Rentacomputer.com has been selected as Nvidia’s official North American rental partner for the all-new Nvidia DGX Station A100 to open up the world of AI supercomputing to a wider variety of enterprise customers. These systems are quickly increasing in demand due to the wide array of organizations looking for a flexible AI development platform without paying for the data center infrastructure.
Now available at a low monthly price point, rental customers can rent a DGX Station A100, use it for as long as they like, and then return it when the project is complete. Continue reading to learn more about the DGX Station A100, and how Nvidia and Rentacomputer.com are teaming up to give smaller businesses the opportunity to use the world’s only office-friendly AI supercomputer.
Organizations are using data science to turn data into a competitive advantage by refining products and services. After all, data science is one of the most quickly growing fields in the world. Why? Because many companies are sitting on a literal treasure trove of data – just waiting to be utilized. Modern technology has enabled the storage of vast amounts of information and as a result, data volumes have exploded – it’s estimated that 90 percent of the data in the world was created in the last two years.
By analyzing this data, data science and AI can reveal insights that businesses can use to make better decisions and create more innovative products and services. This wealth of data can have truly transformative benefits to businesses and societies around the world – but only if it can be properly interpreted. That’s why many companies use data centers in order to use machine learning (ML) models to learn from the vast amounts of data being fed to them, rather than relying upon human business analysts to see what conclusions they can draw from unfathomable amounts of data and information.
With many companies making data science a priority and investing in these programs heavily, it’s important to consider all of your options when it comes to data processing – enter the DGX Station A100.
Recommended News : Predictions Series 2022: Interview with Param Kahlon, Chief Product Officer at UiPath
Data science teams are often left searching for available AI compute cycles in order to complete projects, often leveraging the use of large, expensive data centers in order to perform complex computations. These teams need a dedicated resource that can plug in anywhere and provide maximum performance for multiple, simultaneous users anywhere in the world. Nvidia DGX Station A100 brings AI supercomputing to data science teams, offering data center technology without a data center or additional IT infrastructure.
Organizations around the world can provide multiple users with a centralized AI resource for all workloads that delivers an immediate on-ramp to Nvidia DGX™-based infrastructure and works alongside other Nvidia-Certified Systems with a DGX Station A100 rental now available from Rentacomputer.com and iRent. With Multi-Instance GPU (MIG), it’s possible to allocate up to 28 separate GPU devices to individual users and jobs.
Perfect for training, inference, and data analytics, the DGX Station A100 is a server-grade AI system that doesn’t require data center-grade power and cooling. Including four Nvidia A100 Tensor Core GPUs, a top-of-the-line server-grade GPU, super-fast NVMe storage, and leading-edge PCIe Gen4 buses – the A100 includes remote management so you can manage your Station like a server.
With no complicated installation processes or significant IT infrastructure required, the DGX Station A100 can truly be placed anywhere your data science team requires complex computations. Simply plug your Station into any standard wall outlet to get it up and running in minutes – and work from anywhere. This supercomputer was truly designed for today’s agile data science teams that work in corporate offices, labs, research facilities, or even from home – as the DGX Station A100 can run simultaneous processes from multiple users without affecting performance.
Recommended AI News: Celsius Integrated Tezos
With an Nvidia DGX Station A100 rental, you’ll have an opportunity to use the world’s only office-friendly system with four fully interconnected and MIG-capable Nvidia A100 GPUs, leveraging Nvidia NVLink for running parallel jobs and multiple users without impacting system performance. You can also train large models using a fully GPU-optimized software stack and up to 320 gigabytes (GB) of GPU memory.
“You can think of us progressing in two directions, one with constant innovation to raise the bar. But the other is to really democratize AI to put it in the hands of as many companies and scientists as we possibly can,” said Manuvir Das, head of enterprise computing at Nvidia. “We are also announcing for the first time a rental model. Instead of procuring a DGX Station, customers will be able to rent a station directly from Nvidia at a low monthly price point, and they can use it for as long as they choose and then return it to Nvidia. So that’s an important direction that we are taking with the Station.”
By making the DGX Station A100 available to rental customers, Nvidia opens up the world of AI to a wider variety of enterprise customers as they investigate areas such as AI, data science, drug discovery, autonomous vehicles, healthcare, manufacturing, and more. These data processing units (DPUs) can offload, accelerate, and isolate users’ data – providing customers with a secure connection to their AI infrastructure.
Nvidia’s idea was to broaden AI adoption for enterprise IT departments that need to support the work of teams in multiple locations, help academic and research institutions, and get powerful supercomputing into the hands of a wider variety of customers. “We have to make AI easier to use,” said Jensen Huang, President, CEO, and co-founder of Nvidia Corporation in a press release.
Recommended AI News: FinClusive and Velo Labs Announce Partnership to Streamline Cross-Border Payments with Financial Crimes Compliance
[To share your insights with us, please write to sghosh@martechseries.com]
Comments are closed.