The NVIDIA Tesla V100 SXM2 32GB is a data center GPU accelerator from the Volta architecture, launched in March 2018, featuring the GV100 chip with 5120 CUDA cores, 640 Tensor cores, and 32GB of HBM2 memory (4096-bit interface at 876 MHz effective, delivering 897 GB/s bandwidth) on a 12nm process. Designed for AI, deep learning, HPC, and scientific simulations in NVLink-enabled DGX/Pascal servers (SXM2 form factor, dual-slot passive cooling, 250W TDP, PCIe 3.0 x16), it offers up to 125 TFLOPS FP16 performance with mixed-precision Tensor Cores, NVLink 300 GB/s interconnect, and no display outputs for multi-GPU scaling. This enterprise-grade card excels in training large neural networks and weather modeling with ECC memory support, making it a cornerstone for hyperscale AI infrastructure despite its end-of-life status.
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