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NVIDIA Tegra T20 (Tegra 2) and T30 (Tegra 3) chips

Tegra is a system on a chip (SoC) series developed by Nvidia for mobile devices such as smartphones, personal digital assistants, and mobile Internet devices. The Tegra integrates an ARM architecture central processing unit (CPU), graphics processing unit (GPU), northbridge, southbridge, and memory controller onto one package. Early Tegra SoCs are designed as efficient multimedia processors, while more recent models emphasize gaming performance without sacrificing power efficiency.[citation needed]

History

The Tegra APX 2500 was announced on February 12, 2008. The Tegra 6xx product line was revealed on June 2, 2008,[1] and the APX 2600 was announced in February 2009. The APX chips were designed for smartphones, while the Tegra 600 and 650 chips were intended for smartbooks and mobile Internet devices (MID).[2]

The first product to use the Tegra was Microsoft's Zune HD media player in September 2009, followed by the Samsung M1.[3] Microsoft's KIN was the first cellular phone to use the Tegra;[4] however, the phone did not have an app store, so the Tegra's power did not provide much advantage. In September 2008, Nvidia and Opera Software announced that they would produce a version of the Opera 9.5 browser optimised for the Tegra on Windows Mobile and Windows CE.[5][6] At Mobile World Congress 2009, Nvidia introduced its port of Google's Android to the Tegra.

On January 7, 2010, Nvidia officially announced and demonstrated its next generation Tegra system-on-a-chip, the Nvidia Tegra 250, at Consumer Electronics Show 2010.[7] Nvidia primarily supports Android on Tegra 2, but booting other ARM-supporting operating systems is possible on devices where the bootloader is accessible. Tegra 2 support for the Ubuntu GNU/Linux distribution was also announced on the Nvidia developer forum.[8]

Nvidia announced the first quad-core SoC at the February 2011 Mobile World Congress event in Barcelona. Though the chip was codenamed Kal-El, it is now branded as Tegra 3. Early benchmark results show impressive gains over Tegra 2,[9][10] and the chip was used in many of the tablets released in the second half of 2011.

In January 2012, Nvidia announced that Audi had selected the Tegra 3 processor for its in-vehicle infotainment systems and digital instruments display.[11] The processor will be integrated into Audi's entire line of vehicles worldwide, beginning in 2013. The process is ISO 26262-certified.[12]

In summer of 2012 Tesla Motors began shipping the Model S all electric, high performance sedan, which contains two NVIDIA Tegra 3D Visual Computing Modules (VCM). One VCM powers the 17-inch touchscreen infotainment system, and one drives the 12.3-inch all digital instrument cluster."[13]

In March 2015, Nvidia announced the Tegra X1, the first SoC to have a graphics performance of 1 teraflop. At the announcement event, Nvidia showed off Epic Games' Unreal Engine 4 "Elemental" demo, running on a Tegra X1.

On October 20, 2016, Nvidia announced that Nintendo's upcoming Switch hybrid home/portable game console will be powered by Tegra hardware.[14]

On March 15, 2017, TechInsights revealed the Nintendo Switch is powered by the Tegra X1 (model T210).[15]

Specifications

Tegra APX

Tegra APX 2500
Tegra APX 2600
  • Enhanced NAND flash
  • Video codecs:[16]
    • 720p H.264 Baseline Profile encode or decode
    • 720p VC-1/WMV9 Advanced Profile decode
    • D-1 MPEG-4 Simple Profile encode or decode

Tegra 6xx

Tegra 600
  • Targeted for GPS segment and automotive
  • Processor: ARM11 700 MHz MPCore
  • Memory: low-power DDR (DDR-333, 166 MHz)
  • SXGA, HDMI, USB, stereo jack
  • HD camera 720p
Tegra 650
  • Targeted for GTX of handheld and notebook
  • Processor: ARM11 800 MHz MPCore
  • Low power DDR (DDR-400, 200 MHz)
  • Less than 1 watt envelope
  • HD image processing for advanced digital still camera and HD camcorder functions
  • Display supports 1080p at 24 frame/s, HDMI v1.3, WSXGA+ LCD and CRT, and NTSC/PAL TV output
  • Direct support for Wi-Fi, disk drives, keyboard, mouse, and other peripherals
  • A complete board support package (BSP) to enable fast time to market for Windows Mobile-based designs

