With the increasing number of users, explosion of data rates, advent of virtualization, and cloud computing technologies, the computing burden on the data center is increasing. Enterprise data centers are at a tipping point—the legacy, hyper-converged data center is giving way to a modern, disaggregated IT infrastructure that is secure and accelerated. Today’s data center is increasingly software-defined for security, networking, storage, and management, and IT looks to accelerated comput...| NVIDIA
Cohere, IBM and Mistral AI deploy thousands of Blackwell GPUs in NVIDIA GB200 NVL72 rack-scale systems to train and run reasoning models and agentic AI.| NVIDIA Blog
Coming Soon, sign up to be notified when NVIDIA RTX PRO Servers are available from system partners.| NVIDIA
NVIDIA today announced that the NVIDIA RTX PRO™ 6000 Blackwell Server Edition GPU is coming to the world’s most popular enterprise servers, speeding the shift from traditional CPU systems to accelerated computing platforms.| NVIDIA Newsroom
Khazna Data Centers, a renowned provider of hyperscale digital infrastructure across the Gulf, has announced that it is collaborating with NVIDIA to build| W.Media
Powering a new era of computing, NVIDIA today announced that the NVIDIA Blackwell platform has arrived — enabling organizations everywhere to build and run real-time generative AI on trillion-parameter large language models at up to 25x less cost and energy consumption than its predecessor.| NVIDIA Newsroom
From gaming to AI, GPUs have revolutionized computing. Discover how these powerful processors work, their key applications such as HPC, IoT and edge computing, and the leading companies driving GPU innovation.| Network World
To get the most out of AI, optimizations are critical. When developers think about optimizing AI models for inference, model compression techniques—such as quantization, distillation…| NVIDIA Technical Blog
Software-Defined Expertise and Intelligence for AI Factories.| NVIDIA
Transform Into an AI Enterprise With Essential Infrastructure| NVIDIA
Operating system of the NVIDIA DGX data center| NVIDIA
4:2:2 hardware support, emerging generative AI video technology and dozens of AI-powered features accelerated by NVIDIA RTX and TensorRT enhance video editing workflows.| NVIDIA Blog
NVIDIA and its ecosystem partners are building AI factories at scale for the AI reasoning era — and every enterprise will need one.| NVIDIA Blog
Delayed insights mean missed opportunities. With a Pure Storage-powered NVIDIA AI Data Platform, organizations can turn huge volumes of data into real-time intelligence.| Pure Storage Blog
After the recent release of Pytorch 2.7, what is the current state of support for Blackwell GPUs in popular generative AI applications?| Puget Systems
Nvidia launches Project Digits, a $3,000 compact AI supercomputer designed for developers, researchers, and students, debuting in May 2025.| WinBuzzer
We are excited to announce the release of PyTorch® 2.7 (release notes)! This release features:| pytorch.org
NVIDIA today announced the next evolution of the NVIDIA Blackwell AI factory platform, NVIDIA Blackwell Ultra — paving the way for the age of AI reasoning.| NVIDIA Newsroom
Accelerated systems from certified partners delivering performance and scale.| NVIDIA
CES—NVIDIA today unveiled NVIDIA® Project DIGITS, a personal AI supercomputer that provides AI researchers, data scientists and students worldwide with access to the power of the NVIDIA Grace ...| NVIDIA Newsroom
What is the interest in trillion-parameter models? We know many of the use cases today and interest is growing due to the promise of an increased capacity for: The benefits are great…| NVIDIA Technical Blog
An end-to-end platform for autonomous vehicle development.| NVIDIA
Discover the powerful GB200 NVL72 GPU, engineered for AI workloads and next-gen data centers.| NVIDIA
Accelerate and deploy full-stack infrastructure purpose-built for high-performance data centers.| NVIDIA
Real-time ray tracing and rendering with the most advanced GPU architectures and compute languages.| NVIDIA
In short The generative AI market surpassed $25.6 billion in 2024, driven by rapid adoption and the increasing integration of AI capabilities across industries, according to the 263-page Generative AI Market Report 2025–2030 (published January 2025). The data center GPU market saw remarkable growth to $125 billion, with NVIDIA maintaining a dominant position, holding 92% of the market share. Microsoft and AWS lead the rapidly expanding foundation models and model management platforms marke...| IoT Analytics
Tensor Cores Features Multi-Precision Computing for Efficient AI inference.| NVIDIA
.jpg)
The Most Powerful End-to-End AI and HPC Data Center Platform.| NVIDIA
