High-performance GPUs – reach the next level of computing power

Why GPU in advanced data analytics?

New and more efficient tools are needed for the most demanding applications in data processing and analysis. A GPU (Graphics Processing Unit, ‘graphics card’) has historically been used to perform calculations to render a 3D image on a screen. On a modern GPU designed for data centres, a user can instead perform calculations in programs that traditionally use a processor (CPU), which offers several major advantages.

Utilising GPUs is rapidly becoming the new standard for highly parallel computing tasks in science and engineering. With a GPU, you can train your AI models faster and process huge amounts of data in a short time. A performance improvement of 50-150x on your application, depending on the use case, is often reasonable compared to performing the same work on a CPU. This enables new use cases such as real-time image analysis (e.g. for facial recognition) or machine learning via neural networks.

What is the difference between GPU and CPU?

A modern GPU typically contains over a thousand processor cores and is therefore extremely good at computational tasks where many tasks can be performed simultaneously (parallel load instead of serial load). A consequence of this is very high bandwidth through the GPU, which in turn places high demands on its memory, which is normally considerably faster than standard RAM memory. The product of these differences is a device that differs significantly from the ‘multitasking’ CPU by focusing on many simpler tasks of the same type.

What does Bineros' GPU solution look like?

Bineros' offentlige cloud-tjeneste tilbyder nu også grafikkortacceleration (GPU-acceleration). Vores løsning er baseret på Nvidias Ampere-serie af GPU'er, der er optimeret til datacentre og beregninger. Vi tilbyder flere størrelser af GPU-hukommelse, så vores brugere kan finde den mest omkostningseffektive løsning til deres behov.

Muligheden for at udnytte NVMe-baseret lagring findes også for disse instanser for at optimere IO-intensiv og latenstidsfølsom mellemlagring af data ved tunge beregninger. Binero tilbyder GPU med højeste fleksibilitet i en gennemsigtig »pay-as-you-go«-model, hvor man betaler pr. time.

Cloud-baseret GPU er en effektiv løsning til komplekse opgaver og har mange fordele:

• Acceleration af tunge beregninger
• Fleksibilitet i en cloud-infrastruktur
• Højtydende regnekraft
• Lav latenstid mellem servere i platformen
• Mulighed for NVMe-baseret lagring