AMAX releases next generation of deep learning and data analytics platforms
According to a recent SAS report, 72% of enterprises say data analytics enables them to create valuable insights. As a result, more companies are now opting for innovative platforms that allow them to derive value from their data.
The next generation of platforms
The award-winning technology provider AMAX has launched the next generation of big data analytics and machine/deep learning platforms. Speaking at GTC 2019 in San Jose, the company announced a wealth of new features.
In fact, these new solutions include the latest generation of NVIDIA RTX accelerator cards based on the Turing architecture. Tensor Cores and real-time rendering cores for advanced deep learning and graphics rendering applications also feature.
As a result, companies can enhance their data analytics performance by linking two cards via NVLink Bridge. AMAX also custom configures its solutions based on "each customer's compute requirements, stage of development or deployment and performance goals, scaling as those needs grow and evolve."
A wealth of new features
In a recent press release, AMAX also launched the new ServMax DSW Liquid-Cooled Workstation. In effect, this GPU-based workstation accelerates big data analytics, visualisation and data science.
This "ultra-silent" workstation can withstand any working environment. This is due to the workstation existing within a "resilient metal chassis", and is available in two form factors "integrating either a single NVIDIA Quadro RTX™ GPU or dual."
Fully optimised with NVIDIA CUDA-X AI™ software, these workstations enhance and improve data analysis. Subsequently, they provide enterprises with "accelerated workflows for faster data preparation, model training and data visualisation."
In addition to this, AMAX has also released ServMax™ RTX Servers. These represent the most "efficient and scalable GPU-powered rendering solution for on-demand rendering (such as render farms) and virtual graphics workstations via VDI."
The tool can create resource partitions in order to provide both virtual workstations and dedicated render GPUs within a single ServMax RTX server. As a result, this provides "unprecedented rendering and compute performance at a fraction of the cost, space, and power requirements of legacy platforms."