NVIDIA® Jetson AGX Orin™ Developer Kit: smallest and most powerful AI edge computer
Jetson AGX Orin เปลี่ยนสถาปัตยกรรมเป็น Ampere แรงกว่าเดิม 6 เท่า!!
ตัวซีพียูเป็น Cortex-A78AE พร้อมแรม 32GB อัตราการส่งข้อมูลเข้าออกแรม 204GB/s พลังประมวลผลโดยรวม 200 ล้านล้านคำสั่งต่อวินาที พลังประมวลผลพียงพอต่อการควบคุมหุ่นยนต์, รันปัญญาประดิษฐ์เช่นโมเดลภาษา, หรือการประมวลข้อมูลเซ็นเซอร์จำนวนมาก
The newest member of Jetson Family, NVIDIA® Jetson AGX Orin™ Developer Kit, provides a giant leap forward for Robotics and Edge AI. With up to 275 TOPS of AI performance and power configurable between 15W and 50W, you now have more than 8X the performance of NVIDIA® Jetson AGX Xavier™ in the same compact form-factor for developing advanced robots and other autonomous machine products.
With Jetson AGX Orin, developers can now deploy large and complex models to solve problems like natural language understanding, 3D perception, and multi-sensor fusion.
Features
- Most powerful AI computer for energy-efficient autonomous machines: up to 275 TOPS, power configurable between 15W and 60W, supports multiple concurrent AI inference pipelines, plus high-speed interface support for multiple sensors.
- Giant Leap forward compared to Jetson AGX Xavier: 8 times AI performance in the same compact form-factor, built with new NVIDIA Ampere architecture with 2048 NVIDIA® CUDA® cores and 64 tensor cores, 12-core Arm Cortex-A78AE v8.2 64-bit CPU 3MB L2+6MB L3
- Supports multiple concurrent AI inference pipelines with onboard 64GB eMMC, 204 GB/s of memory bandwidth, and 32 GB of DRAM.
- High-speed interface support for multiple sensors: 22 lanes of PCIe Gen4, Gigabit Ethernet, 4 XFI interfaces for 10 Gigabit Ethernet, a Display Port, 16 lanes of MIPI CSI-2, USB3.2 interfaces, and 40-pin header.
- Support Jetpack 5.0 installs Ubuntu 20.04 and supports entire NVIDIA JetPack™ and use-case-specific software platforms including Isaac for robotics, and Metropolis for smart cities.
AGX Xavier |
AGX Orin |
|
GPU |
512-core Volta GPU with 64 Tensor Cores |
NVIDIA Ampere architecture with 2048 NVIDIA® CUDA® cores and 64 Tensor Cores |
CPU |
8-core ARM v8.2 64-bit CPU,8MB L2 + 4MB L3 |
12-core Arm® Cortex®-A78AE v8.2 64-bit CPU3MB L2 + 6MB L3 |
Memory |
32GB 256-Bit LPDDR4x137GB/s |
32GB 256-bit LPDDR5204.8 GB/s |
Storage |
32GB eMMC 5.1 |
64GB eMMC 5.1 |
DL Accelerator |
2x NVDLA Engines |
2x NVDLA v2.0 |
Vision Accelerator |
7-way VLIW Vision Processor |
PVA v2.0 |
Encoder |
2x1000MP/sec 4x 4K @ 60 (HEVC) 8x 4K @ 30 (HEVC) 16x 1080p @ 60 (HEVC) 32x 1080p @ 30 (HEVC) |
2x 4K604x 4K30 8x 1080p60 16x 1080p30 (H.265) |
Decoder |
2x1500MP/sec 2x 8K @ 30 (HEVC) 6x 4K @ 60 (HEVC) 12x 4K @ 30 (HEVC) 26x 1080p @ 60 (HEVC) 52x 1080p @ 30 (HEVC) 30x 1080p @ 30 (H.264) |
1x 8K30 3x 4K60 6x 4K30 12x 1080p60 24x 1080p30 (H.265) |
Size |
100.0 mm x 87.0 mm |
100.0 mm × 87.0 mm |