Nvidia is a leading technology company that provides the hardware and software infrastructure for accelerated computing, AI, and a wide range of other applications, driving innovation across various industries. Whilst is which Nvidia is best known for its development of GPUs, which are specialized chips that excel at parallel processing, making them ideal for tasks like graphics rendering, AI training, and scientific computing.
The Network Defines the Data Center
AI data centers require accelerated network performance for retrieval-augmented generation (RAG), model training, and inferencing. NVIDIA networking ensures the highest efficiency and lowest latency data transfers necessary for today’s AI use cases.
Accelerated Ethernet Switching for AI and the Cloud
The NVIDIA Spectrum™ networking platform leads the industry in Ethernet performance, availability, and ease of use across a wide range of applications—including cloud computing, data storage, AI, and more.
InfiniBand for AI and Scientific Computing
The NVIDIA Quantum InfiniBand architecture gives AI developers and scientific researchers the fastest networking performance available to take on the world’s most challenging problems.
A New Class of Network Accelerators
The NVIDIA® BlueField® networking platform speeds up data center infrastructure workloads, transforming traditional computing environments into efficient, high-performance, secure, and sustainable data centers, from cloud to edge.
NVIDIA - Grace
Cloud and Data Center Solutions
Purpose-built to solve the world’s largest computing problems.
As models explode in complexity, accelerated computing, and energy efficiency are becoming critical to meet the demands of AI. The NVIDIA Grace™ CPU is a groundbreaking Arm® CPU with uncompromising performance and efficiency. It can be tightly coupled with a GPU to supercharge accelerated computing or deployed as a powerful, efficient standalone CPU. The NVIDIA Grace CPU is the foundation of next-generation data centers and can be used in diverse configurations for different data center needs.
NVIDIA - Grace GPU
Breakthrough CPU performance and efficiency for the modern data center.
NVIDIA Grace CPU Superchip
The Grace CPU Superchip is composed of two Grace CPUs connected coherently over NVIDIA NVLink-C2C at 900 GB/s. It packs 144 Arm Neoverse V2 cores into a single module, with server-class LPDDR5X memory that delivers up to 1 terabyte per second (TB/s) of memory bandwidth.
NVIDIA Grace CPU C1
The NVIDIA Grace CPU C1 is a single-socket, high-performance server platform that doesn’t compromise performance or bandwidth. It’s optimized for scalable and edge platforms, including hyperscale cloud, content delivery network (CDN), storage, telco, and other high-performance edge platforms.
NVIDIA - GPU
NVIDIA L4 Tensor Core GPU
Accelerate Workloads Efficiently and Sustainably
NVIDIA L4 is an integral part of the NVIDIA data center platform. Built for video, AI, NVIDIA RTX™ virtual workstation (vWS), graphics, simulation, data science, and data analytics, the platform accelerates over 3,000 applications and is available everywhere at scale, from data center to edge to cloud, delivering both dramatic performance gains and energy-efficiency opportunities.
NVIDIA L40S
Unparalleled AI and graphics performance for the data center.
Experience breakthrough multi-workload performance with the NVIDIA L40S GPU. Combining powerful AI compute with best-in-class graphics and media acceleration, the L40S GPU is built to power the next generation of data center workloads—from generative AI and large language model (LLM) inference and training to 3D graphics, rendering, and video.
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