high-performance GPUs - reach the next level of computing power

why GPU in advanced data analysis?

For the most demanding areas of use in data processing and analysis, new and more efficient tools are needed. A GPU (Graphics Processing Unit) has historically been used to perform calculations to render a 3D image on a screen. On a modern GPU, intended for data centers, a user can instead perform calculations in programs that traditionally used a processor (CPU), which provides several major advantages.

Using GPUs is fast becoming a new standard for highly parallel computing tasks in science and technology. With a GPU, you can train your AI models faster and process huge amounts of data in a short amount of time. A performance improvement on your application of 50-150x depending on the application is often reasonable compared to doing the same work on a CPU. This enables new areas of use such as image analysis in real time (e.g. for face 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 loads where you can do many tasks at the same time (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 significantly faster than normal RAM memory. The result 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 binero's GPU solution look like?

Binero's public cloud service now also offers graphics card acceleration (GPU acceleration). Our solution is based on Nvidia's Ampere series of GPUs, optimized for data centers and computing. We provide multiple sizes of GPU memory so our users can find the most cost-effective solution for their needs.

The possibility of using storage based on NVMe is also available for these instances to optimize IO-intensive and latency-sensitive buffering of data during heavy calculations. Binero offers GPUs with the highest flexibility in a transparent "pay-as-you-go" model where you pay by the hour.

Cloud-based GPU is an efficient solution to complex tasks and has many advantages:

• Acceleration of heavy calculations
• Flexibility in a cloud infrastructure
• High performance computing power
• Low latency connection between servers in the platform
• Possibility of NVMe-based storage