ACCEL-VM1000 a AI performance Monster for medical image platform with DUAL Nvidia RTX A6000 CARD
ACCEL-VM1000 leverage Nvidia Technology to provide two high end GPU solution with equipping 12th Generation Xeon or i9 Intel processor and up to 128GB ECC or Non-ECC memory to provides the maximum AI computing power in medical image application. ACCEL-VM1000 not only provides
three expansion slots to integrate 2 graphic card including Nvidia RTXA6000 and 1 x capture card, but also excellent thermal solution to ensure reliability of the system, it makes ACCEL-VM1000 to be the best solution for AI Medical image computing platform
NVIDIA Ampere Architecture
NVIDIA RTX A6000 is the most powerful workstation GPU NVIDIA offering high performance real-time ray tracing, AI-accelerated compute, and professional graphics rendering. Building upon the major SM enhancements from the Turing GPU, the NVIDIA Ampere architecture enhances ray tracing operations, tensor matrix operations, and concurrent executions of FP32 and INT32 operations.
PCIe Gen 4
The RTX A6000 supports PCI Express Gen 4, which provides double the bandwidth of PCIe Gen 3,improving data-transfer speeds from CPU memory for data-intensive tasks like AI and data science.
Higher Speed GDDR6 Memory
Built with 48GB GDDR6 memory delivering 15% greater throughput for ray tracing, rendering, and AI workloads than the previous generation. The RTX A6000 provides the industry’s largest graphics memory footprint to address the largest datasets and models in latency-sensitive professional applications.
3rd Generation NVLinkii
Connect two RTX A6000 cards with NVLink to double the effective memory footprint and scale application performance by enabling GPU-to-GPU data transfers at rates up to 112.5 GB/s (total bandwidth).
Excellent thermal solution with low noise
Dual Graphic card and one capture card integration
12th Generation Xeon and Core I Processor with up to 128GB ECC or Non-ECC Memory
High efficiency configurable medical power supply integration
PCIe Gen 5 and DDR 5 support