GPU CARD & AI

NVIDIA Quadro RTX A2000 PCIe 12GB DSLP - PCIe 4.0 x16 - 4 x miniDisplayPort, Dual Slot

• 3328 CUDA cores
• 104 Tensor cores
• 32 RT cores
• 8 TFLOPS
• Dual slot, half height
• Dimension (L x H) 167.6 x 68.6 mm

NVIDIA Quadro RTX 2000E - Graphics card - 16 Gt GDDR6 - PCIe 3.0 x16 - 4 x miniDisplayPort

• 2816 Cuda cores
• 88 Tensor cores
• 22 RT cores
• 12 TFLOPS
• Single slot, half height
• Dimension (L x H) 169,6 x 68,9mm

NVIDIA Quadro T1000 - Graphics card - Quadro T1000 - 8 GB GDDR6 - PCIe 3.0 x16 - 4 x miniDisplayPort

• 896 CUDA cores
• - Tensor cores
• - RT cores
• 2.5 TFLOPS
• Single slot, half height
• Dimension (L x H) 154.9 x 68.6 mm

• 26 TOPS AI Computing delivered by Hailo-8 VPU
• M.2 2242 w/ optional 2280 extensions
• -20~65°C operating temp. w/ optional heatsink
• Typical 2.5W Low power consumption
• Rich AI Dev. Toolkits including Model Library, Model Converter, Runtime SDK Integration

NVIDIA Quadro RTX A5500 PCIe 24GB DSFH , 4 x DisplayPort, Dual Slot

• 12240 CUDA cores
• 320 Tensor cores
• 80 RT cores
• 34.1 TFLOPS
• Dual slot, Full height
• Dimension (L x H) 266.8 x 111,8 mm

NVIDIA Quadro RTX 5000 Ada 32GB PCI-Ex16 DP*4 FS , 4 x DisplayPort, Dual Slot

• 12800 CUDA cores
• 400 Tensor cores
• 100 RT cores
• 65.3 TFLOPS
• Dual slot, Full height
• Dimension (L x H) 266.8 x 111,8 mm

NVIDIA Quadro RTX 6000 Ada PCIe 48GB DSFH- 4 x DisplayPort, Dual Slot

• 18176 CUDA cores
• 568 Tensor cores
• 142 RT cores
• 91.1 TFLOPS
• Dual slot, Full height
• Dimension (L x H) 266.8 x 111,8 mm

• NVIDIA® Quadro® A1000 with MXM 3.1 TYPE A form factor (82 x 70 mm)
• Up to 2048 CUDA cores , 16 RT cores and 64 Tensor cores, 6.66 TFLOPS
• GDDR6 4GB memory, 128-bit, bandwidth 224 GB/s
• Up to 4 x DisplayPort 1.4a outputs
• Long life cycle, supports 5 years availability

• NVIDIA® Quadro® A500 with MXM 3.1 TYPE A form factor (82 x 70 mm)
• Up to 2048 CUDA cores , 16 RT cores and 64 Tensor cores, 6.54 TFLOPS
• GDDR6 4GB memory, 64-bit, bandwidth 112 GB/s
• Headless design, support MS-Hybrid mode only
• Long life cycle, supports 5 years availability

MXM 3.1 Type B+ NVIDIA® Quadro® Embedded A4500 with DP 1.4a

• NVIDIA® Quadro® A4500 with MXM 3.1 TYPE B+ form factor(82 x 105 mm)
• Up to 5888 CUDA cores , 46 RT cores and 184 Tensor cores, 17.66 TFLOPS
• GDDR6 16GB memory, 256-bit, bandwidth 512 GB/s
• Up to 4 x DisplayPort 1.4a outputs
• Long life cycle, supports 5 years availability

Kneron KL520 Edge AI Module

• Kneron KL520 NPU onboard
• Mini PCI-E card (USB2.0 interface,Full size)
• Accelerator for Edge AI solution
• Maximize power efficiency and performance
• Support widely AI frameworks and CNN models

Computing Accelerator Card with 1 x Intel® Movidius™ Myriad™ X MA2485 VPU,M.2 AE key interface, 2230

• M.2 AE key form factor (22 x 30 mm)
• 1 x Intel® Movidius™ Myriad™ X VPU MA2485
• Power efficiency, approximate 4.5W
• Operating Temperature -20°C to 60°C
• Powered by Intel’s OpenVINO™ toolkit

M.2 2280 to Dual Intel Movidius Myriad X AI module

• M.2 2280 B+M Key to 2 Movidius Myriad X
• Low Power Design
• Support Intel OpenVINO™ Toolkit
• Supported Framework: TensorFlow, Caffe, MXNET
• Complies with CE/FCC Class A

mPCIe to Intel Movidius Myriad X AI module

• mPCIe to 1 Movidius Myriad X
• Low Power Design
• Support Intel OpenVINO™ Toolkit
• Supported Framework: TensorFlow, Caffe, MXNET
• Complies with CE/FCC Class A

• 5 x Google Edge TPU ML accelerator
• 20 TOPS peak performance (int8)
• Host interface PCIe Gen2 x 4
• Low-profile PCIe form factor
• Support Multiple card
• Approximate 15W

• Intel® Movidius™ Myriad™ X VPU onboard
• Ultra compact, Low power consumption
• Hardware acceleration for common deep neural networks
• Scalable for multi video streams edge inference
• 10 times the performance compared to previous generation
• Intel® OpenVINO™ toolkit fully supported

• Intel® Movidius™ Myriad™ X VPU onboard
• Ultra compact, Low power consumption
• Hardware acceleration for common deep neural networks
• Scalable for multi video streams edge inference
• 10 times the performance compared to previous generation
• Intel® OpenVINO™ toolkit fully supported

Deep learning inference accelerating miniPCIe card with 2 x Intel® Movidius™ Myriad™ X MA2485 VPU, miniPCIe

• miniPCIe form factor (30 x 50 mm)
• 2 x Intel® Movidius™ Myriad™ X VPU MA2485
• Power efficiency ,approximate 7.5W
• Operating Temperature -20°C~60°C
• Powered by Intel’s OpenVINO™ toolkit