{"id":180,"date":"2025-10-24T17:12:58","date_gmt":"2025-10-24T17:12:58","guid":{"rendered":"https:\/\/pckumar.in\/datacenters\/?page_id=180"},"modified":"2026-04-09T11:53:02","modified_gmt":"2026-04-09T11:53:02","slug":"nvidia-jetson-orin-nx","status":"publish","type":"post","link":"https:\/\/pckumar.in\/datacenters\/nvidia-jetson-orin-nx\/","title":{"rendered":"Nvidia Jetson Orin NX"},"content":{"rendered":"

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Nvidia Jetson Orin NX<\/h1>\n

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Nvidia Jetson Orin NX<\/h1>\n

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Bring your next-gen products to life with the world\u2019s most powerful embedded AI computers for generative AI, computer vision, and advanced robotics. The NVIDIA Jetson Orin\u2122 family includes seven modules with identical architecture, offering up to 275 trillion operations per second (TOPS) and 8X the performance of the last generation for multimodal AI inference, plus high-speed interface support. <\/span><\/p>\n

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The powerful software stack features pre-trained AI models,\u00a0 reference AI workflows and vertical application framework, accelerating end-to-end development for generative AI, as well as any edge AI and robotics application.<\/span><\/p>\n

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View Jetson Orin Technical Specifications<\/h2>\n<\/div>\n<\/div>\n<\/div>\n
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\u00a0<\/td>\nJetson AGX Orin series<\/b><\/td>\nJetson Orin NX series<\/b><\/td>\nJetson Orin Nano series<\/b><\/td>\n<\/tr>\n
Jetson AGX Orin Developer Kit<\/b><\/td>\nJetson AGX Orin 64GB<\/b><\/td>\nJetson AGX Orin Industrial<\/b><\/td>\nJetson AGX Orin 32GB<\/b><\/td>\nJetson Orin NX 16GB<\/b><\/td>\nJetson Orin NX 8GB<\/b><\/td>\nJetson Orin Nano Super Developer Kit<\/b><\/td>\nJetson Orin Nano 8GB<\/b><\/td>\nJetson Orin Nano 4GB<\/b><\/td>\n<\/tr>\n
AI Performance<\/td>\n275 TOPS<\/td>\n248 TOPs<\/td>\n200 TOPS<\/td>\n157 TOPS<\/td>\n117 TOPS<\/td>\n67 TOPS<\/td>\n67 TOPS<\/td>\n34 TOPS<\/td>\n<\/tr>\n
GPU<\/td>\n2048-core NVIDIA Ampere architecture GPU with 64 Tensor Cores<\/td>\n1792-core NVIDIA Ampere c GPU with 56 Tensor Cores<\/td>\n1024-core NVIDIA Ampere architecture GPU with 32 Tensor Cores<\/td>\n1024-core NVIDIA Ampere architecture GPU with 32 Tensor Cores<\/td>\n512-core NVIDIA Ampere architecture GPU with 16 Tensor Cores<\/td>\n<\/tr>\n
GPU Max Frequency<\/td>\n1.3 GHz<\/td>\n1.2 GHz<\/td>\n930 MHz<\/td>\n1173MHz<\/td>\n1173MHz<\/td>\n1020MHz<\/td>\n1020MHz<\/td>\n1020MHz<\/td>\n<\/tr>\n
CPU<\/td>\n12-core Arm\u00ae Cortex\u00ae-A78AE v8.2 64-bit CPU
3MB L2 + 6MB L3<\/td>\n		8-core Arm\u00ae Cortex\u00ae-A78AE v8.2 64-bit CPU
2MB L2 + 4MB L3<\/td>\n		8-core Arm\u00ae Cortex\u00ae-A78AE v8.2 64-bit CPU
2MB L2 + 4MB L3<\/td>\n		6-core Arm\u00ae Cortex\u00ae-A78AE v8.2 64-bit CPU
1.5MB L2 + 4MB L3<\/td>\n		6-core Arm\u00ae Cortex\u00ae-A78AE v8.2 64-bit CPU
1.5MB L2 + 4MB L3<\/td>\n<\/tr>\n
CPU Max Frequency<\/td>\n2.2 GHz<\/td>\n2.0 GHz<\/td>\n2.2 GHz<\/td>\n2 GHz<\/td>\n1.7 GHz<\/td>\n1.7 GHz<\/td>\n1.7 GHz<\/td>\n<\/tr>\n
DL Accelerator<\/a><\/td>\n2x NVDLA v2<\/td>\n1x NVDLA v2<\/td>\n–<\/td>\n<\/tr>\n
DLA Max Frequency<\/td>\n1.6 GHz<\/td>\n1.4 GHz<\/td>\n1.23 GHz<\/td>\n–<\/td>\n<\/tr>\n
Vision Accelerator<\/td>\n1x PVA v2<\/td>\n–<\/td>\n<\/tr>\n
Safety Cluster Engine<\/td>\n–<\/td>\n–<\/td>\n–<\/td>\n<\/tr>\n
Memory<\/td>\n64GB 256-bit LPDDR5
204.8GB\/s<\/td>\n		64GB 256-bit LPDDR5 (+ ECC)
204.8GB\/s<\/td>\n		32GB 256-bit LPDDR5
204.8GB\/s<\/td>\n		16GB 128-bit LPDDR5
102.4GB\/s<\/td>\n		8GB 128-bit LPDDR5
102.4GB\/s<\/td>\n		8GB 128-bit LPDDR5
102 GB\/s<\/td>\n		8GB 128-bit LPDDR5
102 GB\/s<\/td>\n		4GB 64-bit LPDDR5
51 GB\/s<\/td>\n<\/tr>\n
