NVIDIA

Founded April 5 1993 by Jensen Huang, Chris Malachowsky, and Curtis Priem at a Denny's diner in San Jose with $40K seed; original mission was 3D graphics for gaming. Decades later this GPU lineage would become the foundation of automotive AI compute via the DRIVE platform.

DRIVE platform launched at CES 2015. DRIVE PX (Tegra X1, Maxwell GPU) introduced as the first AI in-car computer for autonomous driving development; DRIVE CX positioned as a digital cockpit SoC. NVIDIA's first dedicated automotive product line.

DRIVE PX 2 announced at CES 2016: Pascal-architecture, 8 TFLOPS, dual Tegra X2 SoCs. Tesla immediately adopted PX 2 as the brain of HW2 (announced Oct 2016). Marked NVIDIA's transition from cockpit chip vendor to autonomous compute platform.

DRIVE Pegasus announced for Level 5 robotaxi development at CES: twin Xavier SoCs + dual NVIDIA GPUs delivering 320 TOPS. First chip explicitly designed for fully driverless operation.

DRIVE Orin announced with 254 TOPS: Mercedes-Benz, JLR, Volvo, BYD, NIO, XPeng, and Hyundai signed on. Became the dominant L2+/L3 chip platform for premium EVs through 2025.

BYD and Lucid Group named as DRIVE Orin customers at GTC: most consequential GTC for automotive partnerships; began shift away from Mobileye monoculture toward NVIDIA dual-supplier strategy among Chinese EV makers.

Atlan SoC cancelled at GTC; replaced with DRIVE Thor (Grace + Blackwell-derived GPU) targeting 2,000 TOPS. Single-chip SoC unifying ADAS, cockpit, infotainment compute: designed to win 2025-2027 design cycles.

DRIVE Thor expanded with Blackwell GPU at GTC; BYD, XPeng, Li Auto adoption confirmed: Chinese EV makers committed to Thor as the next-gen ADAS chip. Established NVIDIA as China's premium ADAS chip default.

JLR confirmed 2026 launch on DRIVE AGX Orin platform: 6-year multi-vehicle agreement covering Range Rover, Defender, Discovery. Strategic European OEM win.

DRIVE AGX Hyperion platform achieved ASIL-D safety certification and TUV cybersecurity certs: cleared major regulatory hurdle for L3 OEM deployments. Differentiator vs Qualcomm/Mobileye.

DRIVE Thor with Blackwell ships to first OEM customers (XPeng, Li Auto, BYD initial volumes). 2,000 TOPS centralized compute became China's premium-tier ADAS standard.

Founded April 5 by Jensen Huang (ex-LSI Logic, AMD), Chris Malachowsky (Sun) and Curtis Priem (IBM, Sun) at a Denny's in San Jose with $40K; named from Latin 'invidia', initial focus on PC graphics accelerators.

Released NV1, NVIDIA’s first chip on Sega Saturn-style quadrilateral rendering; commercial flop that nearly bankrupted the company before SGS-Thomson and Sega rescue funding.

Released RIVA 128, the company’s first commercially successful 3D graphics chip; sold 1M units in four months and saved NVIDIA from the brink of insolvency.

IPO on NASDAQ January 22 at $12/share, raising $42M; small offering reflected modest revenue (~$160M) but funded the Riva and TNT2 graphics generations.

Announced GeForce 256 August 31 and shipped October 11; coined the term 'GPU' (Graphics Processing Unit) by integrating hardware transform-and-lighting on a single chip with 23M transistors.

Acquired struggling rival 3dfx Interactive for $112M after the Voodoo card maker filed bankruptcy; NVIDIA absorbed engineering talent and IP that powered the GeForce3.

GeForce3 launched with first programmable vertex and pixel shaders, the foundational architecture for every modern GPU; Microsoft selected the chip for the original Xbox console.

Unveiled GeForce 8800 GTX (G80) with unified shaders and first CUDA-capable architecture; laid the groundwork for general-purpose GPU computing and modern AI training.

Released CUDA 1.0 SDK February 15 for Windows and Linux; opened the GPU as a programmable parallel processor and seeded the scientific-computing and deep-learning communities.

