PXIe-GPU Compute & Graphics

PXIe-GPU Family of Products

RADX PXIe-GPUs bring the easy-to-program power of NVIDIA® Professional GPUs to PXIe for accelerated graphics, video, image, signal & data processing and ML / DL / LLM training & inference applications.

RADX PXIe-GPU Family

Easy-to-Program

LabVIEW, MATLAB, Python & C/C++ with CUDA®, OpenCL® & Tensor Core acceleration

Signal & Image Processing

1.0 to 91.1 FP32 TFLOPS — up to 100×–200× vs. Xilinx KU060 FPGAs and popular PXIe ECs

HW Video Encode / Decode

NVENC/NVDEC engines for real-time 2K/4K/8K video compression at up to 100× CPU CODEC performance

AI / ML / DL / LLM

Up to ~200× inference & training performance versus embedded controller CPUs

Wide Chassis Support

GPUs available for 38W to 72W/slot PXIe chassis — eliminates the need for separate GPU servers

2D / 3D Graphics

Up to ~200× higher graphics performance vs. embedded controller GPUs

NVIDIA RTX A1000 · ADA RTX 2000/4000 SFF · BLACKWELL RTX PRO 2000/4000 SFF · L4 DC

Catalyst PXIe-GPU

Ampere → Ada → Blackwell GPU compute acceleration for all PXIe/CPCIe chassis

1.0–30.3 FP32 TFLOPS8–24 GB GDDR6/750–72 W TGPPCIe Gen 4 ×16

COTS PXIE EGPU & PCIE-TO-PXIE SUBSYSTEM

Orca-C2X PXIe-GPU

Extreme performance FHFL GPUs in any PXIe system — no Thunderbolt required

Up to 91.1 TFLOPS (Ada RTX 6000)>7.5 GB/s Full Duplex<200 ps LatencyUp to 500W PCIe AIC

BAA / TAA Compliant. GSA Available.

All RADX PXIe modules are COTS products that are designed and assembled in the USA and available on GSA from TestMart.