
NVIDIA
Corporate brand
UnclaimedA global technology company specializing in graphics processors, accelerated computing, artificial intelligence infrastructure and related software.
Last updated October 18, 2026
Overview
NVIDIA is an American fabless semiconductor and computing-platform company headquartered in Santa Clara, California. It designs graphics processing units, central processing units, systems-on-chip, networking processors, application programming interfaces and complete computing systems for gaming, professional visualization, data science, high-performance computing, artificial intelligence, robotics, automotive applications and edge computing. Founded on April 5, 1993, by Jensen Huang, Chris Malachowsky and Curtis Priem, the company initially pursued specialized three-dimensional graphics processing for personal computers. Its early strategy treated video games as a demanding commercial application capable of funding advanced graphics research. The first product, NV1, struggled because its quadrilateral-based design did not align with Microsoft DirectX's adoption of triangle primitives, but NVIDIA recovered through subsequent graphics architectures and the GeForce product family. NVIDIA popularized the term GPU in 1999 with the GeForce 256, which integrated transformation and lighting functions into consumer graphics hardware. The company later expanded through contracts and partnerships involving Microsoft Xbox, Sony PlayStation 3 and other platforms. Acquisitions including 3dfx's intellectual property, MediaQ, Ageia and related technology broadened its graphics, mobile and physics capabilities. A decisive strategic change came with CUDA, introduced in 2006. CUDA allowed developers to use NVIDIA GPUs for general-purpose parallel computing rather than limiting them to graphics. This investment created a software and developer ecosystem that later became central to scientific computing, machine learning and generative AI. The 2012 AlexNet result, in which a deep-learning system was trained using NVIDIA GPUs, helped demonstrate the value of GPU acceleration for modern neural networks. NVIDIA subsequently repositioned itself as a full-stack accelerated-computing company. Its portfolio now spans GeForce consumer GPUs, RTX professional graphics, data-center accelerators, Grace CPUs, DGX systems, networking products from the Mellanox acquisition, Jetson edge-computing modules, CUDA libraries, AI Enterprise software, NIM inference software and Omniverse simulation tools. The company also develops platforms for autonomous vehicles, industrial digital twins, robotics and scientific research. The 2020 acquisition of Mellanox strengthened NVIDIA's position in high-performance networking and interconnects, allowing it to offer more integrated data-center architectures. The proposed 2020 acquisition of Arm was abandoned after competition concerns in the United Kingdom and elsewhere. NVIDIA's Blackwell platform, announced in 2024, combined new GPUs with networking, interconnect and software components for large-scale AI training and inference. Blackwell subsequently reached consumer PCs through the GeForce RTX 50 series. NVIDIA's competitive position rests not only on silicon performance but also on CUDA compatibility, libraries, developer tools, networking, systems integration and relationships with cloud providers, enterprises and AI laboratories.
History
NVIDIA was established on April 5, 1993, by Jensen Huang, Chris Malachowsky and Curtis Priem. The founders believed that specialized three-dimensional graphics processing could address computational problems that general-purpose processors handled inefficiently, while video games could provide a large commercial market. The company began in Silicon Valley with a small amount of founder capital and later obtained venture funding. Its first graphics product, NV1, used quadrilateral primitives and failed to achieve broad market traction after Microsoft DirectX standardized on triangles. NVIDIA survived the setback by developing new architectures and concentrating on compatible, high-performance 3D graphics. The company became a major supplier to the PC graphics market and secured important console-related work, including graphics technology for Microsoft's Xbox and Sony's PlayStation 3. In 1999, NVIDIA introduced the GeForce 256 and marketed it as a graphics processing unit. The product integrated transformation and lighting functions, helping establish the GPU as a distinct form of programmable computing hardware. NVIDIA went public in January 1999 and expanded through technology acquisitions. Its purchase of 3dfx's intellectual property in the early 2000s strengthened its graphics capabilities, while later acquisitions added mobile, physics and display technologies. NVIDIA's most consequential long-term investment was CUDA, announced in 2006. CUDA supplied a programming model, compiler support, libraries and development tools that enabled GPUs to run general-purpose parallel workloads. Although the initial commercial identity remained strongly associated with gaming, CUDA created foundations for scientific computing and machine learning. The 2012 AlexNet breakthrough demonstrated that NVIDIA GPUs could accelerate deep neural-network training and became a major turning point in the company's business strategy. During the 2010s, NVIDIA expanded into professional visualization, supercomputing, automotive computing, robotics and embedded systems. Jetson addressed edge AI and robotics, while the company developed data-center accelerators, DGX systems and software for enterprise and research users. NVIDIA also promoted Omniverse for three-dimensional collaboration, simulation and digital-twin applications. The acquisition of Mellanox, announced in 2019 and completed in 2020, added InfiniBand, Ethernet and other high-speed networking technologies. This supported NVIDIA's transition from a component supplier to an integrated data-center platform company. NVIDIA announced a proposed acquisition of Arm from SoftBank in 2020, but the deal encountered competition concerns and was not completed. The generative-AI expansion of the 2020s made NVIDIA's data-center GPUs, networking products and software central to many AI infrastructure deployments. The Hopper generation included the H100 and H200 accelerators. In 2024, NVIDIA announced Blackwell, a platform combining GPU, interconnect, networking and software capabilities for large-model training and inference. Blackwell was later extended to consumer PCs through GeForce RTX 50 products. NVIDIA continues to develop accelerated-computing platforms for cloud providers, enterprises, laboratories, supercomputers, vehicles, robots and other physical-AI applications.
