Top 10 News of Nvidia in 2023

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By AIT Staff Writer On Jan 1, 2024

In the heart of the tech revolution, Nvidia shines as a beacon of innovation in 2023, unveiling a host of news stories that redefine the landscape of graphics processing and artificial intelligence. Nvidia, a powerhouse in the world of GPUs and AI computing, kicks off the year 2023 with a series of groundbreaking announcements, signaling its continued dominance in the forefront of cutting-edge technologies.

As the demand for high-performance computing grows, Nvidia’s top 10 news stories for 2023 showcase the company’s relentless pursuit of excellence, from the latest GPU architectures to breakthroughs in AI research. Stepping into the future, Nvidia’s 2023 narrative unfolds with a tale of technological leaps, strategic partnerships, and advancements that solidify its position as a driving force in the realms of gaming, data centers, and artificial intelligence.

From revolutionary graphics cards to breakthroughs in quantum computing, Nvidia’s journey in 2023 is a story of constant innovation, shaping industries and pushing the boundaries of what’s possible in the world of computing.

Top 10 News of Nvidia in 2023

NVIDIA Isaac Sim And AWS

With the upcoming arrival of NVIDIA Isaac Sim and NVIDIA L40S GPUs to Amazon Web Services, programmers will be able to create and launch cloud-based apps for accelerated robotics. Developed on the NVIDIA Omniverse platform for creating and linking OpenUSD applications, Isaac Sim is an extendable simulator for AI-enabled robotics. The L40S GPU is designed to handle the upcoming wave of data center workloads with its advanced AI computing, graphics, and media acceleration capabilities.

Among the AWS early users of the Isaac Sim platform are Theory Studios, Amazon Robotics, and Soft Robotics. Applications of artificial intelligence (AI) in robotics are trained and tested using robotics simulation. Virtual advancements are reaching new heights thanks to simulations powered by synthetic data. Before operation, simulations may be used to check, validate, and optimize robot designs, systems, and algorithms. In addition to minimizing expensive production change orders, it may improve facility designs before construction or modification to achieve optimal efficiency.

Read: Top 10 News of Red Hat in 2023

NVIDIA Brings Business Intelligence to Chatbots, Copilots and Summarization Tools With Enterprise-Grade Generative AI Microservice

Bluenote Raises $10Million from Lux Capital & Elad Gil to Transform Life Sciences Workflows with AI

Dec 20, 2024

Dynamic Infrastructure Introduces Groundbreaking AI Capability to Predict Future Deterioration in Civil Infrastructure

Dec 20, 2024

Strategies For Managing the Risks and Rewards of GenAI in Coding

Dec 20, 2024

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AWS re:Invent NVIDIA 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.

“Generative AI applications with RAG capabilities are the next killer app of the enterprise,” said Jensen Huang, founder and CEO of NVIDIA. “With NVIDIA NeMo Retriever, developers can create customized generative AI chatbots, copilots and summarization tools that can access their business data to transform productivity with accurate and valuable generative AI intelligence.”

Lenovo and NVIDIA Announce Hybrid AI Solutions to Help Enterprises Quickly Adopt GenAI

Lenovo and NVIDIA announced an expansion of their partnership with new, hybrid solutions and engineering collaboration that supports their shared vision to bring the power of generative AI to every enterprise

In close collaboration with NVIDIA, Lenovo will deliver fully integrated systems that bring AI-powered computing to everywhere data is created, from the edge to the cloud, helping businesses easily deploy tailored generative AI applications to drive innovation and transformation across any industry.

“With generative AI driving the greatest technology transformation of our time, enterprises are seeking solutions that give them the flexibility to develop and deploy workloads across their workstations, data centers and clouds,” said Bob Pette, Vice President of Enterprise Platforms at NVIDIA. “NVIDIA and Lenovo are providing a comprehensive portfolio of hybrid AI systems that businesses can rely on to power generative AI from virtually anywhere.”

NVIDIA Redefines Workstations to Power New Era of AI, Design, Industrial Metaverse

NVIDIA announced six new NVIDIA RTX Ada Lovelace architecture GPUs for laptops and desktops, which enable creators, engineers and data scientists to meet the demands of the new era of AI, design and the metaverse.

Using the new NVIDIA RTX GPUs with NVIDIA Omniverse, a platform for building and operating metaverse applications, designers can simulate a concept before making it a reality, planners can visualize an entire factory before it is built and engineers can evaluate their designs in real time.

The NVIDIA RTX 5000, RTX 4000, RTX 3500, RTX 3000 and RTX 2000 Ada Generation laptop GPUs deliver breakthrough performance and up to 2x the efficiency of the previous generation to tackle the most demanding workflows. For the desktop, the NVIDIA RTX 4000 Small Form Factor (SFF) Ada Generation GPU features new RT Cores, Tensor Cores and CUDAcores with 20GB of graphics memory to deliver incredible performance in a compact card.

Google Cloud and NVIDIA Expand Partnership to Advance AI Computing, Software and Services

NVIDIA Generative AI Technology Used by Google DeepMind and Google Research Teams Now Optimized and Available to Google Cloud Customers Worldwide

Google Cloud and NVIDIA announced new AI infrastructure and software for customers to build and deploy massive models for generative AI and speed data science workloads.

