DEEP LEARNING GPU PLATFORMS
The Most Powerful GPU Servers & Workstations Optimized for DL Workloads
Hyperscale GPU Accelerated AI Cloud Solution
Powered by NVIDIA Tesla GPUs and NVLink high-speed interconnect technology, the HGX-1 is purpose-built for AI/HPC cloud computing. Hosting 8x Tesla V100 SXM2 GPUs in a 4U chassis, the HGX-1 features 5, 120 Tensor Cores and 40, 960 CUDA Cores for 1 PFLOP of Tensor Core operations, and 125 TFLOPS of SP performance.
AMD EPYC GPU-Accelerated Compute Platform
Featuring the latest AMD EPYC CPUs, BrainMax™ P47v2 supports both 4x NVIDIA Tesla GPUs and Vega-based Radeon Instinct™ GPUs. The single socket platform easily manages machine learning, advanced rendering and HPC workloads previously only possible on high-end dual socket systems, making it a superior alternative to existing GPU solutions in the market.
Compact Deep Learning Workstation
Ultra-compact high-end Deep Learning development workstation, perfect for AI startups and labs. This ultra-quiet micro ATX workstation features 2x NVIDIA Titan RTX Quadro GV100, RTX 8000, 6000 or RTX 5000 GPUs, on-board dual 1G/10G Ethernet and enterprise-grade motherboard.
High-Performance Deep Learning DevBox
Our best-selling Deep Learning workstation for Deep Learning development! This ultra-quiet compact workstation featuring 4x NVIDIA Titan RTX, Quadro GV100, RTX 8000, 6000 or RTX 5000 GPUs, on-board dual 1G/10G Ethernet and enterprise-grade motherboard.
Turnkey High Performance Machine Learning Cluster
Rackscale solution featuring up to 96x NVIDIA® Tesla GPU accelerator cards for up to 1.34 PFLOPs per rack. All-Flash storage for an ultra-fast in-rack data repository, dual 25GbE ROCE or 100G EDR InfiniBand high speed networking, [SMART]DC Data Center Manager and optional in-rack battery for power loss protection.