- 2025
GeForce RTX 50 series announced
[7]NVIDIA brought its Blackwell graphics architecture to consumer desktop and mobile GPUs.
- 2024
Blackwell platform announced
[4]NVIDIA announced a new platform for generative-AI training, inference and large-scale accelerated computing.
- 2020
Mellanox acquisition completed
[3]NVIDIA added high-speed networking and interconnect capabilities to its data-center portfolio.
- 2016
DGX-1 introduced
- 2012
AlexNet demonstrates GPU-accelerated deep learning
[2]The use of NVIDIA GPUs to train AlexNet helped establish GPU acceleration as an important approach in deep learning.
- 2006
CUDA unveiled
[2]CUDA opened NVIDIA GPU hardware to general-purpose parallel programming and created a foundation for later AI workloads.
- 2006
CUDA introduced
- 1999
GPU concept introduced
[2]NVIDIA introduced the GeForce 256 and promoted the GPU as a distinct graphics-processing category.
- 1999
GeForce brand introduced
- 1993
NVIDIA founded
[2]Jensen Huang, Chris Malachowsky and Curtis Priem established NVIDIA to develop advanced 3D graphics technology.
Products and positioning
A full-stack provider of accelerated computing and AI infrastructure, combining proprietary processors, high-speed networking, integrated systems and a large software ecosystem.
consumer graphics · 1999
GeForce
NVIDIA's consumer graphics family serves PC gaming, creative applications and general-purpose personal-computer graphics. GeForce RTX products add dedicated ray-tracing hardware and AI-assisted rendering features such as DLSS. The line is sold through board partners and integrated into desktop and notebook systems. Consumer GPU and graphics-card brand used primarily for PC gaming and graphics workloads.
software platform · 2006
CUDA
CUDA is NVIDIA's programming platform and software ecosystem for running general-purpose parallel workloads on GPUs. It includes programming interfaces, compilers, libraries, profilers and developer tools used in scientific computing, machine learning, data analytics and enterprise applications. NVIDIA's parallel-computing software and development platform for programming GPUs.
data-center GPU architecture · 2022
NVIDIA Hopper
Hopper is a data-center GPU architecture designed for AI training, inference and high-performance computing. Products such as the H100 and H200 pair high-throughput tensor processing with high-bandwidth memory and system-level interconnect technologies.
AI computing platform · 2024
NVIDIA Blackwell
Blackwell is a platform for large-scale AI computing that combines GPUs, high-speed GPU-to-GPU communication, networking and software. It is designed for training and inference of large models and is offered through data-center systems, cloud instances and consumer GeForce products.
AI systems · 2016
DGX
DGX comprises integrated NVIDIA AI servers and supercomputing systems for enterprises, research organizations and AI development teams. The systems combine NVIDIA accelerators, networking and software so customers can deploy training and inference infrastructure without assembling every component independently.
edge AI platform · 2014
Jetson
Jetson is an embedded computing platform for robotics, autonomous machines, smart cameras and other edge-AI devices. Its modules combine energy-efficient processors with GPU acceleration and developer software for computer vision, sensor processing and machine-learning inference.
simulation and collaboration software · 2022
Omniverse
Omniverse is NVIDIA's platform for 3D collaboration, simulation and digital-twin workflows. It targets industrial design, engineering, content creation and physical-AI development through connections between supported software tools and physically based simulation technologies.