In a fireside chat at Google Cloud Next, Google Cloud CEO Thomas Kurian and NVIDIA founder and CEO Jensen Huang discussed how the partnership is bringing end-to-end machine learning services to some of the largest AI customers in the world — including by making it easy to run AI supercomputers with Google Cloud offerings built on NVIDIA technologies. The new hardware and software integrations utilize the same NVIDIA technologies employed over the past two years by Google DeepMind and Google research teams.

Google’s framework for building massive large language models (LLMs), PaxML, is now optimized for NVIDIA accelerated computing.

Read: Top 10 News of AWS in 2023

GEDiCube Joins NVIDIA Inception to Advance Unique Platform for Early Cancer Detection in Clinical Trials

Builds on vision to combine techniques for boosting the body’s natural tumour-fighting mechanisms with AI/machine learning technology

GEDiCube, an AI/ML platform that combines differential molecular capabilities with multi-omic analysis to detect cancer early, to join NVIDIA Inception
Initial focus is on pancreatic cancer: upcoming clinical trials will be an innovative multi-modal approach to building a predictive model

GEDiCube announced that it is joining NVIDIA Inception, a program which nurtures start-ups by providing access to cutting-edge technology, technical resources, and venture capitalists.

The company intends to deploy GEDiCube’s multi-omic platform powered by NVIDIA accelerated infrastructure leveraging the Medical Imaging Open Network for Artificial Intelligence (MONAI), creating the potential to revolutionise the early detection of pancreatic cancer. This multi-modal approach will be used for the first time in an upcoming clinical trial, where MONAI will be used to detect and build a predictive model based on tumour size combined with the multi-omic platform based on tumour type.

Edge Impulse Launches Integration with NVIDIA TAO Toolkit to Supercharge Edge AI

Developers and enterprises can optimize performance and accelerate time to market of edge AI applications with NVIDIA TAO on Edge Impulse

Edge Impulse, a leading platform for building, refining and deploying machine learning models and algorithms to edge devices, announced that it has integrated the new NVIDIA TAO Toolkit 5.0 into its edge AI platform.

“This collaboration is a significant boon to our customers, who will now have access to state-of-the-art machine learning research and model architectures from NVIDIA,” said Jan Jongboom, co-founder and CTO of Edge Impulse. “TAO users will also get Edge Impulse’s complete integrated development environment to collect new data, train and validate models, and deploy to any device under the sun – from the smallest microcontrollers to the latest GPUs and neural accelerators – while being fully compatible with your existing TAO training pipelines; and without having to provision your own hardware.”

Twitter Influencers Expect NVIDIA Enduring Dominance in AI Industry, Reveals GlobalData

NVIDIA Corp has become the first chipmaker to ever reach a staggering $1 trillion market capitalization, driven by the soaring demand for artificial intelligence (AI) chips. The company’s stock price experienced a surge of over 25% in a single day on 25 May, and this upward momentum continues unabated. As its remarkable earnings results continue to captivate the business world, NVIDIA’s triumph has reverberated across social media platforms. Numerous industry experts expect the company to likely dominate the AI industry, reveals the Social Media Analytics Platform of GlobalData, a leading data and analytics company.

Against this backdrop, social media discussions on Twitter related to NVIDIA surged 140% in the last week of May over the previous week. While some influencers consider the valuation as overpriced, others believe that the company’s exceptional growth prospects justify its current valuation.

“Furthermore, NVIDIA’s strategic plans to maintain its leading position in generative AI continue to experience explosive growth further solidify its advantage. Only a handful of experts acknowledge the potential threat of competition from smaller players, further underscoring NVIDIA’s dominant position in the AI landscape.”

NVIDIA Launches Accelerated Ethernet Platform for Hyperscale Generative AI

NVIDIA announced NVIDIA Spectrum-X, an accelerated networking platform designed to improve the performance and efficiency of Ethernet-based AI clouds.
NVIDIA Spectrum-X is built on networking innovations powered by the tight coupling of the NVIDIA Spectrum-4 Ethernet switch with the NVIDIA BlueField-3 DPU, achieving 1.7x better overall AI performance and power efficiency, along with consistent, predictable performance in multi-tenant environments. Spectrum-X is supercharged by NVIDIA acceleration software and software development kits (SDKs), allowing developers to build software-defined, cloud-native AI applications.

NVIDIA ACE for Games Sparks Life Into Virtual Characters With Generative AI

NVIDIA announced NVIDIA Avatar Cloud Engine (ACE) for Games, a custom AI model foundry service that transforms games by bringing intelligence to non-playable characters (NPCs) through AI-powered natural language interactions.

Developers of middleware, tools and games can use ACE for Games to build and deploy customized speech, conversation and animation AI models in their software and games.

“Generative AI has the potential to revolutionize the interactivity players can have with game characters and dramatically increase immersion in games,” said John Spitzer, vice president of developer and performance technology at NVIDIA. “Building on our expertise in AI and decades of experience working with game developers, NVIDIA is spearheading the use of generative AI in games.”

Read:Top 10 News of Google in 2023

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