supercomputer, based on ready made blocks of Nvidia’s processors and Mellanox’s communication. Because the processors are fully compatible with the communications cards, the computer can be set up in no time. In fact, we have jointly developed a reference design that allows for the construction of computers of any size – not just supercomputers.”