NVIDIA completes 29 years: A lookback
Jensen Huang, Chris Malachowsky and Curtis Priem founded NVIDIA on April 5, 1993. On the 29th anniversary of the chip giant, we look at the technological breakthroughs and watershed moments that made NVIDIA one of the most valuable companies in the world. NVIDIA NV1 (1995) In 1994, the company partnered with SGS-Thomson Microelectronics to manufacture the single-chip graphical-user interface accelerator. NVIDIA NV1, manufactured by SGS-Thomson Microelectronics under the model name STG2000, was released in November 1995. The multimedia PCI card came with a 2D/3D graphics core based on quadratic texture mapping, VRAM or FPM DRAM memory, along with an integrated 32-channel 350 MIPS playback-only sound card, and a Sega Saturn compatible joypad port. GeForce 256; IPO (1999) GeForce 256 was the world’s first GPU with a 256-bit 3D processor, integrated geometry transform engine, and integrated dynamic lighting engine. It supports up to 128MB of frame buffer memory and a 350MHz RAMDAC to drive extreme resolutions up to 2048 x 1536 @ 75Mhz. The company also went public in January 1999, with its shares priced at USD 19.69 each. Acquires Media Q (2003) In 2003, NVIDIA acquired chip maker MediaQ Inc. for USD 70 million in cash. MediaQ is a provider of graphics and multimedia technology for wireless mobile devices. CUDA (2007) Compute Unified Device Architecture (CUDA) is a parallel computing platform and programming model developed by NVIDIA for general computing on GPUs. The CUDA Toolkit includes GPU-accelerated libraries, a compiler, development tools and the CUDA runtime. CUDA allows developers to write programs in languages such as C, C++, Fortran, Python and MATLAB, and express parallelism through extensions in the form of a few basic keywords. NVIDIA DRIVE (2015) Introduced at the Consumer Electronics Show in January 2015, NVIDIA DRIVE uses deep learning for autonomous car and driver assistance functionality. NVIDIA calls DRIVE “a family of products for autonomous vehicle development that covers everything from the car to the data centre.” DRIVE Hyperion is the in-car solution, a vehicle architecture comprising sensors, DRIVE AGX for compute, and software tools for self-driving and intelligent cockpit capabilities. Mellanox acquisition, Omniverse, Arm fiasco (2020) NVIDIA acquired Mellanox Technologies, Ltd., for USD 7 billion. Mellanox Technologies was an  Israeli-American  fabless semiconductor company that dealt in designing, manufacturing, and selling interconnect products and solutions. In late 2020, NVIDIA announced an open beta for Omniverse. Omniverse is a scalable, multi-GPU real-time reference development platform for 3D simulation. It is based on Pixar’s Universal Scene Description and NVIDIA RTX technology.  The Omniverse Avatar will help developers generate, animate, simulate, and render state-of-the-art interactive avatars, said CEO Jensen Huang at GTC 2021. Omniverse Cloud was announced at GTC 2022. It is a suite of cloud services to provide artists, creators, designers and developers instant access to the NVIDIA Omniverse platform for 3D design collaboration and simulation from billions of devices. In late 2020, NVIDIA announced the plans to acquire Arm Ltd. from SoftBank for USD 40 billion in stock and cash. In February 2022, the chip giant dropped the plan in the face of regulatory rigmarole. Hopper architecture (2022) In GTC 2022, NVIDIA announced the Hopper GPU microarchitecture and H100 GPU as the successor of the NVIDIA Ampere architecture. NVIDIA H100 comes with 80 billion transistors with features such as Transformer Engine and an NVIDIA NVLink. The architecture is ideal for working on large AI language models, recommender systems, and digital twins. It will be available globally in the latter part of this year from cloud service providers as well as NVIDIA. NVIDIA H100 can be deployed across data centre types such as on-premises, cloud, hybrid-cloud and edge.
GeForce 256 was the world’s first GPU.
NVIDIA completes 29 years: A lookback
["Semiconductor India"]
["CUDA", "AI", "IPO", "Scala", "Git", "Python", "C++", "deep learning", "Semiconductor India", "R"]
["AI", "deep learning", "CUDA", "Python", "R", "Scala", "C++", "CUDA", "Git", "IPO"]
I am a technology journalist at AIM. What gets me excited is deep-diving into new-age technologies and analysing how they impact us for the greater good.

Reach me at sreejani.bhattacharyya@analyticsindiamag.com