“To harness the incredible potential of generative AI, enterprises need adaptable, scalable hybrid infrastructure in their local markets to bring AI supercomputing to their data. Our new service provides customers a fast and cost-effective way to adopt advanced AI infrastructure that’s operated and managed by experts globally”, said Charles Meyers, president and CEO of Equinix.

The service is available now and includes NVIDIA DGX systems, NVIDIA networking and the NVIDIA AI Enterprise software platform. Equinix installs and operates each customer’s privately owned NVIDIA infrastructure and can deploy services on their behalf in key International Business Exchange™ (IBX) data centers globally.

“Generative AI is transforming every industry. Now, enterprises can own NVIDIA AI supercomputing and software, paired with the operational efficiency of Equinix management, in hundreds of data centers worldwide”, said Jensen Huang, founder and CEO of NVIDIA.

Scalable Service to Fuel Innovation Across Industries

Through the service, enterprises can scale their infrastructure operations to achieve the level of AI performance needed to develop and run massive models.

Early access companies using the service include leaders in biopharma, financial services, software, automotive and retail, which are building AI Centers of Excellence to provide a strategic foundation for a broad range of rapidly developing LLM use cases.

These include accelerating time to market for new medications, developing AI copilots for customer service agents and building virtual productivity assistants.

Easy Access to Privately Managed NVIDIA AI Supercomputing

Equinix’s fully managed NVIDIA AI supercomputing service enables customers to operate their AI infrastructure in close proximity to their data.

The service offers high-speed private network access to global network service providers, enabling quick generative AI information retrieval across corporate wide area networks. In addition, it provides private, high-bandwidth interconnections to cloud services and enterprise service providers to facilitate AI workloads while meeting data security and compliance requirements.

Using the service, customers can easily access their NVIDIA AI Enterprise software to streamline the development and deployment of production-grade AI applications, including generative AI. NVIDIA AI Enterprise includes pretrained models, optimized frameworks and accelerated data science software libraries—such as the NVIDIA NeMo™ framework for building LLMs, NVIDIA RAPIDS™ for data science, NVIDIA Clara for healthcare and NVIDIA TensorRT™–LLM for performance optimization of large language models.

Enterprise-Level Support

The comprehensive solution also features enterprise-grade support and security. This includes Equinix’s IBX data center professionals to help customers rapidly build and deploy their custom AI models, as well as access to NVIDIA AI experts.

The fully managed private cloud service is available today.

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The idea for NVIDIA AI Enterprise was born out of the fact that many companies are planning to use artificial intelligence and accelerated computing to drive growth and save costs at the same time.

NVIDIA AI Enterprise 3.0 will introduce workflows for intelligent virtual assistants in contact centers, audio transcription, and digital fingerprinting for cybersecurity – some of the most common enterprise applications that leverage AI for the sake of better customer service.

NVIDIA AI Enterprise 3.0 expands support for more than 50 NVIDIA AI software frameworks and pretrained models available on the NVIDIA NGC software catalog, supercharging and simplifying AI deployments for organizations globally.

Why are new NVIDIA AI Enterprise workflows accelerating companies success? 

The latest release of a cloud-based artificial intelligence software suite enables organizations to solve business challenges while increasing operational efficiency. It accelerates the data science pipeline and streamlines the development and deployment of AI models to automate core processes and gain insights from data quickly.

The NVIDIA contact center intelligent virtual assistant AI workflow enables enterprises to respond to customers around the clock to reduce wait times and free up time for human contact center agents to support more complex inquiries — all while reducing costs.

NVIDIA AI Enterprise 3.0 also features unencrypted pretrained models and source code from the latest release of NVIDIA TAO Toolkit, a low-code AI development solution for creating highly accurate, customized, production-ready AI models for speech and computer vision AI applications.

NVIDIA AI Enterprise 3.0 also introduces support for a broad range of NVIDIA AI frameworks and infrastructure options related to improving healthcare, NVIDIA AI frameworks to improve customer service, safety, sales, expanded cloud certification, expanded AI support for hybrid data centers, and expanded support for storage and virtualization.

In terms of dealer’s income, the market grew by approximately 20.6 per cent, year-over-year, in Australia and almost 20.4 per cent, year-over-year, in New Zealand during the first half of this year.

As the pandemic forced us to remote work, the collaboration applications segment has led the charge, claiming the greatest annual growth rate of the entire software market,  reaching around US$257.8 million across A/NZ.

According to IDC, businesses continue to invest in team collaborative applications in order to support productivity, effective communications with clients and partners, and promote engagement among employees in a new hybrid environment.

At the same time, a huge number of organisations are launching their digitisation journeys and influencing digital technologies.

Artificial intelligence platforms showed the second strongest year-over-year increase of any segment in the software market, after collaboration apps, growing by almost 35 %across A/NZ and reaching  approximately US$111.5 million. This rapid growth means strong demand from A/NZ organisations in modernisation and the streamlining of core business processes, according to the analyst firm.

Moreover, the fulfilment of AI software services and intelligent knowledge discovery tools is on the rise, supporting decision-making and forecasting, and improving business outcomes.

According to Anastasia Antonova, who is a senior market analyst at IDC A/NZ, organisations across Tasman are investing in intelligent process automation tools and leveraging AI capabilities. In that way, they modify operational processes and improve customer and business data analysis in their collective bid to meet individual customer needs.

The third strongest annual growth during this period of time is about 31%, reaching approximately US$164.6 million and it belongs to the integration and orchestration middleware software. The rapid growth of integration software has been largely driven by legacy modernisation, hybrid integration, workflow and process automation and application programming interface (API)-led innovation initiatives, according to IDC.

Research by Gartner,suggested that global AI software spending will grow roughly 21.3% to about US$62 billion during the next year.

The analyst firm indicated that knowledge management, virtual assistants, autonomous vehicles, digital workplace and crowdsourced data would make up the top five use cases for AI software spending in 2022. Gartner senior research director Alys Woodward said:

“Use cases that deliver significant business value, yet can be scaled to reduce risk, are critical to demonstrate the impact of AI investment to business stakeholders.”

The report also noted that the demand for AI technologies and associated market growth is closely tied to organisational AI maturity levels.

The sector will have had a revenue boost of 21.3% compared to this year if it manages to reach that number. According to Gartner’s analysis, AI software included categories such as Knowledge Management, Virtual Assistants, Autonomous Vehicles, Digital Workplace, Crowdsourced Data, and Others.

Amongst the categories mentioned above, Knowledge Management is expected to see the strongest growth next year at 31.5% and Virtual Assistants will see the least growth at 14.7%. According to the analyst firm, however, it could take until the middle of the decade before half of organisations worldwide adopt AI in a more mainstream fashion which it called the ‘stabilisation stage’ of AI maturity. Commenting on the findings, Alys Woodward, senior research director at Gartner, said:

“The AI software market is picking up speed, but its long-term trajectory will depend on enterprises advancing their AI maturity. Successful AI business outcomes will depend on the careful selection of use cases. Use cases that deliver significant business value, yet can be scaled to reduce risk, are critical to demonstrate the impact of AI investment to business stakeholders.”

Gartner said that AI will continue to increase as organisations and will probably overcome their reluctance to embrace and trust AI, and find ways to deliver business value from AI technologies.