Tesla V100 GPU

The Tesla V100 is NVIDIA's data center GPU based on the Volta architecture, introduced in 2017. As a previous-generation product in NVIDIA's lineup, it sits below current offerings like the H100 and GB300 series, but established many foundational technologies still used today. The V100 was the first GPU to introduce Tensor Cores for accelerated AI workloads and marked NVIDIA's initial major push into the data center AI market. The V100 features 32GB of HBM2 memory with 900 GB/s of memory bandwidth, 5,120 CUDA cores, and 640 Tensor Cores built on a 12nm manufacturing process. Its 4,096-bit memory interface provides substantial memory throughput, while the GPU delivers 14 TFLOPS of FP32 performance and 112 TFLOPS of FP16 performance. The 250W TDP makes it relatively power-efficient for a data center GPU of its generation. In cloud deployments, the V100 serves as an entry-level option for organizations beginning AI development or running smaller-scale workloads. Its combination of substantial VRAM and Tensor Core acceleration makes it suitable for training smaller models, inference workloads, and traditional HPC applications where cutting-edge performance is not required.