{"id":31751,"date":"2026-06-01T22:33:02","date_gmt":"2026-06-02T02:33:02","guid":{"rendered":"https:\/\/connecttech.com\/?p=31751"},"modified":"2026-06-01T22:33:02","modified_gmt":"2026-06-02T02:33:02","slug":"why-swap-your-carrier-board-swap-your-module","status":"publish","type":"post","link":"https:\/\/connecttech.com\/why-swap-your-carrier-board-swap-your-module\/","title":{"rendered":"Why Swap Your Carrier Board When You Can Just Swap the Module?"},"content":{"rendered":"
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Sensor-dense autonomous\u00a0systems\u00a0don’t\u00a0always need to max out AI compute.\u00a0<\/span>\u00a0<\/span><\/p>\n

There’s\u00a0a tendency in Edge AI development to default to maximum performance: grab the most powerful module available, spec the system around it, and ship.\u00a0That approach works.\u00a0When\u00a0you’re\u00a0building products that need to hit a price point, run efficiently in the field, or scale across a fleet, there are options.<\/span>\u00a0<\/span><\/p>\n

As part of the NVIDIA Jetson Thor series and powered by the NVIDIA Blackwell architecture, the Jetson T4000 brings up to 1200 FP4 TFLOPS of AI compute and 64 GB of memory in a power envelope configurable between 40 W and 70 W. It’s not a cut-down module; it’s a purpose-built one. And for a wide range of real-world Edge AI applications, it could be the right call.<\/span>\u00a0<\/span><\/p>\n

The good news for Connect Tech customers: if you’re already building on a Jetson Orin or Jetson T5000-powered platform, the Jetson T4000 is an option for the Rogue lineup of products.<\/span>\u00a0<\/span><\/p>\n

Rogue-T5 + Jetson T4000: Right-Sized for Sensor-Dense, Harsh-Environment Autonomy<\/span><\/b>\u00a0<\/span><\/h2>\n

Rogue-T5 was designed for\u00a0deployments where things get hard fast: rugged field conditions,\u00a0multi-sensor\u00a0perception\u00a0stacks, tight enclosures, and I\/O-heavy autonomous systems. Its small form factor and broad connectivity, including GMSL3, GMSL2, SDI, HD-SDI, HDMI, dual 10GBase-T Ethernet, and four CAN channels, make it a strong fit for robotics, industrial automation, and\u00a0aerospace and defense.<\/span>\u00a0<\/span><\/p>\n

The Jetson T4000 fits that profile well.\u00a0Projects\u00a0don\u2019t\u00a0always need to max out AI compute. They need consistent, reliable inference across a wide range of inputs at a power budget that works in the field. With 1200 TFLOPS of FP4 performance and a 40 W-70 W power range, the Jetson T4000 keeps up with demanding\u00a0multi-sensor\u00a0workloads without running\u00a0hot or breaking the power budget. For teams already deploying Rogue with Jetson AGX Orin, this is a well-supported step forward inside a familiar architecture.<\/span><\/p>\n

Jetson T4000\u00a0<\/span>at a Glance<\/span><\/span>\u00a0<\/span><\/strong><\/h2>\n\n\n\n\n\t\n\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\n\t
Technical Specification<\/strong><\/th>NVIDIA Jetson T5000<\/strong><\/th>NVIDIA Jetson T4000<\/strong><\/th>\n<\/tr>\n<\/thead>\n
AI Performance<\/td>2070 TFLOPS (FP4 - sparse)<\/td>1200 TFLOPS (FP4 - sparse)<\/td>\n<\/tr>\n
GPU<\/td>2560-core NVIDIA Blackwell architecture GPU with fifth-generation Tensor Cores<\/td>1536-core NVIDIA Blackwell architecture GPU with fifth-generation Tensor Cores<\/td>\n<\/tr>\n
CPU<\/td>14-core Arm\u00ae Neoverse\u00ae-V3AE 64-bit CPU
\n64 KB I-Cache, 64 KB D-Cache
\n1 MB L2 Cache per core
\n16 MB Shared System L3 Cache<\/td>		12-core Arm\u00ae Neoverse\u00ae-V3AE 64-bit CPU
\n64 KB I-Cache, 64 KB D-Cache
\n1 MB L2 Cache per core
\n16 MB Shared System L3 Cache <\/td>\n<\/tr>\n
Memory<\/td>128 GB 256-bit LPDDR5X
\n273 GB\/s<\/td>		64 GB 256-bit LPDDR5X
\n273 GB\/s<\/td>\n<\/tr>\n
Power<\/td>40 W\u2013130 W<\/td>40 W-70 W<\/td>\n<\/tr>\n
Networking<\/td>4x 25GbE<\/td>3x 25GbE<\/td>\n<\/tr>\n
Storage<\/td>NVMe via PCIe, SSD via USB 3.2<\/td>\n<\/tr>\n
USB<\/td>xHCI host controller with integrated PHY (Up to)
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\n3x USB 3.2
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\n4x USB 2.0<\/td>\n<\/tr>\n<\/tbody>\n
* Specifications are subject to change.<\/th>\n<\/tr>\n<\/tfoot>\n<\/table>\n\n

The Integration Advantage<\/span><\/b>\u00a0<\/span><\/h2>\n

Choosing the right module is only part of the equation. Getting it into a working system quickly is the other half. Connect Tech has been doing this for over a decade as an NVIDIA Elite Partner,\u00a0the highest level of partnership,\u00a0and it shows. Every\u00a0<\/span>Rogue-T5<\/span>\u00a0<\/span>for the Jetson T4000 ships with an integrated Connect Tech L4T BSP that includes hardware-specific drivers, Linux support aligned with NVIDIA JetPack releases, and tools built to reduce bring-up time. Another unique advantage of working with Connect Tech is CTai LABS, a department of Connect Tech, which works directly with customers on AI application development, optimization, and deployment for Physical AI systems. If the integration gets complex, there’s a team ready to move with you.\u00a0<\/span>\u00a0<\/span><\/p>\n

The Jetson ecosystem stays consistent across both modules, covering NVIDIA JetPack, NVIDIA CUDA, NVIDIA Isaac ROS, NVIDIA Metropolis, and NVIDIA’s accelerated libraries, which means switching between the Jetson T5000 and Jetson T4000 doesn’t mean starting over.<\/span>\u00a0<\/span><\/p>\n\n\t\t<\/div>\n\t<\/div>\n<\/div><\/div><\/div><\/div>

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