Tegra 2

nvidia Tegra 2 T20

The second generation Tegra SoC has a dual-core ARM Cortex-A9 CPU, an ultra low power (ULP) GeForce GPU,[17] a 32-bit memory controller with either LPDDR2-600 or DDR2-667 memory, a 32KB/32KB L1 cache per core and a shared 1MB L2 cache.[18] Tegra 2's Cortex A9 implementation does not include ARM's SIMD extension, NEON. There is a version of the Tegra 2 SoC supporting 3D displays; this SoC uses a higher clocked CPU and GPU.

The Tegra 2 video decoder is largely unchanged from the original Tegra and has limited support for HD formats.[19] The lack of support for high-profile H.264 is particularly troublesome when using online video streaming services.

Common features:

  • CPU cache: L1: 32 KB instruction + 32 KB data, L2: 1 MB
  • 40 nm semiconductor technology
Model
number 		CPU GPU Memory Adoption
Processor Cores Frequency Micro-
architecture 		Core
configuration1 		Frequency Type Amount Bus
width 		Band-
width 		Availability
AP20H (Ventana/Unknown) Cortex-A9 2 1.0 GHz VLIW-based
VEC4 units[20]		 4:4:?:? 300 MHz LPDDR2 300 MHz
DDR2 333 MHz		 ? 32 bit
single-channel		 2.4 GB/s
2.7 GB/s 		Q1 2010
T20 (Harmony/Ventana) 333 MHz
AP25 1.2 GHz 400 MHz Q1 2011
T25

Devices

Model Devices
AP20H Motorola Atrix 4G, Motorola Droid X2, Motorola Photon, LG Optimus 2X / LG Optimus Dual P990 / Optimus 2x SU660 (?), Samsung Galaxy R, Samsung Captivate Glide,
ZTE Mimosa X, Micromax Superfone A85, T-Mobile G2X P999, Acer Iconia Tab A200 and A500, LG Optimus Pad, Motorola Xoom,[21] Sony Tablet S, Dell Streak 7,
Dell Streak Pro,[22] Asus Slider, Toshiba Thrive[23] tablet, T-Mobile G-Slate
T20 Avionic Design Tamonten Processor Board,[24] Exper EasyPad, Notion Ink Adam tablet, Olivetti OliPad 100, Point of View Mobii 10.1, ViewSonic G Tablet, ViewSonic ViewPad 10s,
ASUS Eee Pad Transformer, Samsung Galaxy Tab 10.1, Toshiba AC100, Toshiba Folio 100, Advent Vega, Hannspree Hannspad, Aigo n700, CompuLab Trim-Slice nettop,
E-Noa Interpad, Malata Tablet Zpad, MSI 10-inch (250 mm) tablet, Toradex Colibri T20, Lenovo IdeaPad Tablet K1, Lenovo ThinkPad Tablet, Velocity Micro Cruz Tablet L510,
Zyrex Onepad SP1110, Zyrex Onepad SP1113G, Acer Iconia Tab A100
AP25 Fusion Garage Grid 10[citation needed]

Tegra 3

The Ouya uses a Tegra 3 T33-P-A3

The Tegra 3 (codenamed "Kal-El")[25] is functionally a SoC with a quad-core ARM Cortex-A9 MPCore CPU, but includes a fifth "companion" core in what Nvidia refers to as a "variable SMP architecture".[26] While all cores are Cortex-A9s, the companion core is manufactured with a low-power silicon process. This core operates transparently to applications and is used to reduce power consumption when processing load is minimal. The main quad-core portion of the CPU powers off in these situations.