Storage<\/td>\n64GB eMMC 5.1<\/td>\n–
(Supports external NVMe)<\/td>\n		–
(SD Card Slot & external NVMe via M.2 Key M)<\/td>\n		–
(Supports external NVMe)<\/td>\n<\/tr>\n
Video Encode<\/td>\n2x 4K60 (H.265)
4x 4K30 (H.265)
8x 1080p60 (H.265)
16x 1080p30 (H.265)<\/td>\n		1x 4K60 (H.265)
3x 4K30 (H.265)
7x 1080p60 (H.265)
15x 1080p30 (H.265)<\/td>\n		1x 4K60 (H.265)
3x 4K30 (H.265)
6x 1080p60 (H.265)
12x 1080p30 (H.265)<\/td>\n		1080p30 supported by 1-2 CPU cores<\/td>\n<\/tr>\n
Video Decode<\/td>\n1x 8K30 (H.265)
3x 4K60 (H.265)
7x 4K30 (H.265)
11x 1080p60 (H.265)
22x 1080p30 (H.265)<\/td>\n		1x 8K30 (H.265)
3x 4K60 (H.265)
7x 4K30 (H.265)
11x 1080p60 (H.265)
23x 1080p30 (H.265)<\/td>\n		1x 8K30 (H.265)
2x 4K60 (H.265)
4x 4K30 (H.265)
9x 1080p60 (H.265)
18x 1080p30 (H.265)<\/td>\n		1x 4K60 (H.265)
2x 4K30 (H.265)
5x 1080p60 (H.265)
11x 1080p30 (H.265)<\/td>\n<\/tr>\n
CSI Camera<\/td>\n16-lane MIPI CSI-2 connector<\/td>\nUp to 6 cameras (16 via virtual channels)
16 lanes MIPI CSI-2
D-PHY 2.1 (up to 40Gbps) | C-PHY 2.0 (up to 164Gbps)<\/td>\n		Up to 4 cameras (8 via virtual channels***)
8 lanes MIPI CSI-2
D-PHY 2.1 (up to 20Gbps)<\/td>\n		2x MIPI CSI-2 22-pin Camera Connectors<\/td>\nUp to 4 cameras (8 via virtual channels***)
8 lanes MIPI CSI-2
D-PHY 2.1 (up to 20Gbps)<\/td>\n<\/tr>\n
PCIe*<\/td>\nx16 PCIe slot supporting x8 PCIe Gen4
M.2 Key M slot with x4 PCIe Gen4
M.2 Key E slot with x1 PCIe Gen4<\/td>\n		Up to 2 x8 + 1 x4 + 2 x1
(PCIe Gen4, Root Port, & Endpoint)<\/td>\n		1 x4 + 3 x1
(PCIe Gen4, Root Port, & Endpoint)<\/td>\n		M.2 Key M slot with x4 PCIe Gen3
M.2 Key M slot with x2 PCIe Gen3
M.2 Key E slot<\/td>\n		1 x4 + 3 x1
(PCIe Gen3, Root Port, & Endpoint)<\/td>\n<\/tr>\n
USB*<\/td>\nUSB Type-C connector: 2x USB 3.2 Gen2
USB Type-A connector: 2x USB 3.2 Gen2, 2x USB 3.2 Gen1
USB Micro-B connector: USB 2.0<\/td>\n		3x USB 3.2 Gen2 (10 Gbps)
4x USB 2.0<\/td>\n		3x USB\u00a03.2 Gen2 (10\u00a0Gbps)
3x USB 2.0<\/td>\n		USB Type-A Connector: 4x USB 3.2 Gen2
USB Type-C Connector for UFP<\/td>\n		3x USB\u00a03.2 Gen2 (10\u00a0Gbps)
3x USB 2.0<\/td>\n<\/tr>\n
Networking*<\/td>\nRJ45 connector with up to 10 GbE<\/td>\n1x GbE
1x 10GbE<\/td>\n		1x GbE<\/td>\n1xGbE Connector<\/td>\n1x GbE<\/td>\n<\/tr>\n
Display<\/td>\n1x DisplayPort 1.4a (+MST) connector<\/td>\n1x 8K60 multi-mode DP 1.4a (+MST)\/eDP 1.4a\/HDMI 2.1<\/td>\n1x 8K30 multi-mode DP 1.4a (+MST)\/eDP 1.4a\/HDMI 2.1<\/td>\n1x DisplayPort 1.2 (+MST) connector<\/td>\n1x 4K30 multi-mode DP 1.2 (+MST)\/eDP 1.4\/HDMI 1.4**<\/td>\n<\/tr>\n
Other I\/O<\/td>\n40-pin header (UART, SPI, I2S, I2C, CAN, PWM, DMIC, GPIO)
12-pin automation header
10-pin audio panel header
10-pin JTAG header
4-pin fan header
2-pin RTC batter backup connector
microSD slot
DC power jack
Power, Force Recovery, and Reset buttons<\/td>\n		4x UART, 3x SPI, 4x I2S, 8x I2C, 2x CAN, PWM, DMIC & DSPK, GPIOs<\/td>\n3x UART, 2x SPI, 2x I2S, 4x I2C, 1x CAN, DMIC & DSPK, PWM, GPIOs<\/td>\n40-Pin Expansion Header(UART, SPI, I2S, I2C, GPIO)
12-pin button header
4-pin fan header
microSD Slot
DC power jack<\/td>\n		3x UART, 2x SPI, 2x I2S, 4x I2C, 1x CAN, DMIC & DSPK, PWM, GPIOs<\/td>\n<\/tr>\n
Power<\/td>\n15W – 60W<\/td>\n15W-75W<\/td>\n15W – 40W<\/td>\n10W – 15W – 25W – 40W<\/td>\n10W – 15W – 25W – 40W<\/td>\n7W – 15W – 25W<\/td>\n7W – 15W – 25W<\/td>\n7W – 10W – 25W<\/td>\n<\/tr>\n
Mechanical<\/td>\n110mm x 110mm x 71.65mm
(Height includes feet, carrier board, module, and thermal solution)<\/td>\n		100mm x 87mm
699-pin Molex Mirror Mezz Connector
Integrated Thermal Transfer Plate<\/td>\n		69.6mm x 45mm
260-pin SO-DIMM connector<\/td>\n		100 mm x 79 mmx 21 mm
(Height includes feet, carrier board, module, and thermal solution)<\/td>\n		69.6mm x 45mm
260-pin SO-DIMM connector<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n
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Contact Us<\/a><\/p>\n

