Nvidia Tesla

Short description: Nvidia's line of general purpose GPUs

Nvidia Tesla

Manufacturer| Nvidia
Introduced| May 2, 2007;
19 years ago (2007-05-02)
Discontinued| May 2020; 6 years ago (2020-05)
Type| General purpose graphics cards

Nvidia Tesla was the name of Nvidia's line of products targeted at stream processing or general-purpose graphics processing units (GPGPU), named after pioneering electrical engineer Nikola Tesla. Its products began using GPUs from the G80 series, and have continued to accompany the release of new chips. They are programmable using the CUDA or OpenCL APIs.

The Nvidia Tesla product line competed with AMD's Radeon Instinct and Intel Xeon Phi lines of deep learning and GPU cards.

Nvidia retired the Tesla brand in May 2020, reportedly because of potential confusion with the brand of cars.[1] Its new GPUs are branded Nvidia Data Center GPUs,[2] as in the Ampere A100 GPU.[3]

## Contents

* 1 Overview
* 2 Applications
* 3 Specifications
* 4 See also
* 5 References
* 6 External links

## Overview

Nvidia Tesla C2075

Offering computational power much greater than traditional microprocessors, the Tesla products targeted the high-performance computing market.[4] As of 2012[update], Nvidia Teslas power some of the world's fastest supercomputers, including Summit at Oak Ridge National Laboratory and Tianhe-1A, in Tianjin, China .

Tesla cards have four times the double precision performance of a Fermi-based Nvidia GeForce card of similar single precision performance.[citation needed] Unlike Nvidia's consumer GeForce cards and professional Nvidia Quadro cards, Tesla cards were originally unable to output images to a display. However, the last Tesla C-class products included one Dual-Link DVI port.[5]

As part of Project Denver, Nvidia intends to embed ARMv8 processor cores in its GPUs.[6] This will be a 64-bit follow-up to the 32-bit Tegra chips.

The Tesla P100 uses TSMC's 16 nanometer FinFET semiconductor manufacturing process, which is more advanced than the 28-nanometer process previously used by AMD and Nvidia GPUs between 2012 and 2016. The P100 also uses Samsung's HBM2 memory.[7]

## Applications

Tesla products are primarily used in simulations and in large-scale calculations (especially floating-point calculations), and for high-end image generation for professional and scientific fields.[8]

In 2013, the defense industry accounted for less than one-sixth of Tesla sales, but Sumit Gupta predicted increasing sales to the geospatial intelligence market.[9]

## Specifications

## See also

* List of Nvidia graphics processing units
* Nvidia Tesla Personal Supercomputer
* Ampere (microarchitecture)
* Fastra II

## References

1. ↑ Casas, Alex (2020-05-19). "NVIDIA Drops Tesla Brand To Avoid Confusion With Tesla" (in en-US). https://wccftech.com/nvidia-drops-tesla-brand-to-avoid-confusion-with-tesla/.
2. ↑ "NVIDIA Supercomputing Solutions". https://www.nvidia.com/en-us/data-center/data-center-gpus/.
3. ↑ "NVIDIA A100 GPUs Power the Modern Data Center" (in en-us). https://www.nvidia.com/en-us/data-center/a100/.
4. ↑ "High Performance Computing - Supercomputing with Tesla GPUs". http://www.nvidia.com/object/tesla-supercomputing-solutions.html.
5. ↑ "Professional Workstation Solutions". http://www.nvidia.com/object/personal-supercomputing.html.
6. ↑ "Nvidia to Integrate ARM Processors in Tesla.". 2012-11-01. http://www.tomshardware.com/news/nvidia-armv8-soc-gpu,18838.html.
7. ↑ Walton, Mark (6 April 2016). "Nvidia unveils first Pascal graphics card, the monstrous Tesla P100" (in en-us). Ars Technica. https://arstechnica.com/gadgets/2016/04/nvidia-tesla-p100-pascal-details/.
8. ↑ Tesla Technical Brief (PDF)
9. ↑ "Nvidia chases defense, intelligence ISVs with GPUs" (in en). https://www.theregister.com/2013/07/24/nvidia_geospatial_intelligence_gpu/.

