AMAX has just announced the launch of its NVIDIA A100 GPU Test Drive program for customers, to accelerate most demanding analytics, high-performance computing (HPC), inference, and training workloads.

The test drive program called “AMAX’s AceleMax™” is specifically designed for data center and is a series of NVIDIA GPU-based data center servers. The program is expected to provide customers a unique opportunity to test workloads on remote servers, leveraging NVIDIA HGX™ A100 platforms.

“AMAX is delighted to enable customers to test drive one of the AceleMax series of NVIDIA GPU-based data center servers and to help accelerate their most demanding analytics, HPC, inference, and training workloads.  AMAX’s AceleMax GPU solutions, powered by the latest NVIDIA A100 Tensor Core GPUs, deliver unprecedented performance and massive scalability,” said Dr. Rene Meyer, VP of Technology at AMAX.

AMAX deals with application-tailored cloud, data center, open architecture platforms, HPC, Deep Learning and OEM server manufacturing solutions. In addition, the company is also an NVIDIA Elite Partner to offer a line of GPU-integrated solutions optimized for deep learning at any scale.

“The NVIDIA A100 Tensor Core GPU accelerates the industry’s most demanding analytics, high performance computing, inference, and training workloads. AMAX’s test drive program allows customers to more easily tap into the performance and power of the NVIDIA A100 GPU by creating a quick and simple way to experience the results firsthand,” said Paresh Kharya, senior director of product management for accelerated computing at NVIDIA.

According to AMAX, the AMAX’s AceleMax™ series of NVIDIA GPU-based data center servers delivers the horsepower needed to run bigger simulations – with over 700 HPC applications and all AI frameworks accelerated, customers can expect to get a throughput boost for their workloads.

As announced, the technology is based on first-come first-serve reservations and clients will also have full access to the systems to freely test specific applications and performance.