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July 2025
C2X-G4x8-500W-eGPU-AdaRTX6000
RADX C2X-G4x8-500W-eGPU-AdaRTX6000, 48 GB Memory, 960 GB/Sec Bandwidth, Orca-C2X PXIe-GPU Module
Actual item may vary if no part number is provided on quote request.
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" Amazing to work with and had my order within 1 week after purchasing with all NI certs and data that were needed. "
March 2025
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" Competent contact for highly specialized components. The support team is very knowledgeable. Many thanks for the help and the fast shipping! "
January 2025
Bob C**** Verified Buyer
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May 2025
Gregg Flecki**** Verified Buyer
" Great service and great products. This is my 2nd time using Apex Waves, truly impressed. "
January 2025
Carol Zimme**** Verified Buyer
" Very responsive and helpful, competitive pricing. Good source! "
July 2025
Andrew Gar**** Verified Buyer
" Amazing to work with and had my order within 1 week after purchasing with all NI certs and data that were needed. "
March 2025
Said Sai**** Verified Buyer
" Competent contact for highly specialized components. The support team is very knowledgeable. Many thanks for the help and the fast shipping! "
January 2025
Bob C**** Verified Buyer
" Jason was able to get our emergency situation taken care of quickly and professionally. "
May 2025
Gregg Flecki**** Verified Buyer
" Great service and great products. This is my 2nd time using Apex Waves, truly impressed. "
January 2025
RADX Technologies C2X-G4x8-500W-eGPU-AdaRTX6000 Orca-C2X PXIe-GPU Module
Part number C2X-G4x8-500W-eGPU-AdaRTX6000 from RADX Technologies is an external GPU (eGPU) expansion system that is designed to bring professional-grade computation, RT visualization, and signal processing capabilities directly to a standard PXIe chassis. This high performance device utilize the Ada RTX 6000 GPU from NVIDIA, which offers 48 GB of GDDR6 memory on a 384-bit bus.
The powerful GPU delivers a massive memory bandwidth of 960 GB/Sec. It is equipped with 18,176 CUDA cores, 142 Ray Tracing (RT) Cores (Gen 3), and 568 Tensor Cores (Gen 4). The CUDA cores have 91.1 FP31 TFLOPS, while the Tensor cores have 364.4 TF32 TFLOPS.
This PXIe-GPU module features dedicated video processing engines, accomplishing multi-stream processing in real-time with three eighth-generation NVENC encoding codecs and three fifth-generation NVDEC decoding codecs. In terms of power, the C2X-G4x8-500W-eGPU-AdaRTX6000 requires a modest 15 W of power per slot. It utilizes a 500 W external power supply and a passive aluminum heat sink that requires an airflow of about 152 LFM.
Windows 10, Windows 11, Linux (Desktop), and Linux (NI Real-Time) are all operating systems that the module is compliant with. It also offers support for major software frameworks such as Python, MATLAB, LabVIEW, and more!
The single-slot, 3U PXIe form factor of this module measures 100 mm x 160 mm x 20.32 mm (3.94 in x 6.30 in x 0.80 in.) in physical dimensions, and it weighs approximately 0.4 kg (0.7 lbs). While being used, the PXIe-GPU module should be operated in environments where the temperature stays within the range of 0° C to 55° C. This operational environment should have a noncondensing relative humidity of 10% to 90%. When not in use, the storage environment should stay within the temperature range of -40° C to 85° C.
Designed and assembled within the United States, the C2X-G4x8-500W-eGPU-AdaRTX6000 is compliant with both the BAA (Buy American Act) and the Trade Agreements Act (TAA). It is available from authorized distributor Apex Waves!
| Model | C2X-G4x8-500W-eGPU-AdaRTX6000 |
|---|---|
| Manufacturer | RADX |
| Part Type | RADX Catalyst & ORCA-C2X PXIeGPU |
| NVIDIA RTX GPU | Ada RTX 6000 |
| GDDR6 / 7 | 48 GB, 960 GBPS |
| TFLOPS | 91.1 FP32, 364.4 TF32 |
| CUDA RT-Tensor Cores | 18,178 |
| RT Cores | 142 |
| Tensor Cores | 568 |
| NVENC | 3 x G8 |
| NVDEC | 4 x G5 |
| Max W/Slot | ~15 W |
| Operating Temp Range | 0° C to 55° C |
| Storage Temp Range | -40° C to 85° C |
| Relative Humidity | 10% to 90% (Noncondensing) |
| Dimensions | 100 mm x 160 mm x 20.32 mm (3.94 in x 6.30 in x 0.80 in.) |
| Weight | 0.4 kg (0.7 lbs) |
| Distributor | Apex Waves |
Associated part numbers for C2X-G4x8-500W-eGPU-AdaRTX6000:
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