ASUS PRIME-RTX5080-16G *vendor EOL - Replaced by PRIMERTX5080O16* the SFF-Ready ASUS Prime GeForce

ASUS PRIME-RTX5080-16G GeForce RTX 5080 16GB GDDR7 Graphics Card

Overview

The ASUS PRIME-RTX5080-16G is a full-performance discrete graphics card built around NVIDIA's GeForce RTX 5080 GPU, delivering 10,752 CUDA cores, 16GB of GDDR7 memory on a 256-bit bus, and a PCIe 5.0 interface in a compact 2.5-slot, SFF-ready form factor. At 15.94 x 9.17 x 3.48 inches and 4.39 lb, it fits workstations and compact tower builds where space is constrained but compute headroom cannot be compromised. If you're specifying a GPU-accelerated video analytics server, AI inference node, or high-throughput decode workstation, the PRIME-RTX5080-16G lands in the relevant tier.

Key Features

• 10,752 CUDA Cores on GeForce RTX 5080: NVIDIA's RTX 5080 architecture provides substantial parallel compute throughput — relevant for real-time AI inference workloads, multi-stream video decode, and deep learning analytics pipelines that would saturate a mid-range card. This is not a workstation-class Quadro/RTX Pro part, but the CUDA core count puts it well above consumer mid-range options for batch inference tasks.
• 16GB GDDR7 on 256-bit Bus at 30 Gbit/s: 16GB of on-card memory at 30 Gbit/s transfer rate means large model weights and frame buffers load and stay resident without constant host-to-device transfers. For video analytics deployments running multiple simultaneous streams, the memory bandwidth prevents the stall conditions that lower-bandwidth cards hit under sustained load.
• PCIe 5.0 Interface: PCIe 5.0 doubles the available host-to-card bandwidth over PCIe 4.0. In practice this matters most when the CPU is continuously feeding compressed video streams to the GPU for decode — reduced bus contention means more consistent throughput under bursty multi-camera workloads.
• 2617 MHz Boost Clock: The factory boost target of 2617 MHz keeps sustained GPU frequency high under thermal load, which translates to more consistent per-frame inference latency rather than clock-throttle spikes that disrupt real-time processing pipelines.
• SFF-Ready 2.5-Slot Design (15.94 x 9.17 x 3.48 in): The 2.5-slot profile and SFF form factor designation mean this card was designed to fit in small-form-factor chassis that conventional 3-slot or 4-slot AIB cards cannot. For rack-adjacent or desktop workstations in cramped surveillance server rooms, the physical fit is a real selection criterion.
• 4-Display Output — 1x HDMI 2.1b + 3x DisplayPort 2.1b: Four simultaneous outputs at up to 7680x4320 (8K) resolution per display. For a video wall operator station or a command center running multiple 4K monitors off a single workstation, this eliminates the need for a secondary display adapter.
• Vapor Chamber Cooling: ASUS specifies a vapor chamber rather than conventional heatpipe stack — vapor chambers provide more uniform heat spreading across the die, which matters for sustained GPU boost maintenance in fanless or restricted-airflow chassis common in rack-mounted server environments.
• Dual BIOS: Two BIOS profiles allow switching between performance and silent/power-saving modes without reflashing. In a 24/7 analytics server context, the ability to trade some clock headroom for reduced fan noise and power draw is a useful operational toggle.
• Axial-Tech Fan Array: ASUS's Axial-tech fan design increases blade count and barrier ring stiffness for higher static pressure — relevant in enclosed workstation cases where back-pressure from restricted airflow would cause conventional fans to stall or reduce RPM significantly.
• PCIe + Ethernet Interface: Beyond the PCIe slot, the card exposes an Ethernet interface — enabling direct network connectivity for specific high-bandwidth data transfer scenarios without routing through the host CPU's NIC stack.