Tegra 3 is the first Tegra release to support ARM's SIMD extension, NEON.

The GPU in Tegra 3 is an evolution of the Tegra 2 GPU, with 4 additional pixel shader units and higher clock frequency. It can also output video up to 2560×1600 resolution and supports 1080p MPEG-4 AVC/h.264 40 Mbit/s High-Profile, VC1-AP, and simpler forms of MPEG-4 such as DivX and Xvid.[27]

The Tegra 3 was released on November 9, 2011.[28]

Common features:

  • CPU cache: L1: 32 KB instruction + 32 KB data, L2: 1 MB
  • 40 nm LPG semiconductor technology by TSMC
Model
number 		CPU GPU Memory Adoption
Processor Cores Frequency
(multi- / single-core mode) 		Micro-
architecture 		Core
configuration1 		Frequency Type Amount Bus
width 		Band-
width 		Availability
T30L Cortex-A9 4+1 1.2 GHz / up to 1.3 GHz VLIW-based
VEC4 units[20]		 8:4:?:? 416 MHz DDR3-1333 ? 32 bit
single-channel		 5.3 GB/s[29] Q1 2012
T30 1.4 GHz / up to 1.5 GHz 520 MHz LPDDR2-1066
DDR3-L-1500		 ? 4.3 GB/s
6.0 GB/s[30] 		Q4 2011
AP33
T33 1.6 GHz / up to 1.7 GHz[29] DDR3-1600 ? 6.4 GB/s[29] Q2 2012

Devices

Model Devices
T30L Asus Transformer Pad TF300T, ASUS MeMO Pad Smart ME301T, Microsoft Surface, Nexus 7 (2012 version),[31] Sony Xperia Tablet S, Acer Iconia Tab A210,
WEXLER.TAB 7t, Lenovo IdeaTab A2109, Toshiba AT300 (Excite 10),[32] Toshiba AT10-A (Excite Pure), BLU Quattro 4.5,[33] BLU Quattro 4.5 HD[34] HP Slate 7 Plus
T30 Asus Eee Pad Transformer Prime,[35] IdeaTab K2 / LePad K2,[36] Acer Iconia Tab A510, Acer Iconia Tab A700, ZTE Era, ZTE PF 100, ZTE T98, Toshiba AT270,
Asus VivoTab RT, Fuhu Inc. nabi 2 Tablet,[37] Tesla Model S, Kungfu K3,[38] Goophone I5, Olivetti Olipad 3,[39] Microsoft Surface,[40] Lenovo IdeaPad Yoga 11[41][42],
Toradex Colibri T30, Toradex Apalis T30, Nvidia Cardhu developer tablet, Realpad Bunaken (RL-P700-QC)
AP33 LG Optimus 4X HD, Fujitsu Arrows X F-10D, HTC One X, XOLO Play T1000,[43]
T33 Asus Transformer Pad Infinity (TF700T), Fujitsu ARROWS X F-02E, Ouya, HTC One X+, Fujitsu Arrows Tab F-05E

Tegra 4

The Tegra 4 (codenamed "Wayne") was announced on January 6, 2013 and is a SoC with a quad-core CPU, but includes a fifth low-power Cortex A15 companion core which is invisible to the OS and performs background tasks to save power. This power-saving configuration is referred to as "variable SMP architecture" and operates like the similar configuration in Tegra 3.[44]

The GeForce GPU in Tegra 4 is again an evolution of its predecessors. However, numerous feature additions and efficiency improvements were implemented. The number of processing resources was dramatically increased, and clock rate increased as well. In 3D tests, the Tegra 4 GPU is typically several times faster than that of Tegra 3.[45] Additionally, the Tegra 4 video processor has full support for hardware decoding and encoding of WebM video (up to 1080p 60Mbit/s @ 60fps).[46]

Along with Tegra 4, Nvidia also introduced i500, an optional software modem based on Nvidia's acquisition of Icera, which can be reprogrammed to support new network standards. It supports category 3 (100Mbit/s) LTE but will later be updated to Category 4 (150Mbit/s).

