One of a Kind in the Cloud: Linode Lifts Customers with Quadro RTX Performance

Linode taps the power of NVIDIA Quadro RTX to accelerate complex workloads.
by Allen Bourgoyne

Whether you’re an individual, a small business or a large organization, the need to spin up a Linux virtual machine for working remotely has never been greater.  So you need one of the industry’s most accessible cloud offerings to get compute resources you need.

Linode, a cloud-hosting company based in Philadelphia, specializes in providing users with a wide range of virtual compute services, from a single Nanode (single-core CPU, 1GB RAM) to multiple dedicated CPU options.

And it’s one of the first cloud service providers in the industry to offer multiple dedicated NVIDIA Quadro RTX 6000 GPUs. Coupled with its dedicated CPUs, Linode’s Quadro RTX 6000 offering delivers the latest GPU technology to more end users, no matter where they are in the world.

Meeting computing needs is complex because workloads are growing larger and they’re increasingly overlapping. Quadro GPUs enable Linode to upgrade its cloud offerings and foster innovation for every user.

“Our customers need a high-performance, flexible GPU to handle their scientific workflows, graphics rendering and engineering cases,” said Alejandro “Alex” Peña, research and development engineer at Linode. “High performance computing and AI are no longer strictly enterprise or academic endeavors.”

With Linode’s Quadro offering, customers can deploy GPUs that are capable of handling a wide range of workloads and ensure GPU acceleration is easily accessible for all users.

NVIDIA Quadro RTX – Support for Every Workload

Linode honed in on NVIDIA Quadro GPUs due to their impressive memory, versatility and performance. “We have incredibly stringent performance standards,” said Peña. “The NVIDIA Quadro RTX 6000 was a real standout.”

The Quadro RTX 6000 supports Linode’s customers with powerful capabilities thanks to its Tensor Cores, RT Cores and CUDA, NVIDIA’s parallel computing and programming platform. Its Turing architecture efficiently handles multiple tasks simultaneously to accelerate a variety of complex workloads, including graphics, deep learning, AI, rendering, simulations and ray tracing.

“NVIDIA’s introduction of RT Cores really appealed to us because we wanted to ensure Linode could support a variety of parallel processing use cases,” said Peña. “NVIDIA RTX GPUs are highly agile and customizable and support extensive processing capabilities.”

Having selected NVIDIA RTX, Linode’s next step was to launch a pilot study in its Newark, New Jersey, data center. The pilot quickly reached maximum capacity, and soon plans were made to deploy NVIDIA RTX GPUs at more of Linode’s 11 global data centers.

Everyone Can Access Versatile GPUs on Demand

With NVIDIA Quadro RTX 6000 GPUs, the types of workloads users can run on Linode are virtually endless.

They can provision cloud instances in a way that allows them to easily choose the number of GPUs, number of CPU cores and the amount of RAM needed to accomplish specific workloads.

With Linode’s RTX instances, everyone can take advantage of a commercial-grade GPU for as little as 30 minutes thanks to transparent pricing and easy deployment. While some Linode users are running multiple GPUs all day every day for months, others are only spinning them up for a few minutes to a couple of hours.

“From the start, Linode’s mission has been to make computing more accessible to more people,” said Peña. “NVIDIA RTX GPUs enable us to provide an easier, affordable solution for scientists, artists and engineers to access significant parallel computing power for academic research, video rendering and AI.”

Learn more about NVIDIA RTX.