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Vendor:NVIDIA
NVIDIA 900-13448-0020-000 | Jetson Nano AI Module, Quad-Core A57, 128-Core GPU, 4GB
900-13448-0020-000
Stock Status: Enquire
Vendor:NVIDIANVIDIA 900-13448-0020-000 | Jetson Nano AI Module, Quad-Core A57, 128-Core GPU, 4GB
The NVIDIA Jetson Nano Module is a compact system-on-module designed for edge AI and embedded computing applications. Powered by a quad-core ARM Cortex-A57 CPU and 128-core Maxwell GPU with 4GB LPDDR4 memory, it delivers up to 472 GFLOPS of AI computing performance. With 16GB onboard eMMC storage and support for 5W/10W power modes, it is ideal for robotics, industrial automation, smart cameras, and IoT gateway deployments requiring real-time neural network inference. -
Vendor:NVIDIA
NVIDIA 900-13636-0010-000 | Jetson TX2 NX AI Module, 6-Core CPU, 256-Core GPU, 4GB
900-13636-0010-000
Stock Status: Enquire
Vendor:NVIDIANVIDIA 900-13636-0010-000 | Jetson TX2 NX AI Module, 6-Core CPU, 256-Core GPU, 4GB
The NVIDIA Jetson TX2 NX is a compact AI compute module designed for entry-level embedded and edge AI applications. Featuring a 6-core heterogeneous CPU architecture with dual Denver 2 and quad Cortex-A57 cores, a 256-core Pascal GPU delivering 1.33 TFLOPS FP16 performance, 4GB LPDDR4 memory, and 16GB eMMC storage, this 69.6 x 45mm system-on-module provides up to 2.5X the performance of Jetson Nano while maintaining pin and form-factor compatibility with Jetson Nano and Xavier NX modules. Ideal for manufacturing, logistics, retail, agriculture, smart city, and healthcare applications requiring AI inference at the edge. -
Vendor:NVIDIA
NVIDIA 900-13701-0040-000 | Jetson AGX Orin AI Module, 32GB LPDDR5, 200 TOPS, 8-Core Arm CPU
900-13701-0040-000
Stock Status: Enquire
Vendor:NVIDIANVIDIA 900-13701-0040-000 | Jetson AGX Orin AI Module, 32GB LPDDR5, 200 TOPS, 8-Core Arm CPU
The NVIDIA Jetson AGX Orin 32GB is a compact system-on-module designed for edge AI and autonomous machine applications. Delivering up to 200 TOPS of AI performance with configurable power from 15W to 40W, this module features an 8-core Arm Cortex-A78AE CPU, 1792-core Ampere GPU with 56 Tensor cores, and 32GB LPDDR5 memory. Ideal for robotics, industrial automation, vision AI, and complex multi-sensor fusion deployments requiring high-performance inference at the edge. -
Vendor:NVIDIA
NVIDIA 900-13701-0050-000 | Jetson AGX Orin Module, 64GB, 275 TOPS, 12-Core CPU
900-13701-0050-000
Stock Status: Enquire
Vendor:NVIDIANVIDIA 900-13701-0050-000 | Jetson AGX Orin Module, 64GB, 275 TOPS, 12-Core CPU
The NVIDIA Jetson AGX Orin 64GB Module is a high-performance system-on-module delivering up to 275 TOPS of AI performance for robotics, autonomous machines, and edge AI applications. Featuring a 2048-core Ampere GPU, 12-core Arm Cortex-A78AE CPU, and 64GB LPDDR5 memory, this compact 100x87mm module supports multiple concurrent AI pipelines with power configurable from 15W to 60W. Ideal for demanding workloads including natural language processing, 3D perception, multi-sensor fusion, and vision AI. -
Vendor:NVIDIA
NVIDIA 900-13767-0000-000 | Jetson Orin NX 16GB AI Module, 100 TOPS, 10-25W
900-13767-0000-000
Stock Status: Enquire
Vendor:NVIDIANVIDIA 900-13767-0000-000 | Jetson Orin NX 16GB AI Module, 100 TOPS, 10-25W
The NVIDIA Jetson Orin NX 16GB is a compact system-on-module delivering up to 100 TOPS of AI performance with configurable power between 10W and 25W. Built on NVIDIA Ampere architecture with a 1024-core GPU, 32 Tensor Cores, and an 8-core Arm Cortex-A78AE CPU, it supports multiple concurrent AI pipelines for robotics, edge AI, vision processing, and autonomous machines. Ideal for space-constrained applications requiring high-performance AI inference in drones, handheld devices, industrial automation, and smart city deployments. -
Vendor:NVIDIA
NVIDIA 900-13767-0040-000 | Jetson Orin Nano 4GB AI Module, 6-Core A78AE, 20 TOPS
900-13767-0040-000
Stock Status: Enquire
Vendor:NVIDIANVIDIA 900-13767-0040-000 | Jetson Orin Nano 4GB AI Module, 6-Core A78AE, 20 TOPS