NVIDIA RTX
GPU platform and product family for real-time graphics, rendering, and professional visualization.
NVIDIA DGX
Integrated systems designed for AI and accelerated-computing workloads.
NVIDIA DRIVE
Automotive computing platform for in-vehicle computing and the development of driver-assistance and autonomous-driving capabilities.
Controversies
2026
Nvidia commits $1 billion to scientific advancement including 'super intelligence' research
According to The Verge, Nvidia declared it would commit $1 billion to scientific advancement, an amount that included 'super intelligence research,' adopting the terminology of President Trump's push to rebrand AI. The report presents the commitment as part of Nvidia's alignment with the Trump administration.
2026
NVIDIA CEO Jensen Huang denies circular financing concerns over OpenAI deal
In August 2026, NVIDIA CEO Jensen Huang addressed investor concerns that the OpenAI PORTS-Pike deal structure involves circular financing. In a post on X on August 17, 2026, Huang stated that OpenAI will pay rent, and that NVIDIA locks in key inputs when it has visibility into customer demand. The statement was a response to questions raised by investors about the transaction's structure.
2024
Antitrust scrutiny in the United States and Europe
Authorities and media reports described scrutiny of NVIDIA's competitive practices in AI chips, including possible concerns involving market power, product integration and software dependence. The consequences depend on subsequent regulatory proceedings.
2024
Chinese antitrust investigation
China's market regulator announced an investigation into alleged antimonopoly-law violations and NVIDIA's commitments related to the Mellanox transaction.
2022
Cryptomining disclosure settlement
The SEC said NVIDIA did not adequately disclose the extent to which cryptomining contributed to demand for gaming GPUs and related revenue growth. The company neither admitted nor denied the findings and agreed to pay a civil penalty.
2019
Rockstar responds to Red Dead Redemption 2 PC launch issues
After players experienced game-breaking bugs in Red Dead Redemption 2 on PC, Rockstar apologized, released fixes for many issues, and said it was working with Nvidia on a future update to address stuttering. Rockstar also offered players free Red Dead Online items.
2019
Rockstar rolls out fixes for Red Dead Redemption 2 PC issues
Rockstar Games said it was rolling out an update to address stuttering and other issues affecting Red Dead Redemption 2 players on PC. The company stated that it was continuing to work with Nvidia on a complete resolution to the stuttering issue. The announcement concerned the PC version of the game and the reported performance problems experienced by players.
2019
Rockstar apologizes for Red Dead Redemption 2 PC problems
Rockstar apologized to players for technical problems affecting Red Dead Redemption 2 on PC, including ongoing stuttering for some players. The studio said it was rolling out an update to help address the issue and was working with Nvidia on a fuller fix.
Marketing campaigns
- 2025GTC 2025
United States · Global
NVIDIA used its annual GPU Technology Conference as a major developer, enterprise and media platform to present Blackwell systems, AI software, robotics and physical-AI initiatives.
Outcome. The event reinforced NVIDIA's positioning as an end-to-end AI infrastructure and developer-platform company.
- 2019Minecraft RTX
United States · Global
NVIDIA promoted an official ray-tracing update for Minecraft to demonstrate real-time lighting, reflections and shadows on GeForce RTX hardware.
Outcome. The initiative helped explain consumer applications for hardware-accelerated ray tracing.
Brand decisions
2025
Extend Blackwell to GeForce RTX 50Generation changeBackground
NVIDIA sought to transfer Blackwell's AI and graphics capabilities from data-center products to consumer PCs.
Action taken
The company announced GeForce RTX 50-series desktop and notebook GPUs featuring Blackwell-based graphics and AI-rendering technologies.
Aftermath
The launch extended NVIDIA's AI-assisted rendering strategy across gaming, creative and developer markets.
- AMD — AMD continued competing through Radeon graphics products and FSR software.
2024
Launch the Blackwell platformProduct launchBackground
Generative AI increased demand for more efficient training and inference at data-center scale.
Action taken
NVIDIA introduced Blackwell GPUs together with NVLink, networking and software components for large-model computing.
Aftermath
Cloud providers, system manufacturers and enterprise infrastructure operators incorporated Blackwell into announced products and services.
- AMD — AMD continued positioning Instinct accelerators and ROCm software as competing data-center AI solutions.
2020
Acquire Mellanox TechnologiesM&ABackground
AI and high-performance computing increasingly required close coordination among processors, memory, networking and system interconnects.
