CUDA, Nvidia, Cloud computing, GPGPU, Graphics processing unit, Scalable Link Interface
High-performance image generation using Stable Diffusion in KerasCV
Keras documentation
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High performance inference with TensorRT Integration
Posted by: Pooya Davoodi (NVIDIA), Guangda Lai (Google), Trevor Morris (NVIDIA), Siddharth Sharma (NVIDIA)
TensorFlow, PyTorch or MXNet? A comprehensive evaluation on NLP & CV tasks with Titan RTX
Thanks to the CUDA architecture [1] developed by NVIDIA, developers can exploit GPUs’ parallel computing power to perform general computation without extra efforts. Our objective is to ...
ELECTRA For TensorFlow2
Deep Learning Examples. Contribute to NVIDIA/DeepLearningExamples development by creating an account on GitHub.
Building a Question and Answering Service Using Natural Language Processing with NVIDIA NGC and Google Cloud
NVIDIA GTC provides training, insights, and direct access to experts. Join us for breakthroughs in AI, data center, accelerated computing, healthcare, game development, networking, and more.
Learn how to set up a GPU-enabled virtual server instance (VSI) on a Virtual Private Cloud (VPC) and deploy RAPIDS using IBM Schematics.
Learn how to set up a GPU-enabled virtual server instance (VSI) on a Virtual Private Cloud (VPC) and deploy RAPIDS using IBM Schematics....
Getting Started with Distributed TensorFlow on GCP
Learn the basics of distributed training and how to easily scale your TensorFlow program across multiple GPUs on the Google Cloud Platform.
Deepset achieves a 3.9x speedup and 12.8x cost reduction for training NLP models by working with AWS and NVIDIA
This is a guest post from deepset (creators of the open source frameworks FARM and Haystack), and was contributed to by authors from NVIDIA and AWS. At deepset, we’re building the ...
Oracle and NVIDIA bring the power of the Cloud to the next generation of Machine Learning and AI
US: Oracle has announced that Oracle is the first public cloud provider to support the NVIDIA HGX-2™ platform on Oracle Cloud Infrastructure, to meet the needs of the next generation of ...
Enhance and Accelerate VDI with NetApp HCI and NVIDIA
This week at VMworld, we’re launching the new NetApp HCI H615C compute node with NVIDIA T4 cards. With this solution, you can handle virtualized 3D graphics workloads on various products ...
Azure.Source - Volume 75
Windows Virtual Desktop now in public preview on Azure; Azure Backup for SQL Server in Azure Virtual Machines now generally available; Microsoft’s Azure Cosmos DB is named a leader in the ...
Raspberry Pi-style Jetson Nano is a powerful low-cost AI computer from Nvidia
The $99 Jetson Nano Developer Kit is a board tailored for running machine-learning models and using them to carry out tasks such as computer vision.
Oracle and NVIDIA Bring the Power of the Cloud to the Next Generation of Analytics, Machine Learning and AI
Oracle (NYSE:ORCL) and NVIDIA (NASDAQ: NVDA) today announced that Oracle is the first public cloud provider to support the NVIDIA HGX-2TM platform on Oracle Cloud Infrastructure, to meet ...
Containerd’s Important Role for Nvidia’s GPU Operator and AI Accelerated Cloud
Container packaging allows the developer to containerize their apps and toolkits and use the models that NVIDIA researchers and data scientists build and publish. It makes this entire ...
This Is the Only Artificial Intelligence Stock You Need
Why NVIDIA remains the most potent bet on AI.