NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.
GPU compute testing. Execute/debug existing automation tests. Work closely with cross-functional teams to understand the test requirements and take ownership of product quality. Implement API, integration and unit tests for CUDA driver and library Automate CUDA tests and enable them in testing ...
Yes, you can run any version of NVIDIA virtual GPU (vGPU) software on an NVIDIA-Certified System, as long as this server is also on the list of vGPU-certified servers. You must also ensure that the system’s GPUs have the features necessary to support the applications. See the NVIDIA GP...
GPU testing for Deep Learning products to ensure functionality, compatibility and performance for various SDK (cuDNN, TensorRT, etc) and Frameworks. Be responsible for Deep Learning Software test development and enhancement (Driver, SDK, and Frameworks). ...
NVIDIA-Certified Systems testing of Data Center Servers, Workstations, High-Density VDI systems, and Edge devices includes measures of: Single and multi-GPU Deep Learning training performance using TensorFlow and PyTorch High volume, low latency inference using NVIDIA TensorRT and TRITON GPU-Accel...
The NVIDIA vGPU software lifecycle is related to the NVIDIA GPU hardware product lifecycle. Specifically, NVIDIA vGPU software support is coupled to the lifecycle of the NVIDIA GPU it was released on. An active SUMS or software subscription is required t
Our AI edge embedded systems feature an integrated 256-core NVDIA® Pascal GPU, a hex-core ARMv8 64-bit CPU complex and LPDDR4 system memory designed for smart transportation, smart city and smart manufacturing applications such as license plate recognition, security and surveillance, edge ...
GPU id:7;name: Tesla V100-SXM2-32GB;Bus id: 0000:8a:00 selecting device 0 testing size: 65536 rounded size: 65536 gpu alloc fn: cuMemAlloc device ptr: 7f5817a00000 map_d_ptr: 0x7f583b186000 info.va: 7f5817a00000 info.mapped_size: 65536 ...
Learn to build, train, fine-tune, and deploy a GPU-accelerated automatic speech recognition (ASR) service with NVIDIA® Riva that includes customized features. 2 hours Integrating Sensors With NVIDIA DRIVE Find out how to integrate automotive sensors into your applications using NVIDIA DRIVE®. ...
RehabMan for various enhancements RemB for continuing sleep-wake research and finding the right register for AMD issues Vandroiy for maintaining the GPU model detection database YungRaj and syscl for Intel fix backporting vit9696 for writing the software and maintaining itAbout...