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Close<\/div>\n<\/div>\n

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AI PC<\/a><\/p>\n

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Office PC<\/a><\/p>\n

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Workstation PC<\/a><\/p>\n

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Gaming PC<\/a><\/p>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":"

Nvidia Jetson Orin NXNvidia Jetson Orin NX Bring your next-gen products to life with the world\u2019s most powerful embedded AI computers for generative AI, computer vision, and advanced robotics. The NVIDIA Jetson Orin\u2122 family includes seven modules with identical architecture, offering up to 275 trillion operations per second (TOPS) and 8X the performance of the […]<\/p>\n","protected":false},"author":3,"featured_media":114,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"2880","footnotes":""},"categories":[23,6],"tags":[],"class_list":["post-180","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-jetson","category-nvidia"],"_links":{"self":[{"href":"https:\/\/pckumar.in\/datacenters\/wp-json\/wp\/v2\/posts\/180","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/pckumar.in\/datacenters\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/pckumar.in\/datacenters\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/pckumar.in\/datacenters\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/pckumar.in\/datacenters\/wp-json\/wp\/v2\/comments?post=180"}],"version-history":[{"count":8,"href":"https:\/\/pckumar.in\/datacenters\/wp-json\/wp\/v2\/posts\/180\/revisions"}],"predecessor-version":[{"id":3274,"href":"https:\/\/pckumar.in\/datacenters\/wp-json\/wp\/v2\/posts\/180\/revisions\/3274"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/pckumar.in\/datacenters\/wp-json\/wp\/v2\/media\/114"}],"wp:attachment":[{"href":"https:\/\/pckumar.in\/datacenters\/wp-json\/wp\/v2\/media?parent=180"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/pckumar.in\/datacenters\/wp-json\/wp\/v2\/categories?post=180"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/pckumar.in\/datacenters\/wp-json\/wp\/v2\/tags?post=180"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}