- NVIDIA Corporation is an American multinational technology company.
- It designs graphics processing units (GPUs), application programming interfaces (APIs) to utilize them.
- More than 40,000 companies use NVIDIA AI technologies.
NVIDIA Corporation (Nasdaq: NVDA, LSE: 0R1I) is an American multinational technology company based in Santa Clara, California. It designs graphics processing units (GPUs), application programming interfaces (APIs) to utilize them, as well as other system unit processors (SoCs) for the gaming and professional markets, as well as system on a chip units (SoCs) for the mobile computing and automotive market. NVIDIA is a leading innovator in the field of artificial intelligence (AI) and high-performance computing (HPC).
NVIDIA Announced A Generative AI Microservice
November 28, 2023; NVIDIA today announced a generative AI microservice that lets enterprises connect custom large language models to enterprise data to deliver highly accurate responses for their AI applications.
NVIDIA NeMo™ Retriever — a new offering in the NVIDIA NeMo family of frameworks and tools for building, customizing and deploying generative AI models — helps organizations enhance their generative AI applications with enterprise-grade retrieval-augmented generation (RAG) capabilities.
As a semantic-retrieval microservice, NeMo Retriever helps generative AI applications provide more accurate responses through NVIDIA-optimized algorithms. Developers using the microservice can connect their AI applications to business data wherever it resides across clouds and data centers. It adds NVIDIA-optimized RAG capabilities to AI foundries and is part of the NVIDIA AI Enterprise software platform, available in AWS Marketplace.
Cadence, Dropbox, SAP and ServiceNow are among the pioneers working with NVIDIA to build production-ready RAG capabilities into their custom generative AI applications and services.
Third Quarter Fiscal 2024 Results
November 21, 2023; NVIDIA reported revenue for the third quarter ended October 29, 2023, of $18.12 billion, up 206% from a year ago and up 34% from the previous quarter.
GAAP earnings per diluted share for the quarter were $3.71, up more than 12x from a year ago and up 50% from the previous quarter. Non-GAAP earnings per diluted share were $4.02, up nearly 6x from a year ago and up 49% from the previous quarter.
The Compute & Networking segment includes its Data Center accelerated computing platform; networking; automotive AI Cockpit, autonomous driving development agreements, and autonomous vehicle solutions; electric vehicle computing platforms; Jetson for robotics and other embedded platforms; NVIDIA AI Enterprise and other software; and cryptocurrency mining processors, or CMP.
The Graphics segment includes GeForce GPUs for gaming and PCs, the GeForce NOW game streaming service and related infrastructure, and solutions for gaming platforms; Quadro/NVIDIA RTX GPUs for enterprise workstation graphics; virtual GPU, or vGPU, software for cloud-based visual and virtual computing; automotive platforms for infotainment systems; and Omniverse Enterprise software for building and operating metaverse and 3D internet applications.
The company specialize in markets in which its computing platforms can provide tremendous acceleration for applications. These platforms incorporate processors, interconnects, software, algorithms, systems, and services to deliver unique value. The company's platforms address four large markets where its expertise is critical: Data Center, Gaming, Professional Visualization, and Automotive.
The NVIDIA computing platform is focused on accelerating the most compute-intensive workloads, such as AI, data analytics, graphics and scientific computing, across hyperscale, cloud, enterprise, public sector, and edge data centers. The platform consists of its energy efficient GPUs, data processing units, or DPUs, interconnects and systems, its CUDA programming model, and a growing body of software libraries, software development kits, or SDKs, application frameworks and services, which are either available as part of the platform or packaged and sold separately.
For both AI and HPC applications, the NVIDIA accelerated computing platform greatly increases computer and data center performance and power efficiency relative to conventional CPU-only approaches. In the field of AI, NVIDIA’s platform accelerates both deep learning and machine learning workloads. Deep learning is a computer science approach where neural networks are trained to recognize patterns from massive amounts of data in the form of images, sounds and text - in some instances better than humans - and in turn provide predictions in production use cases. Machine learning is a related approach that leverages algorithms as well as data to learn how to make determinations or predictions. HPC, which includes scientific computing, uses numerical computational approaches to solve large and complex problems.
Gaming is the largest entertainment industry, with PC gaming as the predominant platform. Many factors propel computer gaming’s growth, including new high production value games and franchises, the continued rise of competitive gaming or eSports, social connectivity and the increasing popularity of game streamers, modders, or gamers who create game modifications, and creators.
The company's gaming platforms leverage its GPUs and sophisticated software to enhance the gaming experience with smoother, higher quality graphics. The company developed NVIDIA RTX to bring next generation graphics and AI to games. NVIDIA RTX features ray tracing technology for real-time, cinematic-quality rendering. Ray tracing, which has long been used for special effects in the movie industry, is a computationally intensive technique that simulates the physical behavior of light to achieve greater realism in computer-generated scenes. NVIDIA RTX also features deep learning super sampling, or NVIDIA DLSS, its AI technology that boosts frame rates while generating beautiful, sharp images for games.
The company's products for the gaming market include GeForce RTX and GeForce GTX GPUs for gaming desktop and laptop PCs, GeForce NOW cloud gaming for playing PC games on underpowered devices, SHIELD for high quality streaming on TV, as well as system-on-chips (SOCs) and development services for game consoles.
In fiscal year 2023, the company introduced the GeForce RTX 40 Series of gaming GPUs, based on the Ada Lovelace architecture. The 40 Series features its third generation RTX technology, third generation NVIDIA DLSS, and fourth generation Tensor Cores to deliver up to 4X the performance of the previous generation.
The company serve the Professional Visualization market by working closely with independent software vendors, or ISVs, to optimize their offerings for NVIDIA GPUs. The company's GPU computing platform enhances productivity and introduces new capabilities for critical workflows in many fields, such as design and manufacturing and digital content creation. Design and manufacturing encompass computer-aided design, architectural design, consumer-products manufacturing, medical instrumentation, and aerospace. Digital content creation includes professional video editing and post-production, special effects for films, and broadcast-television graphics.
NVIDIA’s Automotive market is comprised of AV, AI cockpit, electric vehicle computing platforms, and infotainment platform solutions. Leveraging its technology leadership in AI and building on its long-standing automotive relationships, NVIDIA is delivering a complete end-to-end solution for the AV market under the DRIVE Hyperion brand. NVIDIA has demonstrated multiple applications of AI within the car: AI can drive the car itself as a pilot in fully autonomous mode or it can also be a co-pilot, assisting the human driver while creating a safer driving experience.
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