Common features:

  • CPU cache: L1: 32 KB instruction + 32 KB data, L2: 2 MB
  • 28 nm HPL semiconductor technology
Model
number 		CPU GPU Memory Adoption
Processor Cores Frequency Microarchitecture Core
configuration1 		Frequency Type Amount Bus
width 		Band-
width 		Availability
T114[47] Cortex-A15 4+1 up to 1.9 GHz VLIW-based VEC4 units[48] 72 (48:24:4)[20][48] 672 MHz[49] DDR3L or LPDDR3 ? 32 bit dual-channel up to 14.9 GB/s (1866 MT/s data rate)[50][51] Q2 2013[52]

1 Pixel shaders : Vertex shaders : Pixel pipelines

Devices

Model Devices
T114 Nvidia Shield Portable, Tegra Note 7, Microsoft Surface 2, HP Slate 7 Extreme,[53] HP Slate 7 Beats Special Edition,[54] HP Slate 8 Pro,[55] HP SlateBook x2,[56] HP SlateBook 14,[57] HP Slate 21,[58] ZTE N988S, nabi Big Tab, Nuvola NP-1, Project Mojo, Asus Transformer Pad TF701T, Toshiba AT10-LE-A (Excite Pro), Vizio 10" tablet, Wexler.Terra 7, Wexler.Terra 10, Acer TA272HUL AIO, Xiaomi Phone 3,[59] Coolpad 大观 4,[60] Audi Tablet,[61] Le Pan TC1020 10.1",[62] Matrimax iPLAY 7[63], Kobo Arc 10HD[64]

Tegra 4i

The Tegra 4i (codenamed "Grey") was announced on February 19, 2013. With hardware support for the same audio and video formats,[46] but using Cortex-A9 cores instead of Cortex-A15, the Tegra 4i is a low-power variant of the Tegra 4 and is designed for phones and tablets. Unlike its Tegra 4 counterpart, the Tegra 4i also integrates the Icera i500 LTE/HSPA+ baseband processor onto the same die.

Common features:

  • 28 nm HPM semiconductor technology
  • CPU cache: L1: 32 KB instruction + 32 KB data, L2: 1 MB
Model
number 		CPU GPU Memory Adoption
Processor Cores Frequency Microarchitecture Core
configuration1 		Frequency Type Amount Bus
width 		Band-
width 		Availability
T148?[65] Cortex-A9 "R4" 4+1 up to 2.0 GHz VLIW-based VEC4 units[48] 60 (48:12:2)[48] 660 MHz[49] LPDDR3 32 bit single-channel 6.4–7.5 GB/s (800–933 MHz)[51] Q1 2014

1 Pixel shaders : Vertex shaders : Pixel pipelines

Devices

Model Devices
T148? Blackphone, LG G2 mini LTE, Wiko Highway 4G,[66] Explay 4Game,[67] Wiko Wax[68][69] QMobile Noir LT-250[70]

Tegra K1

Nvidia’s Tegra K1 (codenamed "Logan") features ARM Cortex-A15 cores in a 4+1 configuration similar to Tegra 4, or Nvidia's 64-bit Project Denver dual-core processor as well as a Kepler graphics processing unit with support for Direct3D 12, OpenGL ES 3.1, CUDA 6.5, OpenGL 4.4/OpenGL 4.5, and Vulkan.[71][72] Nvidia claims that it outperforms both the Xbox 360 and the PS3, whilst consuming significantly less power.[73]

Support Adaptive Scalable Texture Compression.[74]

In late April 2014, Nvidia shipped the "Jetson TK1" development board containing a Tegra K1 SoC and running Ubuntu Linux.[75]

