From 935da1379153afd38b0843cda6e3dcbe4556abad Mon Sep 17 00:00:00 2001 From: Ben Date: Tue, 26 May 2026 23:16:21 +0000 Subject: [PATCH 1/2] Removed incorrect note about jetson agx orin tops --- src/docs-hardware/nvidia/jetson-agx-orin/index.mdx | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/docs-hardware/nvidia/jetson-agx-orin/index.mdx b/src/docs-hardware/nvidia/jetson-agx-orin/index.mdx index 88f4ed7d..25295f8d 100644 --- a/src/docs-hardware/nvidia/jetson-agx-orin/index.mdx +++ b/src/docs-hardware/nvidia/jetson-agx-orin/index.mdx @@ -39,7 +39,7 @@ The NVIDIA Jetson AGX Orin represents the pinnacle of edge AI computing, deliver | Specification | Value | Notes | | -------------- | ---------------------------------- | ---------------------------------------------------- | -| AI Performance | 275 TOPS | Up to 408 TOPS in JetPack 6.2 Super Mode | +| AI Performance | 275 TOPS | | | GPU | 2048-core NVIDIA Ampere GPU | 64 Tensor Cores for maximum inference throughput | | CPU | 12-core Arm Cortex-A78AE @ 2.2 GHz | Armv8.2 64-bit with advanced safety features | | Memory | 32GB/64GB LPDDR5 | 204 GB/s bandwidth for complex multi-modal AI | From c5898fff0dcaa725310d4d82148fde970a5a237d Mon Sep 17 00:00:00 2001 From: Ben Date: Tue, 26 May 2026 23:25:21 +0000 Subject: [PATCH 2/2] Removed incorrect power value. --- src/docs-hardware/nvidia/jetson-agx-orin/index.mdx | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/docs-hardware/nvidia/jetson-agx-orin/index.mdx b/src/docs-hardware/nvidia/jetson-agx-orin/index.mdx index 25295f8d..b09afc30 100644 --- a/src/docs-hardware/nvidia/jetson-agx-orin/index.mdx +++ b/src/docs-hardware/nvidia/jetson-agx-orin/index.mdx @@ -43,7 +43,7 @@ The NVIDIA Jetson AGX Orin represents the pinnacle of edge AI computing, deliver | GPU | 2048-core NVIDIA Ampere GPU | 64 Tensor Cores for maximum inference throughput | | CPU | 12-core Arm Cortex-A78AE @ 2.2 GHz | Armv8.2 64-bit with advanced safety features | | Memory | 32GB/64GB LPDDR5 | 204 GB/s bandwidth for complex multi-modal AI | -| Power | 15-60W (75W Super) | Configurable power modes for any deployment scenario | +| Power | 15-60W | Configurable power modes for any deployment scenario | | Storage | 64GB eUFS + NVMe | High-speed storage for large AI models and datasets | ## Use Cases