Action taken
NVIDIA completed its acquisition of Mellanox, adding InfiniBand, Ethernet and high-speed data-center networking capabilities.
Aftermath
The transaction helped NVIDIA offer more complete accelerated-computing systems rather than only standalone processors.
Recent events
- 2025
NVIDIA announces GeForce RTX 50 series[7]
Product launch · Product generation
The Blackwell architecture was extended to consumer graphics products for gaming, content creation and development.
- 2024
NVIDIA announces the Blackwell platform[4]
Product launch · Product generation
NVIDIA introduced a new computing platform for large-scale generative-AI training and inference.
- 2024
NVIDIA announces Blackwell platform for generative AI[17]
Product launch · Product generation
NVIDIA introduced its Blackwell GPU platform as a successor to Hopper, targeting large-scale generative AI training and inference through new processors, systems, networking, and software.
- 2022
NVIDIA and Arm acquisition is abandoned[18]
M&A · Regulation
NVIDIA and SoftBank ended the proposed acquisition of Arm after the transaction faced regulatory scrutiny in the United States, United Kingdom, and European Union.
- 2022
US export controls affect advanced computing products[19]
Regulation · Other
US export-control rules restricted the shipment of certain advanced computing products to China and led NVIDIA to develop or modify products to address regulatory requirements.
- 2020
NVIDIA completes acquisition of Mellanox[3]
M&A
The transaction expanded NVIDIA's data-center portfolio into high-performance networking and interconnect technology.
Sources149 sources
- 1Nvidiaen.wikipedia.org
- 2NVIDIA corporate timelinenvidia.com
- 3NVIDIA completes acquisition of Mellanoxnvidianews.nvidia.com
- 4NVIDIA Blackwell platformnvidianews.nvidia.com
- 5SEC charges NVIDIA with inadequate disclosure of cryptomining impactsec.gov
- 6NVIDIA — About Usnvidia.com
- 7GeForce RTX 50 series announcednvidianews.nvidia.com
- 8GTC 2025nvidianews.nvidia.com
- 9Minecraft RTXnvidia.com
- 10Antitrust scrutiny in the United States and Europefinance.yahoo.com
- 11Chinese antitrust investigationm.investing.com
- 12Nvidia commits $1 billion to scientific advancement including 'super intelligence' researchtheverge.com
- 13NVIDIA CEO Jensen Huang denies circular financing concerns over OpenAI dealbnext.com.tw
- 14Rockstar responds to Red Dead Redemption 2 PC launch issuesengadget.com
- 15Rockstar rolls out fixes for Red Dead Redemption 2 PC issuesafterdawn.com
- 16Rockstar apologizes for Red Dead Redemption 2 PC problemstheverge.com
- 17NVIDIA announces Blackwell platform for generative AInvidianews.nvidia.com
- 18NVIDIA and Arm acquisition is abandonednvidianews.nvidia.com
- 19US export controls affect advanced computing productssec.gov
- 20《科技》NVIDIA推出Jetson Xavier NX,全球最小邊緣AI超級電腦 - 財經chinatimes.com
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- 47英伟达发布1200亿参数大模型Nemotron 3.5 Super VL:单GPU智能体任务吞吐量最高提升5倍163.com
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- 51英伟达公布Q2财报:总营收962.21亿美元,同比增长106%163.com
- 52英伟达瞄准入门级物理AI 发布新一代“机器人大脑” | 文学城wenxuecity.com
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- 61Aetina Launches Palm-Sized In-Vehicle Edge AI Systems with 4x GMSL2 for Demanding Mobilityeejournal.com
- 62Antrique Holdings Pte. Ltd.: Antrique Unveils AI Innovation Platform to Advance AI Capability in Bruneifinanznachrichten.de
- 63Cerebras stock hits post-IPO low, tumbling 20% for the week on Nvidia pressure and lockup expirationcnbc.com
- 64Firebird launches CIS’s largest AI factory in Armenia - Shafaqna English | International Shia News & Fatwasen.shafaqna.com