The NVIDIA Jetson Orin Nano 4GB Module is an AI-focused system-on-module delivering up to 20 TOPS of edge AI performance in a compact form factor. Powered by a 6-core ARM Cortex-A78AE processor and a 512-core NVIDIA Ampere GPU with 16 Tensor Cores, it supports 4GB LPDDR5 memory and provides comprehensive I/O including PCIe Gen 4, dual CSI-2 camera interfaces, Gigabit Ethernet, USB 3.2, and DisplayPort 1.4. Designed for robotics, industrial vision AI, retail analytics, and autonomous edge devices, this module offers up to 40 times the AI performance of its predecessor while remaining power-efficient and pin-compatible with Jetson Orin NX modules. -
Vendor:NVIDIA
NVIDIA 900-2G133-0010-000 | L40 48GB GDDR6 Graphics Card, 300W, 4x DP 1.4
900-2G133-0010-000
Stock Status: Enquire
Vendor:NVIDIANVIDIA 900-2G133-0010-000 | L40 48GB GDDR6 Graphics Card, 300W, 4x DP 1.4
The NVIDIA L40 GPU is a professional data center graphics accelerator built on Ada Lovelace architecture, delivering powerful visual computing, AI training and inference, and ray-tracing capabilities. With 48GB of GDDR6 memory, 18,176 CUDA cores, and third-generation RT cores, the L40 excels in 3D design, rendering, virtual production, video encoding with AV1 support, and deep learning workloads. Designed for 24x7 enterprise data center operations with passive cooling, the dual-slot L40 offers 300W power efficiency and secure boot with root of trust technology for mission-critical deployments. -
Vendor:NVIDIA
NVIDIA 900-2G133-0020-000 | A10 24GB GPU, 9216 CUDA, 150W Passive, PCIe 4.0
900-2G133-0020-000
Stock Status: Enquire
Vendor:NVIDIANVIDIA 900-2G133-0020-000 | A10 24GB GPU, 9216 CUDA, 150W Passive, PCIe 4.0
The NVIDIA A10 Tensor Core GPU delivers enterprise-grade AI inference, virtual workstation graphics, and video processing for mainstream data center servers. Built on Ampere architecture with 24GB GDDR6 memory, 9216 CUDA cores, and 72 RT Cores in a power-efficient 150W passive design, it accelerates AI workloads, VDI deployments, rendering, and virtualized graphics across diverse professional applications. Compatible with NVIDIA vGPU software for scalable remote workstation environments. -
Vendor:NVIDIA
NVIDIA 900-2G133-0080-000 | L40S 48GB Graphics Card, 350W, 4x DisplayPort 1.4a
900-2G133-0080-000
Stock Status: Enquire
Vendor:NVIDIANVIDIA 900-2G133-0080-000 | L40S 48GB Graphics Card, 350W, 4x DisplayPort 1.4a
The NVIDIA L40S is a powerful universal data center GPU built on Ada Lovelace architecture, delivering breakthrough performance for generative AI, large language model inference and training, 3D rendering, and video workloads. With 48GB GDDR6 ECC memory, 18,176 CUDA cores, 568 fourth-generation Tensor Cores with FP8 support, and 142 third-generation RT Cores, the L40S reaches up to 1,466 TFLOPS FP8 performance. Designed for enterprise 24/7 operations, it features passive cooling, PCIe 4.0 x16 interface, and NEBS Level 3 readiness in a dual-slot form factor. -
Vendor:NVIDIA
NVIDIA 900-2G153-0000-000 | RTX PRO 6000 96GB GDDR7 Graphics Card, PCIe 5.0, 600W
900-2G153-0000-000
Stock Status: Enquire
Vendor:NVIDIANVIDIA 900-2G153-0000-000 | RTX PRO 6000 96GB GDDR7 Graphics Card, PCIe 5.0, 600W
The NVIDIA RTX PRO 6000 Blackwell Server Edition delivers enterprise-grade AI and graphics acceleration for data center deployments. Built on the Blackwell architecture with 24,064 CUDA cores and 96GB of GDDR7 ECC memory, this passively-cooled GPU excels at large language model inference, agentic AI, engineering simulation, 3D rendering, and scientific computing workloads. The dual-slot PCIe 5.0 form factor integrates into rack-mounted servers with four DisplayPort 2.1 outputs for visualization. -
Vendor:NVIDIA
NVIDIA 900-2G179-0020-100 | A2 Tensor Core GPU, 16GB GDDR6, 40-60W, PCIe 4.0 x8
900-2G179-0020-100
Stock Status: Enquire
Vendor:NVIDIANVIDIA 900-2G179-0020-100 | A2 Tensor Core GPU, 16GB GDDR6, 40-60W, PCIe 4.0 x8
