Nvidia and Google Cloud Create Industry’s First AI-on-5G Lab
Nvidia today announced that it is partnering with Google Cloud to establish an AI-on-5G Innovation Lab. This will enable network infrastructure players and AI software partners to develop, test, and adopt solutions that will help accelerate the creation of smart cities, smart factories, and other advanced 5G and AI applications.
The lab will provide enterprises with access to Google Cloud’s Anthos platform and NVIDIA accelerated computing hardware and software platforms that let them harness data and AI to drive business performance, improve operational efficiency, and optimise safety and reliability. The companies will begin development in the second half of the year.
“The global telecommunications industry is undergoing a sweeping transformation as the speed and low latency of 5G create unprecedented opportunities to deliver AI-on-5G at the enterprise edge,” said Ronnie Vasishta, senior vice president of Telecom at NVIDIA. “Our collaboration with Google Cloud will help network operators and infrastructure players conceive and create new profit centers built on AI and machine learning.”
AI edge applications via 5G networks
The move comes two months after Nvidia announced it would work with multiple partners, including Google Cloud, to drive AI edge applications via 5G networks. Google Cloud is extending the Anthos application platform to the network edge, allowing telecommunications service providers and enterprises to rapidly deliver new services and applications at the 5G edge.
“Google Cloud, with our Anthos application platform, is enabling service providers and enterprises across many vertical markets to connect seamlessly over 5G at the network edge,” said Shailesh Shukla, vice president and general manager for Networking at Google Cloud. “We’re excited to extend our collaboration with NVIDIA to deliver a joint innovation lab that provides the infrastructure required for enterprises, communications service providers and partners to develop, test and deploy their edge AI applications.”
Anthos enables customers to build and deploy enterprise-grade applications faster with managed Kubernetes in the cloud, on-premises and at the network edge. Anthos supports NVIDIA GPU-accelerated servers, enabling a consistent deployment and operational experience across deployments. The platform also protects applications and software supply chains and provides an outcome-focused approach to managing policies for applications across environments, which is a key feature for network operators and enterprises delivering AI on 5G.
Nvidia’s platform for AI startups passes 8,500 members
NVIDIA Inception, an acceleration platform for AI startups, has now surpassed 8,500 members. That’s about two-thirds of the total number of AI startups worldwide, as estimated by Pitchbook.
NVIDIA Inception is a programme built to accommodate every startup that is accelerating computing, at every stage in their journey. All programme benefits are free of charge and startups never have to give up equity to join.
Since Inception’s launch in 2016, it has grown more than tenfold. With total cumulative funding of over $60 billion and members in 90 countries, NVIDIA Inception is one of the largest AI startup ecosystems in the world. Growth has accelerated year over year, with membership increasing to 26% in 2020, and reaching 17% in the first half of 2021.
Data from across the world
Inception figures show the United States leads the world in terms of both the number of AI startups, representing nearly 27%, and the amount of secured funding, accounting for over $27 billion in cumulative funding. 42% of US-based startups were in California, with 29% in the San Francisco Bay Area.
Behind the US is China, in terms of both funding and company stage, with 12% of NVIDIA Inception members based there. India comes in third at 7%, with the UK right behind at 6%.
AI startups based in the US, China, India, and the UK account for just over half of all startups in NVIDIA Inception. Following in order after these are Germany, Russia, France, Sweden, Netherlands, Korea and Japan.
In terms of industries, healthcare, IT services, intelligent video analytics (IVA), media and entertainment (M&E) and robotics are the top five in NVIDIA Inception. AI startups in healthcare account for 16% of Inception members, followed by those in IT services at 15%.
More than 3,000 AI startups have joined Nvidia Inception since 2020. “Some countries are accelerating their ecosystem of AI startups by investing money and encouraging the local players to create more companies,” said Serge Lemonde, global head of Nvidia Inception, in an interview with VentureBeat.
“In our programme, what we are looking at is to help them all,” Lemonde said. “The lesson here is really having this window on the landscape and helping the startups all around the world — [this] is helping us understand the new trends. We can help more startups by developing our software and platforms for the upcoming trends.”