Model
number 		CPU GPU Memory Adoption
Processor Cores Frequency Micro-
architecture 		Core
configuration1 		Frequency GFLOPS
(FP32) 		Type Amount Bus
width 		Band-
width 		Availability
T124[78] Cortex-A15 R3
(32-bit) 		4+1 up to 2.3 GHz[79] GK20A
(Kepler) 		192:8:4[80] 756-951 MHz 290–365 DDR3L
LPDDR3[80] 		max 8 GB
with 40-bit address extension2 		64 bit 17 GB/s[80] Q2 2014
T132 Denver
(64-bit) 		2[80] up to 2.5 GHz[79] max 8 GB ? ? Q3 2014

1 Unified Shaders : Texture mapping units : Render output units

2 ARM Large Physical Page Extension (LPAE) supports 1 TiB (240 bytes). The 8 GiB limitation is part-specific.

Devices

Model Devices
T124 Jetson TK1 development board,[81] Nvidia Shield Tablet,[82] Acer Chromebook 13,[83] Lenovo ThinkVision 28, Xiaomi MiPad,[84] Snail Games
OBox, UTStarcom MC8718, Google Project Tango tablet,[85] Apalis TK1 System on Module,[86] Fuze Tomahawk F1,[87] JXD Singularity S192[88]
T132 HTC Nexus 9[89][90]

Tegra X1

Nvidia's Tegra X1 (codenamed "Erista") features four ARM Cortex-A57 cores and four ARM Cortex-A53 cores, as well as a Maxwell-based graphics processing unit.[91][92] It supports Adaptive Scalable Texture Compression.[74] Contrary to initial belief, Nvidia does not use the eight cores in ARM big.LITTLE configuration. Instead devices utilizing the Tegra X1 always show themselves as having only four ARM Cortex-A57 cores available. The other four ARM Cortex-A53 cores can not be accessed by the operating system and are used automatically in very low power scenarios determined by the CPU itself.[93][94]

  • CPU: ARMv8 ARM Cortex-A57 quad-core + ARM Cortex-A53 quad-core (64-bit)
  • GPU: Maxwell-based 256 core GPU
  • MPEG-4 HEVC & VP9 encoding/decoding support[95]
  • TSMC 20 nm process
  • TDP 15 watts,[96] with average power consumption less than 10 watts[95]
Model
number 		CPU GPU Memory Adoption
Processor Cores Frequency Micro-
architecture 		Core
configuration1 		Frequency GFLOPS
(FP32) 		GFLOPS
(FP16) 		Type Amount Bus
width 		Band-
width 		Availability
T210 Cortex-A57 +
Cortex-A53 		4 + 4 A57: 1.9 GHz
A53: 1.3 GHz 		GM20B
(Maxwell) 		256:16:16 1000 MHz 512 1024 LPDDR4 3 GB 64 bit 25.6 GB/s Q2 2015
NX-SoC (T210)
[15][97] 		A57: 1.02 GHz
A53: 1.02 GHz 		Docked 768 MHz[98] 393 786 4 GB Q1 2017
Undocked 307.2–384 MHz[98] 157–196 314–392

Devices

Model Devices
T210 Nvidia Shield Android TV, Nvidia Jetson TX1 development board,[99] Nvidia Drive CX & PX, Google Pixel C, Nintendo Switch[100][15]

Tegra X2

Nvidia's Tegra X2[101] (codenamed "Parker") features Nvidia’s own custom general-purpose ARMv8-compatible core Denver 2 as well as code-named Pascal graphics processing core with GPGPU support.[102] The chips are made using FinFET process technology using TSMC's 16 nm FinFET+ manufacturing process.[103][104][105]

  • CPU: Nvidia Denver2 ARMv8 (64-bit) dual-core + ARMv8 ARM Cortex-A57 quad-core (64-bit)
  • RAM: up to 16GB LPDDR4
  • GPU: Pascal-based, 256 CUDA cores
  • TSMC 16 nm FinFET process
  • TDP: 7.5-15W[106]
Model
number 		CPU GPU Memory Adoption
Processor Cores Frequency Micro-
architecture 		Core
configuration1 		Frequency GFLOPS Type Amount Bus
width 		Band-
width 		Availability
T186 Denver2 +
Cortex-A57 		2 + 4 Denver2: 1.4–2.0 GHz
A57: 1.2–2.0 GHz 		GP10B (Pascal)[107] 256:?:? 854–1465 MHz 437–750 (FP32)
874–1500 (FP16) 		LPDDR4 8 GB 128 bit 58.4 GB/s