Launched Tesla brand for HPC GPUs (Tesla C870/C1060) priced at $1,500-$1,700; first credible move beyond gaming into the data-center compute market.

AlexNet won ImageNet using two NVIDIA GTX 580 GPUs, dropping image-classification error rates from 26% to 15%; the watershed moment validated GPUs as the substrate of modern deep learning.

Tesla K80 launched, GK210 Kepler-based dual-GPU accelerator targeting deep learning workloads; the chip became the workhorse of early academic and hyperscaler ML training.

Tesla P100 unveiled at GTC 2016, first Pascal data-center GPU with HBM2 memory and NVLink interconnect; targeted deep-learning training and HPC at $5,000+ per GPU.

DGX-1 announced at GTC 2016 as first purpose-built AI supercomputer-in-a-box; eight P100 GPUs at $129K, with first system hand-delivered by Jensen Huang to OpenAI.

Tesla V100 with Volta architecture announced at GTC, introducing Tensor Cores for AI acceleration at 125 TFLOPS FP16; powered the GPT-2/GPT-3 training era at OpenAI and Microsoft.

Announced $6.9B acquisition of Mellanox to bolster networking for data-center AI fabrics; preempted Intel and Microsoft bids and locked in InfiniBand for next-gen GPU clusters.

Closed $7B Mellanox acquisition after Chinese antitrust clearance, gaining InfiniBand and Ethernet IP that became the spine of every NVIDIA reference AI cluster from DGX-2 onward.

A100 launched at GTC 2020 on TSMC 7nm with 40GB HBM2e and 19.5 TFLOPS FP32; introduced multi-instance GPU (MIG) and became the dominant LLM training chip through 2022.

Announced $40B agreement to acquire Arm Holdings from SoftBank; the deal would have given NVIDIA control of the world's most-used CPU instruction set but drew immediate global regulatory scrutiny.

Abandoned $40B Arm acquisition due to FTC and global regulatory blockades; SoftBank kept the $1.25B prepayment and prepared Arm for its 2023 IPO.

Hopper H100 announced at GTC March 22: 80B transistors on TSMC 4N, 80GB HBM3 and Transformer Engine for FP8; became the de-facto LLM training chip and pushed lead times to 11+ months by mid-2023.

H100 entered full production with hyperscaler partner systems shipping in early Q4; Microsoft, AWS, Google and Oracle placed initial orders for 100K+ GPUs each.

US BIS export controls of October 7 banned A100/H100 sales to China; NVIDIA pivoted to A800/H800 China-specific SKUs with reduced interconnect bandwidth, preserving most China revenue.

OpenAI launched ChatGPT November 30, igniting a global AI compute demand surge that Jensen Huang called AI's 'iPhone moment'; data-center orders surged from <$4B/quarter to $14B+ within four quarters.

DGX H100 systems began shipping to enterprise customers, anchoring the first wave of post-ChatGPT AI buildouts; Microsoft Azure and Oracle Cloud took the first racks for OpenAI workloads.

Crossed $1T market cap on May 30 on a record AI revenue forecast (Q1 FY24 guide of $11B vs $7.2B consensus); joined Apple, Microsoft, Alphabet and Aramco in the trillion-dollar club.

October 17 BIS update banned A800/H800 China-specific chips and added performance-density rule covering future SKUs; NVIDIA began designing H20/L20 for the China market under the new caps.

H200 announced at SC23, first GPU with HBM3e memory at 141GB and 4.8 TB/s bandwidth; targeted Q2 2024 ship date and locked in SK Hynix as lead HBM3e supplier.

Surpassed $2T market cap intraday February 23, becoming the third US firm to close above the threshold; took just nine months from $1T to $2T, the fastest such doubling in market history.

Blackwell B200 and GB200 superchip unveiled at GTC March 18, 208B transistors with up to 20 PFLOPS FP4 per GPU; built on TSMC 4NP and used CoWoS-L packaging with 192GB HBM3e.

GB200 NVL72 announced at GTC, liquid-cooled rack of 36 Grace Blackwell superchips for trillion-parameter LLMs; 1.4 exaFLOPS FP4 compute per rack, priced at ~$3M each.