## External links

* NVIDIA Data Center GPUs
* NVIDIA Product Overview and Technical Brief
* NVIDIA's Tesla homepage
* cpu under 100
* Nvidia Nsight

* v
* t
* e

Nvidia

GeForce (List of GPUs)

| Fixed pixel pipeline|

| Pre-GeForce|

* NV1
* NV2

* RIVA 128
* RIVA TNT
* TNT2

|

* GeForce 256
* 2
* 4 MX

Vertex and pixel shaders|

* GeForce 3
* 4 Ti
* FX
* 6
* 7

Unified shaders|

* GeForce 8
* 9
* 100
* 200
* 300
* 400
* 500

Unified shaders & NUMA|

* GeForce 600
* 700
* 800M
* 900
* 10
* 16

Ray tracing|

* GeForce 20

Software and technologies

| Multimedia
acceleration|

* NVENC (video encoding)
* PureVideo (video decoding)

|

Software|

* Cg (shading language)
* CUDA
* Gelato (offline renderer)
* Nvidia GameWorks
* OptiX (ray tracing API)
* PhysX (physics SDK)
* Nvidia RTX (ray tracing platform)
* Nvidia System Tools
* VDPAU (video decode API)

Technologies|

* Nvidia 3D Vision (stereo 3D)
* Nvidia G-Sync (variable refresh rate)
* Nvidia Optimus (GPU switching)
* Nvidia Surround (multi-monitor)
* NVLink (protocol)
* Scalable Link Interface (multi-GPU)
* TurboCache (framebuffer in system memory)

GPU microarchitectures|

* Tesla
* Fermi
* Kepler
* Maxwell
* Pascal
* Volta
* Turing
* Ampere
* Hopper

Other products

| Graphics processing|

* Nvidia Quadro
* Quadro Plex

|

GPGPU|

* Nvidia Tesla
* DGX

Console components|

* NV2A (Xbox)
* RSX 'Reality Synthesizer' (PlayStation 3)
* Tegra NX-SoC (Nintendo Switch)

Nvidia Shield|

* Shield Portable
* Shield Tablet
* Shield Android TV
* GeForce Now

SoCs and embedded|

* GoForce
* Drive
* Jetson
* Tegra

CPUs|

* Project Denver

Computer chipsets|

* nForce

Company

| Key people|

* Jen-Hsun Huang
* Chris Malachowsky
* Curtis Priem
* David Kirk
* Bill Dally
* Debora Shoquist
* Ranga Jayaraman
* Jonah M. Alben

|

Acquisitions|

* 3dfx Interactive
* Ageia
* ULi
* Icera
* Mental Images
* PortalPlayer
* Exluna
* MediaQ
* Stexar

* v
* t
* e

Graphics processing unit

GPU|

| Desktop|

* Intel
* GT
* Nvidia
* GeForce
* Quadro
* Tesla
* AMD
* Radeon
* Pro
* Instinct
* Matrox
* InfiniteReality
* µPD7220
* Voodoo

|

Mobile|

* Adreno
* Apple
* Mali
* PowerVR
* VideoCore

Architecture|

* Compute kernel
* Fabrication
* CMOS
* FinFET
* MOSFET
* Graphics pipeline
* Geometry
* Vertex
* HDR rendering
* MAC
* Rasterisation
* Shading
* Ray-tracing
* SIMD
* SIMT
* Tessellation
* T&L
* Tiled rendering
* Unified shader model

Components|

* Blitter
* Geometry processor
* Input–output memory management unit
* Render output unit
* Shader unit
* Stream processor
* Tensor unit
* Texture mapping unit
* Video display controller
* Video processing unit

Memory|

* DMA
* Framebuffer
* SGRAM
* GDDR
* GDDR3
* GDDR4
* GDDR5
* GDDR6
* HBM
* Memory bandwidth
* Memory controller
* Shared graphics memory
* Texture memory
* VRAM

Form factor|

* IP core
* Discrete graphics
* Clustering
* Switching
* External graphics
* Integrated graphics
* System on a chip

Performance|

* Clock rate
* Display resolution
* Fillrate
* Pixel/s
* Texel/s
* FLOP/s
* Frame rate
* Performance per watt
* Transistor count

Misc|

* 2D
* Scrolling
* Sprite
* Tile
* 3D
* GI
* Texture
* ASIC
* GPGPU
* Graphics library
* Hardware acceleration
* Image processing
* Compression
* Parallel computing
* Vector processor
* Video coding
* Codec
* VLIW

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