- 65Firebird launches regional NVIDIA DSX AI factory - Engineering.comengineering.com
- 66Google Launches SynthID Detector Worldwide So Anyone Can Check if Photos, Videos and Audio Were Made by AIibtimes.com.au
- 67Google, Nvidia, and Anthropic want Emerald AI to find space on the grid for more data centerstechcrunch.com
- 68Gruve Launches PulseAI Platform, Delivering Full-Stack Private AI for the Enterprisewebwire.com
- 69Honeywell launches Forge Cognition AI platform for building managementtrend.az
- 70HP Partners with NVIDIA to Enhance AI Security Frameworksmallbiztrends.com
- 71I watched Nvidia's Jensen Huang work the room in London. He brought big checks — and a blunt messagecnbc.com
- 72Jensen Huang explains why Nvidia will grow an astounding 70% next yeartechcrunch.com
- 73Jensen Huang says Nvidia will sell twice as many chips next yearcnbc.com
- 74LG unveils ultra-light Aerominum gram laptops with AIchannellife.com.au
- 75LG Upgrades Its 2019 OLED TVs With Nvidia G-Syncpcmag.com
- 76LG电子携手英伟达布局新一代人形机器人,2027年推出双足机型,GR00T生态加速向终端硬件渗透finance.sina.com.cn
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- 78LG扩大与英伟达机器人等业务合作,明年第一季度发布新一代人形机器人163.com
- 79LG与英伟达签署协议:2027年推出搭载英伟达芯片的人形机器人163.com
- 80LTX 推出 LTX-2.5diy.zol.com.cn
- 81Master Group's Indus Cloud Launches Pakistan's First Cisco AI GPU Cluster Powered by NVIDIA H200 GPUspropakistani.pk
- 82Meta数周内推出Hatch AI智能体,Watermelon模型10月亮相chinaz.com
- 83Microchip推出第二代PolarFire FPGA以太网传感器桥接平台,升级边缘AI传感器连接方案finance.sina.com.cn
- 84Microsoft Announces RTX Spark-Powered Surface Laptop Ultra, Starting At $2,599 And Shipping On October 16wccftech.com
- 85Microsoft Launches NVIDIA AI PCs With Surface Laptop Ultra and RTX Spark in Revamped Windows 11itechpost.com
- 86Microsoft pushes AI vision with new, expensive Surface laptopstraitstimes.com
- 87Microsoft releases new Nvidia-chip AI PCs with revamped Windows 11techcrunch.com
- 88Microsoft Surface Laptop Ultra and Surface RTX Spark Dev Box announcedfonearena.com
- 89Microsoft to sell $2,599 Surface Laptop Ultra containing Nvidia AI chipcnbc.com
- 90Microsoft unveils AI-powered Surface laptop with Nvidia chipsbruneinews.net
- 91Microsoft unveils Surface Laptop Ultra with Nvidia RTX Spark for on-device AI · Diggdigg.com
- 92Microsoft, Nvidia CEOs to unveil new AI laptop at San Francisco event - Reutersnews.google.com
- 93Nous Research confirms it hit $1.5B valuation, launches AI agents for business users | TechCrunchtechcrunch.com
- 94NVIDIA (NVDA) Expands AI Leadership with SchedMD Acquisition and Open-Source Focusfinance.yahoo.com
- 95NVIDIA 和思科推出全新可插拔光模块规格,助力规模化扩展 AI 工厂cbinews.com
- 96NVIDIA 宣布推出 Jetson Orin Nano 2 機器人電腦,重新定義入門級邊緣 AIithome.com.tw
- 97NVIDIA Announces a $150 Billion Share Repurchase Authorization Increase - nvidianews.nvidia.comnews.google.com
- 98Nvidia announces Q3 financial results | bit-tech.netbit-tech.net
- 99NVIDIA CEO宣布推出Aerialfinance.sina.com.cn
- 100Nvidia debuts supercomputing platform to deliver AI at the network edge - SiliconANGLEsiliconangle.com
- 101Nvidia in talks to invest further in Reflection AI or buy it, FT reports - Reutersnews.google.com
- 102NVIDIA introduces Nemotron 3.5 Lightning 30B open AI model and NeMo Switchyard for agentic AIfonearena.com
- 103Nvidia launches $500 billion AI financing push with Wall Streetbignewsnetwork.com
- 104Nvidia launches £210 GTX 1660 Super with 14Gbps GDDR6 | bit-tech.netbit-tech.net
- 105Nvidia launches 30B open-weight AI model for agentic tasksbusiness-standard.com
- 106Nvidia launches Alpamayo, open AI models that allow autonomous vehicles to 'think like a human' | TechCrunchtechcrunch.com
- 107Nvidia launches lightweight OpenAI model for autonomous agentsaa.com.tr
