AMAX unveils new series of servers for Artificial Intelligence and Machine Learning
19 Jun 2019 Fremont - AMAX, an expert in integrated supply chain manufacturing and orchestration, has made available the BrainMax series of servers designed to solve complex Big Data analytics, machine/deep learning, and artificial intelligence workloads. The systems debuted at CVPR 2019 in Long Beach, California. The BrainMax series feature the latest generation of NVIDIA RTX GPU accelerator cards based on the Turing architecture, Tensor Cores and real-time rendering cores for advanced deep learning and graphics rendering applications. Performance can be further enhanced by linking two cards via NVLink Bridge, for up to 300% GPU peer to peer bandwidth performance improvement.
AMAX enables software developers, OEMs, enterprises, and service providers to deliver intensive GPU solutions and AI applications. As an NVIDIA Elite Partner, AMAX now offers the most comprehensive line of GPU-integrated solutions optimized for deep learning at any scale - from high-performance workstations for development to large-scale production-ready GPU clusters complete with integrated high-density compute, storage and networking. AMAX can configure the hardware solutions based on each customer's workload requirements, development stage, or deployment and performance goals, scaling as those needs grow and evolve.
"AI workloads, projects and environments are not created equal", stated Lee Yee, Sr. VP Marketing and Corporate Strategy at AMAX. "Similarly, a human child exponentially processes more information and complex situations as they develop and adapt to new sensory experiences. AI practitioners need right-sized solutions that are flexible, power efficient, and ready-to-scale at every stage of AI development - across multi-Cloud and edge environments."
The AMAX BrainMax series includes:
- BrainMax DSW-1 and DSW-2 Workstations for Data Science: AMAX's BrainMax DSW-1 and DSW-2 Workstations for Data Science are based on a powerful reference architecture made up of single or dual, high-end NVIDIA Quadro RTX GPUs and NVIDIA CUDA-X AI accelerated data science software, such as RAPIDS, TensorFlow, PyTorch and Caffe. CUDA-X AI is a collection of libraries that enable modern computing applications to benefit from NVIDIA's GPU-accelerated computing platform. These data science workstations make it easy for scientists to wrangle, prep, train and deploy models quickly and accurately. These workstations provide enterprises with accelerated workflows for faster data preparation, model training and data visualization, helping them to accelerate Big Data analytics, visualization and data science.
- BrainMax QR-240 and QR-480 RTX Servers: AMAX's BrainMax RTX Servers 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 BrainMax QR-240, a 2U server featuring 4x NVIDIA Quadro GPUs and BrainMax QR-480, a 4U featuring 8x Quadro GPUs, are both highly configurable, fully-validated solutions for on-demand rendering and virtualization solutions in the data centre. Multiple high-end virtual workstations can be supported with NVIDIA Quadro Virtual Data Center Workstation (Quadro vDWS) software for remote, shared, and multi-GPU configurations. Furthermore, resource partitions can be created to provide both virtual workstations and dedicated render GPUs within a single BrainMax RTX server, providing unprecedented rendering and compute performance at a fraction of the cost, space, and power requirements of legacy platforms.
All AMAX GPU-integrated solutions are optimized for specific performance or technical requirements for Big Data or deep learning applications at any scale.