Integration and Compatibility

The PRIME-RTX5080-16G connects via PCIe 5.0 x16 and is backward-compatible with PCIe 4.0 and 3.0 slots at reduced bandwidth. Verify motherboard slot clearance against the 15.94-inch card length before specifying — this is a full-length card and will not fit in micro-ATX or ITX builds without explicit chassis compatibility. The SFF-ready designation applies to specific SFF chassis with documented long-card support, not all small-form-factor cases. The card does not carry NVIDIA's professional Quadro/RTX Pro designation, so enterprise ISV certifications for CAD, simulation, or medical imaging software that require a certified workstation GPU do not apply here. For AI inference, video decode, and security analytics applications that rely on CUDA compute rather than ISV certification, the hardware capability is equivalent. Maximum of four concurrent displays; the card does not support five or more heads from a single card.

Frequently Asked Questions

Q: What is the physical size of the PRIME-RTX5080-16G and will it fit in my workstation chassis?

A: The PRIME-RTX5080-16G measures 15.94 x 9.17 x 3.48 inches (L x W x H) and occupies 2.5 expansion slots. It is rated SFF-ready, but verify your chassis supports full-length (approximately 16-inch) cards before ordering. Not all small-form-factor cases accommodate this length.

Q: How many monitors can the PRIME-RTX5080-16G drive simultaneously?

A: Up to four displays simultaneously — one via HDMI 2.1b and three via DisplayPort 2.1b. Maximum output resolution per display is 7680x4320 (8K). A fifth display would require a second card or a display hub.

Q: Is the PRIME-RTX5080-16G suitable for AI video analytics workloads?

A: Yes, the hardware supports CUDA-based compute with 10,752 CUDA cores and 16GB GDDR7 memory. It is a consumer GeForce card, not a professional Quadro/RTX Pro part, so enterprise ISV driver certifications do not apply. For CUDA-dependent analytics software, the compute capability is substantial.

Q: What PCIe generation does the PRIME-RTX5080-16G require?

A: The card is natively PCIe 5.0 x16, which provides the highest bandwidth. It is electrically compatible with PCIe 4.0 and 3.0 slots at reduced bandwidth. For compute-intensive sustained workloads, a PCIe 5.0 motherboard slot is recommended to avoid bus saturation.

Q: What is the weight of the PRIME-RTX5080-16G?

A: The card weighs 4.39 lb. For vertical PCIe slot installations, consider a GPU support bracket to prevent long-term slot stress from card sag given the card length and weight.

Ted Perry

The PRIME-RTX5080-16G is the card I'd reach for when specifying a GPU-accelerated analytics workstation that needs to fit inside an SFF chassis — the 2.5-slot, 15.94-inch profile is as compact as this class of GPU gets, and 16GB GDDR7 at 30 Gbit/s is more than enough headroom to run multiple concurrent deep learning inference streams without the memory thrashing you see on 8GB or 12GB alternatives.

Technical Highlights:

• 256-bit GDDR7 Memory Bus at 30 Gbit/s: This is the spec that determines sustained throughput under multi-stream load. A narrower bus or slower memory type would create a decode bottleneck well before the CUDA cores are saturated — at 30 Gbit/s you're unlikely to hit that ceiling in a 64-camera analytics node.
• 10,752 CUDA Cores at 2617 MHz Boost: The core count gives you enough parallel lanes to run object detection, classification, and re-identification simultaneously rather than serializing them — important if your VMS or analytics platform runs inference per-stream in parallel threads.
• Vapor Chamber Thermal Solution: In a server room or rack-adjacent closet where ambient temperatures run 30–35°C and airflow is restricted, a vapor chamber maintains more uniform die temperatures than heatpipes. That directly supports sustained boost clock maintenance — you get 2617 MHz under load rather than dropping to base clock after 20 minutes.

Deployment Considerations:

• Verify chassis clearance against the full 15.94-inch card length before ordering. SFF-ready does not mean universally compatible — pull the chassis QVL or physically measure your slot-to-obstruction distance. The 4.39 lb weight also warrants a GPU support brace in horizontal PCIe slot installations.
• This is a GeForce consumer part, not Quadro/RTX Pro. If your analytics ISV lists only certified workstation GPU models in their compatibility matrix, validate with the ISV before deploying — CUDA compute will function, but the driver certification status differs.

For a compact GPU-accelerated analytics server running a CUDA-based VMS backend across 32–64 IP camera streams — particularly in space-constrained edge deployments where a full 3-slot card is physically ruled out — the PRIME-RTX5080-16G is a well-matched specification.