- 108NVIDIA launches Linux GeForce NOW app with cloud tweaksitbrief.co.nz
- 109Nvidia launches new platform for reining in rogue AI agentstechcrunch.com
- 110NVIDIA Launches Tesla V100s GPU AI Accelerator With Faster Clocks And 32GB HBM2hothardware.com
- 111NVIDIA launches the GTX 1660 SUPER, available today starting $229gsmarena.com
- 112NVIDIA officially launches GTX 1660 SUPER & GTX 1650 SUPER - KitGurukitguru.net
- 113NVIDIA Partners With Global Telecoms For GeForce NOW Expansionandroidheadlines.com
- 114Nvidia Partners With Israel-Based Blue White Robotics on Autonomous Vehicle Testingalgemeiner.com
- 115Nvidia quietly unveils faster, lower power Tesla GPU acceleratornetworkworld.com
- 116Nvidia releases AI safety software it says could have stopped Hugging Face hack - Reutersnews.google.com
- 117Nvidia releases software platform to stop AI agents from misbehavingcnbc.com
- 118Nvidia rolls out faster DLSS 5 model ahead of RTX Spark launch - KitGurukitguru.net
- 119NVIDIA Rolls Out New Generation Of SHIELD TV Streaming Serviceworthplaying.com
- 120NVIDIA RTX Spark Launches Friday: 74-Billion-Parameter AI Fits in 24GB Laptoptechtimes.com
- 121NVIDIA RTX Spark PCs Available Today — A New Beginning for Windows PCs - NVIDIA Investor Relationsnews.google.com
- 122Nvidia to provide up to $105 billion guarantee for OpenAI's Ohio data centertelecom.economictimes.indiatimes.com
- 123Nvidia Unveils $21B Stake in SpaceX, Details Plans on Massive AI Investmentsitechpost.com
- 124Nvidia Unveils Geforce GTX 1660 Super and 1650 Super With 20% Higher Performancepropakistani.pk
- 125Nvidia unveils Jetson Orin Nano 2 for edge AI robots and dronesdigitimes.com
- 126Nvidia Unveils New Open-Source AI Model. CEO Jensen Huang Says Free AI Means More Chip Demand.ibtimes.com
- 127Nvidia unveils new Super variants for GTX 1660 and GTX 1650 graphics cardstheverge.com
- 128Nvidia unveils RTX Broadcast Engine SDKs | bit-tech.netbit-tech.net
- 129Nvidia’s $160 GeForce GTX 1650 Super launches with GDDR6 and little fanfarepcworld.com
- 130Nvidia’s $500 billion plan envelops Wall Street in its AI frenzytelecom.economictimes.indiatimes.com
- 131Nvidia's record buyback shows chipmaker's stock is too cheap for CEO Huang to resistcnbc.com
- 132Nvidia发布Azure云超级计算机、Magnum IO和Arm服务器架构参考平台server.zhiding.cn
- 133NVIDIA将在2020年上半年发布新显卡 代号“安培”nb.zol.com.cn
- 134Nvidia首次发布在网络边缘交付AI的超级计算平台server.zhiding.cn
- 135NVIDIA推出RTX Broadcast Engine技術 GeForce RTX系列顯示卡可在直播中達成去背效果 (148452) - Cool3ccool3c.com
- 136Perplexity 攜手輝達推出 Portable Computer,AI 代理全程在地端執行cdn.technews.tw
- 137Perplexity AI launches Portable Computer on-device AI agent - SiliconANGLEsiliconangle.com
- 138Perplexity Launches Local AI Model That Will Run on Your GPU Instead of the Cloudgizmodo.com
- 139Perplexity推出Portable Computer!綁定輝達硬體,跑地端任務免燒Tokenbnext.com.tw
- 140Ramp launches Router.com to route AI model trafficitbrief.co.nz
- 141Razorpay Introduces AI Payments Foundation Model With Amazon Web Services (AWS) | Crowdfund Insidercrowdfundinsider.com
- 142Robot data startup Mecka AI nabs $60M from Sequoiatechcrunch.com
- 143Rockstar apologizes for Red Dead Redemption 2’s PC problems, promises fixespolygon.com
- 144SpaceX’s plans to buy more Nvidia GPUs is keeping Jim Cramer bullish on the chip stockcnbc.com
- 145The first Nvidia RTX Spark laptops cost up to $7,000theverge.com
- 146Three takeaways from Trump's 'Super Intelligence' summitbbc.co.uk
- 147Trump unveils $6 billion US science pushianslive.in
- 148Trump Unveils $6B Science Push With Quantum Computing, AIcointelegraph.com
- 149Would you buy branded clothing from your favourite tech firm?bbc.co.uk
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