The NVIDIA A2 Tensor Core GPU delivers entry-level AI inference acceleration in a compact, low-power form factor ideal for edge computing deployments. Built on the NVIDIA Ampere architecture with 1280 CUDA cores and 40 third-generation Tensor Cores, it provides 4.5 TFLOPS FP32 performance and up to 72 TOPS INT4 precision. The single-slot, low-profile design with passive cooling and configurable 40-60W TDP makes it perfect for space-constrained servers handling intelligent video analytics, machine learning inference, and virtual desktop infrastructure workloads. -
Vendor:NVIDIA
NVIDIA 900-2G179-0020-101 | A2 Tensor Core 16GB GPU, PCIe 4.0 x8, 40-60W TDP
900-2G179-0020-101
Stock Status: Enquire
Vendor:NVIDIANVIDIA 900-2G179-0020-101 | A2 Tensor Core 16GB GPU, PCIe 4.0 x8, 40-60W TDP
The NVIDIA A2 Tensor Core GPU delivers entry-level AI inference acceleration with exceptional power efficiency for edge deployments and compact server environments. Built on the Ampere architecture with 16GB GDDR6 memory and 1280 CUDA cores, it provides 4.5 TFLOPS FP32 performance and up to 72 TOPS INT4 tensor performance in a single-slot, low-profile form factor. Ideal for intelligent video analytics, machine learning inference, and virtual desktop infrastructure workloads where space and power constraints are critical. -
Vendor:NVIDIA
NVIDIA 900-2G179-0020-101-NQR | A2 Tensor Core GPU, 16GB GDDR6, PCIe 4.0 x8, 40-60W
900-2G179-0020-101-NQR
Stock Status: Enquire
Vendor:NVIDIANVIDIA 900-2G179-0020-101-NQR | A2 Tensor Core GPU, 16GB GDDR6, PCIe 4.0 x8, 40-60W
The NVIDIA A2 Tensor Core GPU delivers entry-level AI inference acceleration in a compact, low-power design ideal for edge computing and intelligent video analytics deployments. Built on Ampere architecture with 16GB GDDR6 memory and 1280 CUDA cores, this single-slot, low-profile PCIe Gen4 x8 GPU provides up to 4.5 TFLOPS FP32 performance while operating within a configurable 40-60W thermal envelope. Passive cooling and NEBS-3 capability make it well-suited for challenging server environments requiring reliable AI acceleration at scale. -
Vendor:NVIDIA
NVIDIA 900-2G193-0000-000 | L4 Ada Lovelace GPU, 24GB GDDR6, 72W TDP, Single-Slot
900-2G193-0000-000
In stock
Vendor:NVIDIANVIDIA 900-2G193-0000-000 | L4 Ada Lovelace GPU, 24GB GDDR6, 72W TDP, Single-Slot
The NVIDIA L4 is a low-profile, energy-efficient Tensor Core GPU powered by the Ada Lovelace architecture, designed for AI inference, video processing, graphics virtualization, and data center workloads. With 24GB of GDDR6 memory, 7680 CUDA cores, and a 72W TDP, the L4 delivers universal acceleration in a compact single-slot form factor. Ideal for edge servers, cloud environments, and data centers requiring high throughput and low latency with minimal power consumption. -
Vendor:NVIDIA
NVIDIA 900-52061-0000-000 | Quadro Sync II Frame Lock & Genlock Module for RTX A-Series
900-52061-0000-000
In stock
Vendor:NVIDIANVIDIA 900-52061-0000-000 | Quadro Sync II Frame Lock & Genlock Module for RTX A-Series
The NVIDIA Quadro Sync II is a professional synchronization card designed for multi-GPU, multi-display environments requiring precise frame lock and genlock capabilities. Compatible with RTX A-series workstation GPUs including the A4000, A4500, A5000, A5500, and A6000, it enables synchronized display output across up to 32 displays and 4 GPUs per system. Ideal for video walls, broadcast production, simulation systems, and large-scale visualization applications demanding pixel-perfect timing and synchronization. -
Vendor:NVIDIA
NVIDIA 900-52061-0000-100 | PCIe sync board for RTX, genlock/framelock, multi-GPU/multi-display synchronization
900-52061-0000-100
Stock Status: Enquire
Vendor:NVIDIANVIDIA 900-52061-0000-100 | PCIe sync board for RTX, genlock/framelock, multi-GPU/multi-display synchronization
Professional synchronization board that enables genlock and frame lock across multiple RTX GPUs and displays. Ideal for large visualization walls, broadcast graphics, simulation, and VR environments where precise timing cohesion is required.
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