Edge AI SDK/AI Framework/Nvidia x86 64 - Revision history

Eric.liang: /* DeepStream 6.4 Prerequisites: */

2025-04-24T01:43:07Z

‎DeepStream 6.4 Prerequisites:

Eric.liang at 09:27, 16 December 2024

2024-12-16T09:27:18Z

Kent.yao: Kent.yao moved page Edge AI SDK/AI Framework/Nvidia x86 64-rc to Edge AI SDK/AI Framework/Nvidia x86 64

2024-07-02T08:45:32Z

Kent.yao moved page Edge AI SDK/AI Framework/Nvidia x86 64-rc to Edge AI SDK/AI Framework/Nvidia x86 64

Kent.yao at 02:12, 1 July 2024

2024-07-01T02:12:09Z

Kent.yao: Kent.yao moved page Edge AI SDK/AI Framework/Nvidia x86-64-rc to Edge AI SDK/AI Framework/Nvidia x86 64-rc over redirect

2024-06-04T06:58:20Z

Kent.yao moved page Edge AI SDK/AI Framework/Nvidia x86-64-rc to Edge AI SDK/AI Framework/Nvidia x86 64-rc over redirect

Kent.yao: Kent.yao moved page Edge AI SDK/AI Framework/Nvidia x86 64-rc to Edge AI SDK/AI Framework/Nvidia x86-64-rc

2024-06-04T06:57:46Z

Kent.yao moved page Edge AI SDK/AI Framework/Nvidia x86 64-rc to Edge AI SDK/AI Framework/Nvidia x86-64-rc

Kent.yao: Kent.yao moved page Edge AI SDK/AI Framework/RTXA5000 AI Suite rc to Edge AI SDK/AI Framework/Nvidia x86 64-rc

2024-06-04T06:57:17Z

Kent.yao moved page Edge AI SDK/AI Framework/RTXA5000 AI Suite rc to Edge AI SDK/AI Framework/Nvidia x86 64-rc

Tim.shen at 01:39, 4 June 2024

2024-06-04T01:39:36Z

Tim.shen at 01:38, 4 June 2024

2024-06-04T01:38:10Z

Tim.shen at 01:17, 4 June 2024

2024-06-04T01:17:27Z

@@ Line 16: / Line 16: @@
 === DeepStream 6.4 Prerequisites: ===
-You must install the following components:
+Includs the following components:
 *GStreamer 1.20.3
 *Nvidia Driver R535.104.12
 *CUDA 12.2
 *TensorRT 8.6.1.6
 = TensorRT =

← Older revision		Revision as of 09:27, 16 December 2024
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		+
		+	= CUDA =
		+
		+	The NVIDIA® CUDA® Toolkit provides a development environment for creating high-performance, GPU-accelerated applications. With it, you can develop, optimize, and deploy your applications on GPU-accelerated embedded systems, desktop workstations, enterprise data centers, cloud-based platforms, and supercomputers. The toolkit includes GPU-accelerated libraries, debugging and optimization tools, a C/C++ compiler, and a runtime library.
		+
		+	More Info refer to [https://developer.nvidia.com/cuda-toolkit]

	= DeepStream =		= DeepStream =

← Older revision		Revision as of 02:12, 1 July 2024
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	[[File:EdgeAISDK rtxa5000 UI.png\|800x450px\|EdgeAISDK rtxa5000 UI.png]]		[[File:EdgeAISDK rtxa5000 UI.png\|800x450px\|EdgeAISDK rtxa5000 UI.png]]
−
−	~~[[Category:Editor]]~~

@@ Line 8: / Line 8: @@
 More Info refer to&nbsp;[https://developer.nvidia.com/deepstream-sdk https://developer.nvidia.com/deepstream-sdk]
-== DeepStream 6.4 Prerequisites: ==
+=== DeepStream 6.4 Prerequisites: ===
 You must install the following components:
@@ Line 24: / Line 24: @@
 &nbsp;
-== <span style="font-size:larger;">Edge AI SDK&nbsp;/ Application</span> ==
+= <span style="font-size:larger;">Edge AI SDK&nbsp;/ Application</span> =
 <span style="font-size:larger;">Quick Start (Vision) / Application / Video or WebCam / dGPU</span>

@@ Line 8: / Line 8: @@
 More Info refer to&nbsp;[https://developer.nvidia.com/deepstream-sdk https://developer.nvidia.com/deepstream-sdk]
-&nbsp;
+== DeepStream 6.4 Prerequisites: ==
 = TensorRT =
@@ Line 36: / Line 44: @@
 |-
 | style="width: 154px;" | <span style="font-size:larger;">Face Detection</span>
-| style="width: 179px;" |
+| style="width: 179px;" | facenet.etlt
 |-
 | style="width: 154px;" | <span style="font-size:larger;">Pose Estimation</span>

← Older revision	Revision as of 08:45, 2 July 2024
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← Older revision	Revision as of 06:58, 4 June 2024
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← Older revision	Revision as of 06:57, 4 June 2024
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@@ Line 1: / Line 1: @@
-= RTX-A5000 AI Suite =
+= DeepStream =
-<span style="font-size:larger;">The&nbsp;[https://www.nvidia.com/en-us/design-visualization/rtx-a5000/ NVIDIA RTX A5000]&nbsp;is supported by an advanced software suite designed to accelerate AI, data science, and graphics applications on professional workstations.</span>
+DeepStream&nbsp;is a complete streaming analytics toolkit based on GStreamer for AI-based multi-sensor processing, video, audio, and image understanding. It’s ideal for vision AI developers, software partners, startups, and OEMs building IVA apps and services. Developers can now create stream processing pipelines that incorporate neural networks and other complex processing tasks such as tracking, video encoding/decoding, and video rendering. DeepStream pipelines enable real-time analytics on video, image, and sensor data.
-<span style="font-size:larger;">Spearhead innovation from your desktop with the NVIDIA RTX<sup>™</sup>&nbsp;A5000 graphics card, the perfect balance of power, performance, and reliability to tackle complex workflows. Built on the latest NVIDIA Ampere architecture and featuring 24 gigabytes (GB) of GPU memory, it’s everything designers, engineers, and artists need to realize their visions for the future, today.</span>
+DeepStream’s multi-platform support gives you a faster, easier way to develop vision AI applications and services. You can even deploy them on-premises, on the edge, and in the cloud with the click of a button.&nbsp;
-&nbsp;
+More Info refer to&nbsp;[https://developer.nvidia.com/deepstream-sdk https://developer.nvidia.com/deepstream-sdk]
 &nbsp;
-= Applications =
+= TensorRT =
-&nbsp;
+[https://developer.nvidia.com/tensorrt TensorRT]&nbsp;is a high performance deep learning inference runtime for image classification, segmentation, and object detection neural networks. TensorRT is built on CUDA, NVIDIA’s parallel programming model, and enables you to optimize inference for all deep learning frameworks. It includes a deep learning inference optimizer and runtime that delivers low latency and high-throughput for deep learning inference applications.
 &nbsp;