Tesla V100 32GB SXM2 GPU W/ Pcie Adapter & 6+2 Pin For AI Computing

GPU Name:GV100<br> Process Size:12 nm<br> Bus Interface:PCIe 3.0 x16<br> Base Clock:1230 MHz<br> Boost Clock:1380 MHz<br> Memory Clock:876 MHz<br> Slot Width:Dual-slot<br> TDP:250 W<br> Suggested PSU:600 W<br> Power Connectors:2x 8-pin<br> Memory Size:32 GB<br> Memory Type:HBM2<br> Memory Bus:4096 bit<br> DirectX:12 (12_1)<br>

• High-Precision Deep Learning Performance: Optimized specifically for artificial intelligence (AI) workloads, this Tesla V100 delivers unparalleled precision and speed using Tensor Core technology.
• Versatile Application Ecosystem: Designed to tackle diverse computational challenges ranging from training deep neural networks to executing high-performance analytics, making it ideal for research institutions, financial services, medical imaging facilities, and more.
• Large Memory Capacity: With an impressive 32 GB HBM2 memory configuration, the Tesla V100 provides ample storage space for complex data sets, enabling seamless execution of large-scale computations.
• Energy Efficiency Leadership: Engineered to deliver exceptional power savings while maintaining top-tier performance benchmarks, contributing positively to both operational costs reduction and carbon footprint mitigation efforts within businesses.
• Scalability for Large-Scale Deployments: Built-in NVLink capabilities facilitate scalable deployments across multi-GPU configurations, delivering superior throughput and efficiency for enterprise-level solutions.