ASUS RTX3050-O6G-LP-BRK
Low-profile GeForce RTX 3050 graphics card carrying 6GB of GDDR6 memory — purpose-built for slim-chassis workstations and 1U/2U rack servers where a
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The ASUS DUAL-RTX3050-6G is a compact dual-fan discrete graphics card built around NVIDIA's GeForce RTX 3050 GPU with 6GB of GDDR6 memory. At 11.90 x 8.70 x 2.20 inches and 1.55 lb, it fits a wide range of workstation and tower chassis without demanding the slot footprint of larger cards — relevant when you're integrating GPU acceleration into a surveillance workstation or video analytics server with real physical constraints. The 6GB frame buffer paired with a 96-bit GDDR6 bus running at 14 Gbit/s delivers enough bandwidth for multi-stream video decoding and lightweight AI inference tasks without the cost and power draw of a mid-to-high tier GPU.
The DUAL-RTX3050-6G connects via PCI Express 4.0 x16 and is backward-compatible with PCIe 3.0 and 2.0 motherboards. NVIDIA driver support covers Windows 10/11 and major Linux distributions, enabling integration with NVIDIA-accelerated VMS platforms and transcoding software stacks. The RTX 3050 architecture includes NVENC and NVDEC hardware encode/decode engines, which most enterprise VMS platforms — including those relying on NVIDIA's Video Codec SDK — can leverage to offload stream processing from the host CPU. Verify your VMS vendor's GPU acceleration compatibility matrix before procurement, as acceleration support varies by VMS version and codec profile. The card requires a PCIe power connector; confirm your workstation PSU provides the necessary connector before specifying this in a system build.
Q: What are the physical dimensions of the DUAL-RTX3050-6G and will it fit a standard tower workstation?
A: The DUAL-RTX3050-6G measures 11.90 x 8.70 x 2.20 inches (L x W x H) and weighs 1.55 lb. It occupies two expansion slots. Most standard ATX and mid-tower workstation chassis accommodate this size without modification, but verify your chassis clearance for card length (11.90 inches) before ordering.
Q: How much VRAM does the DUAL-RTX3050-6G have, and is it sufficient for AI-based video analytics?
A: The card carries 6GB of GDDR6 memory. For lightweight AI inference tasks — object detection on 4–8 concurrent camera streams — 6GB is generally adequate. For dense multi-stream deployments running larger deep learning models (16+ channels with simultaneous inference), consider a GPU with 8GB or more VRAM to avoid memory pressure.
Q: What display outputs does the DUAL-RTX3050-6G provide?
A: It has one HDMI 2.1 port (supporting up to 7680x4320 / 8K resolution), one DisplayPort, and one DVI-D port — supporting up to three simultaneous displays.
Q: Is the DUAL-RTX3050-6G compatible with PCIe 3.0 motherboards?
A: Yes. The card is PCIe 4.0 native but backward-compatible with PCIe 3.0 and 2.0 motherboard slots. Performance in a PCIe 3.0 system will be limited by that interface's bandwidth ceiling, though for typical VMS and analytics workloads this is rarely the bottleneck.
Q: What is the memory bus width and data transfer rate of the DUAL-RTX3050-6G?
A: The memory interface is 96-bit with GDDR6 running at 14 Gbit/s, yielding approximately 168 GB/s of memory bandwidth. This is a narrower bus than higher-tier RTX cards, so it is a consideration in workloads that are memory-bandwidth-bound rather than compute-bound.

The DUAL-RTX3050-6G is a card I'd pick for a surveillance workstation where you need GPU-accelerated decode offload and a multi-monitor operator display without occupying a high-wattage slot in a rack-mount chassis. The 2304 CUDA cores and 6GB GDDR6 hit a practical sweet spot for NVDEC-assisted stream decode — you're pulling CPU utilization down meaningfully on a 16–24 camera station without committing to the cost and thermal footprint of an RTX 4060 or above.
Technical Highlights:
Deployment Considerations:
Best fit: a 16–24 channel surveillance workstation or an analytics edge node where GPU-accelerated NVDEC decode and a three-monitor operator display are the primary requirements, and slot space or chassis thermals rule out a higher-tier discrete GPU.
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