Devices

Model Devices
T186 Nvidia Drive PX2 (variants)
Nvidia Jetson TX2[106]

Xavier

The most recent Tegra SoC, named Xavier after the comics character Professor X, was announced on 28 September 2016. It is to contain 7 billion transistors and 8 custom ARMv8 cores, a Volta GPU with 512 CUDA cores and is to be made on TSMC 16 nm FinFET+ process. It is able to encode and decode 8K Ultra HD (7680x4320). Nvidia aims for a 20-30 watt TDP and the die size is estimated to be about 300mm2.[108][109][110]

  • CPU: Nvidia custom ARMv8 (64-bit), 8 cores
  • GPU: Volta-based, 512 CUDA cores
  • TSMC 16 nm FinFET process
  • 20 TOPS DL and 160 SPECint @ 20 W;[108] 30 TOPS DL @ 30 W[110] (TOPS DL = Deep Learning Tera-Ops)
Model
number 		CPU GPU Memory Adoption
Processor Cores Frequency Micro-
architecture 		Core
configuration1 		Frequency GFLOPS Type Amount Bus
width 		Band-
width 		Availability
8 ? (Volta) 512:?:?

Devices

Model Devices
Un­known Xavier AI Car Supercomputer
Un­known Bosch and Nvidia designed Self Driving System[111]

Comparison

Series/
Generation 		Tegra 2 Tegra 3 Tegra 4 Tegra K1 Tegra X1 Tegra X2 Xavier
Model/Device all all all T124 T132 T210 NX-SoC (T210)[15] all ?
CPU Instruction set ARMv7 ARMv8
Cores 2 A9 4+1 A9 4+1 A15 4+1 A15 2 Denver 4 A53 + 4 A57 2 Denver2 + 4 A57 8 customized
L1 Cache (I / D) 32 / 32 KB 128 / 64 KB 32 / 32 KB + 64 / 32 KB 128 / 64 KB + 48 / 32 KB ?
L2 Cache 1MB 2MB 128KB + 2MB 2MB + 2MB ?
GPU Architecture Vec4 Kepler Maxwell Pascal Volta
CUDA Cores 4+4* 8+4* 48+24* 192 256 512
RAM Protocol DDR2 DDR3
(+DDR2) 		DDR3 LPDDR4 ?
Max. size 1GB 2GB 4GB 8GB 16GB ?
Process 40 nm 28 nm 20 nm 16 nm FF

* Pixel shaders + Vertex shaders. Since Kepler, Unified shaders are used.

Software support

Linux

Nvidia distributes proprietary device drivers for Tegra through OEMs and as part of its "Linux for Tegra" (formerly "L4T") development kit. The newer and more powerful devices of the Tegra family are now supported by Nvidia's own Vibrante Linux distribution. Vibrante comes with a larger set of GNU/Linux tools plus several Nvidia provided libraries for acceleration in the area of data processing and especially image processing for driving safety and automated driving up to the level of deep learning and neuronal networks that make e.g. heavy use of the CUDA capable accelerator blocks, and via OpenCV can make use of the NEON vector extensions of the ARM cores.

As of April 2012, due to different "business needs" from that of their GeForce line of graphics cards, Nvidia and one of their Embedded Partners, Avionic Design GmbH from Germany, are also working on submitting open source drivers for Tegra upstream to the mainline Linux kernel.[112][113] Nvidia co-founder & CEO laid out the Tegra processor roadmap using Ubuntu Unity in GPU Technology Conference 2013.[114]

QNX

The DrivePX2 board was announced with QNX RTOS support at the April 2016 GPU Technology Converence.[115]

Similar platforms

3

See also

References

[116]

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