Surpassed $3T market cap June 5 and briefly became the world's most valuable company on June 18 at ~$3.34T, displacing Microsoft and Apple atop the global leaderboard.

GB200 NVL72 systems began shipping to AWS, Microsoft, Google and Oracle after multi-quarter ramp delays; CoWoS-L packaging yields finally crossed acceptable threshold in Q4.

Blackwell Ultra B300 unveiled at GTC March 18, 1.5x B200 performance with 288GB HBM3e and 15 PFLOPS dense FP4; targeted as bridge product before Rubin platform in 2026.

Took $5.5B Q1 charge on H20 China inventory after April BIS rule blocking last China-tailored Hopper SKU; Jensen Huang publicly criticized the rule as an own-goal helping Huawei.

Became first $4T public company on July 9, capping a 10x rally since ChatGPT launch; market cap doubled in 13 months from the $2T close in February 2024.

US Trump administration permitted resumed sales of H20 to China, reversing April ban after diplomatic deal; NVIDIA recovered partial inventory write-down via fresh shipments.

Crossed $5T market cap intraday October 29, the first company ever to reach that milestone; just 3.5 months after the $4T close, fastest such trillion-dollar leg in history.

Amazon EC2 P6-B300 instances with Blackwell Ultra became generally available, anchoring AWS AI fleet upgrades; instance prices started around $98/hour for 8x B300 nodes.

Began Rubin GPU production at TSMC on N3 node ahead of GTC 2026 mass announcement; SK Hynix HBM4 stacks shipped from September were paired in CoWoS-L packaging.

Vera Rubin platform announced at CES, Vera CPU + dual Rubin GPU in one package with NVLink 6 and ConnectX-9; positioned as full vertically-integrated AI factory replacement for Blackwell.

Vera Rubin entered full production at GTC April 2026; locked in 336B transistors, 50 PFLOPS per GPU and 288GB HBM4; AWS, Google, Microsoft and Oracle named as first cloud takers.

Project GR00T (Generalist Robot 00 Technology) announced at GTC 2024 keynote: Jensen Huang on stage with humanoids from Agility, Apptronik, Boston Dynamics, Figure, Sanctuary, Unitree, XPeng; framed as 'Android of robotics' foundation model

Jetson Thor robotics SoC unveiled at GTC: based on Blackwell GPU architecture, 800 TFLOPS (FP8) for transformer inference at the edge; designed as humanoid 'brain' compute module; production silicon targeted late 2025

Cosmos World Foundation Models announced at CES 2025 keynote: Jensen unveils synthetic-data generation engine for robotics + autonomous-driving training; positions Cosmos + GR00T + Isaac Sim as full simulation-to-deployment stack

Isaac Lab + Newton physics engine partnership announced with Disney Research + Google DeepMind: open differentiable physics simulator targeting humanoid sim-to-real transfer; Disney provides character-animation pedigree

GR00T N1 open foundation model + Cosmos-Reason world model released at GTC 2025 keynote: first openly-licensed humanoid VLA from NVIDIA; positions NVIDIA as platform-layer above all humanoid OEMs

GTC 2025 humanoid keynote: 14 GR00T partners on stage including Figure, Agility, 1X, Boston Dynamics, Apptronik, Sanctuary, Mentee, Galbot, XPeng, Unitree, AgiBot, Fourier; rare full-industry alignment under NVIDIA umbrella

Cosmos foundation models for physical AI generally available on NVIDIA GPU Cloud: Boston Dynamics, Figure, Agility, 1X, Apptronik adopt; NVIDIA solidifies role as horizontal AI infrastructure across the humanoid stack

Jetson Thor production silicon ships: integrated into Figure 03 and Apollo platforms; 800 TFLOPS at 80W; locks in NVIDIA as default humanoid compute brain across Western OEMs

GR00T N2 update + Cosmos-Reason world model released at GTC 2026: improved long-horizon task planning + multi-modal grounding; new physics simulation tools (Newton 2.0); 20+ humanoid OEMs now on GR00T platform