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1. #NVIDIA GEFORCE 930M VS NVIDIA GTX 480 GPU. FULL#
2. #NVIDIA GEFORCE 930M VS NVIDIA GTX 480 GPU. PROFESSIONAL#

#NVIDIA GEFORCE 930M VS NVIDIA GTX 480 GPU. FULL#

It combines a multiply of two FP16 units (into a full precision product) with a FP32 accumulate operation-the exact operations used in Deep Learning Training computation. ** Value is estimated and calculated based upon theoretical FLOPS (clock speeds x cores) TensorFLOPS and Deep Learning PerformanceĪ new, specialized Tensor Core unit was introduced with “Volta” generation GPUs. * Exact value depends upon PCI-Express or SXM2 SKU Half-precision (16-bit) Floating Point Performance

Here is a comparison of the half-precision floating-point calculation performance between GeForce and Tesla/Quadro GPUs: NVIDIA GPU Model Although all NVIDIA “Pascal” and later GPU generations support FP16, performance is significantly lower on many gaming-focused GPUs. This was previously the standard for Deep Learning/AI computation however, Deep Learning workloads have moved on to more complex operations (see TensorCores below). Support for half-precision FP16 operations was introduced in the “Pascal” generation of GPUs. Some applications do not require as high an accuracy (e.g., neural network training/inference and certain HPC uses). * Exact value depends upon PCI-Express or SXM2 SKU FP16 16-bit (Half Precision) Floating Point Calculations Here is a comparison of the double-precision floating-point calculation performance between GeForce and Tesla/Quadro GPUs: NVIDIA GPU Modelĭouble-precision (64-bit) Floating Point Performance Although almost all NVIDIA GPU products support both single- and double-precision calculations, the performance for double-precision values is significantly lower on most consumer-level GeForce GPUs. Less accurate values are called single-precision (32-bit). These larger values are called double-precision (64-bit). In these applications, data is represented by values that are twice as large (using 64 binary bits instead of 32 bits). Many applications require higher-accuracy mathematical calculations. FP64 64-bit (Double Precision) Floating Point Calculations

#NVIDIA GEFORCE 930M VS NVIDIA GTX 480 GPU. PROFESSIONAL#

There are many features only available on the professional Tesla and Quadro GPUs. However, it’s wise to keep in mind the differences between the products. The consumer line of GeForce GPUs (GTX Titan, in particular) may be attractive to those running GPU-accelerated applications. All NVIDIA GPUs support general-purpose computation (GPGPU), but not all GPUs offer the same performance or support the same features. This resource was prepared by Microway from data provided by NVIDIA and trusted media sources.