ASUS
SKU: PRIME-RTX5070-O12G-WHITE
Overview
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Overview
Questions about this product? Free pre-sales support from a senior specialist — product questions, compatibility checks, BOM quotes, price confirmation — typically answered within one business day. Need camera placement or system design work? Engineering time is $175 per hour (qty 1 = 1 hour). Hardware buyers get up to one hour ($175) credited back on their order.
The ASUS PRIME-RTX5070-O12G is a factory-overclocked GeForce RTX 5070 graphics card built around NVIDIA's Blackwell architecture, delivering 6144 CUDA cores and 12GB of GDDR7 memory across a 192-bit bus — configured specifically to fit small form factor workstations and compact rackmount deployments without sacrificing full-width PCIe 5.0 bandwidth. At 15.94 inches long and just 2.5 slots wide, it threads the needle between compute density and chassis compatibility in ways that most dual-slot cards in this class cannot.
For GPU and graphics card buyers evaluating AI inference, video analytics acceleration, or dense compute deployments, the PRIME-RTX5070-O12G lands at a practical intersection: enough VRAM and memory bandwidth for serious workloads, paired with a physical footprint that doesn't require a full tower or a 4U chassis.
The PRIME-RTX5070-O12G fits standard PCIe 5.0 x16 slots and is backward compatible with PCIe 4.0 and PCIe 3.0 slots at reduced bandwidth. At 3.69 lb and a 2.5-slot profile, it is rated for SFF workstation platforms and compact chassis — validate PSU connector availability (typically 16-pin 12VHPWR for this card class) and chassis clearance at 15.94 inches before racking. For AI inference and video analytics acceleration servers, pair with a platform providing PCIe 5.0 lanes and adequate CPU-to-memory bandwidth to avoid upstream bottlenecks. The four display outputs (HDMI 2.1b + 3× DP 2.1b) are compatible with standard multi-monitor operator consoles used in security operations centers and command-and-control environments. For NVR or VMS GPU-acceleration deployments, reference your NVR or VMS vendor's GPU compatibility list to confirm driver support on your target OS.
Q: What PCIe generation does the PRIME-RTX5070-O12G require, and is it backward compatible?
A: The PRIME-RTX5070-O12G uses a PCIe 5.0 x16 interface. It is backward compatible with PCIe 4.0 and PCIe 3.0 slots at reduced bandwidth — sufficient for many workloads, though high-throughput data pipeline applications benefit from a native PCIe 5.0 slot.
Q: How many monitors can the PRIME-RTX5070-O12G drive simultaneously?
A: Up to 4 displays simultaneously — 1x HDMI 2.1b and 3x DisplayPort 2.1b, all supporting up to 7680×4320 (8K) resolution. Suitable for multi-monitor operator stations and video wall control rooms.
Q: Does the PRIME-RTX5070-O12G fit in a small form factor chassis?
A: Yes. It is explicitly rated SFF-ready at 2.5 slots wide and 15.94 inches long. However, verify your specific chassis slot clearance — 2.5-slot cards still require physical 3-slot spacing in most enclosures. Weight is 3.69 lb.
Q: What is the memory configuration on the PRIME-RTX5070-O12G?
A: 12GB GDDR7 on a 192-bit memory bus at 28 Gbit/s data transfer rate. This provides higher memory bandwidth than GDDR6X at the same bus width, which benefits AI inference, batch video decode, and large model inference tasks.
Q: What is the GPU boost clock speed on the PRIME-RTX5070-O12G?
A: The standard boost clock is 2557 MHz. In OC (overclocked) mode via the Dual BIOS, it runs at 2587 MHz. The Dual BIOS also allows switching to a quieter acoustic profile without reflashing firmware.
Q: Is the PRIME-RTX5070-O12G suitable for GPU-accelerated VMS or AI video analytics workloads?
A: The 6144 CUDA cores and 12GB GDDR7 make it suitable for AI inference and multi-stream video analytics acceleration. Confirm GPU support with your specific VMS or analytics platform vendor, as driver compatibility varies by software stack.

The PRIME-RTX5070-O12G is the card I'd specify for an integrator building a compact AI-accelerated VMS server where PCIe 5.0 bandwidth and VRAM ceiling both matter. The 12GB GDDR7 at 28 Gbit/s on a 192-bit bus is the spec that actually moves the needle — not the clock speed — because inference workloads stall on memory bandwidth before they stall on compute once you're running simultaneous model inference across a high-channel-count camera system.
Technical Highlights:
Deployment Considerations:
Best fit: a short-depth 2U or compact tower AI inference server running a GPU-accelerated VMS or video analytics platform where slot count is limited and PCIe 5.0 bandwidth is available — the PRIME-RTX5070-O12G delivers the full RTX 5070 compute envelope without forcing a chassis upgrade to accommodate a 3-slot card.
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