ASUS
SKU: PRIME-RTX5070TI-O16G
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-RTX5070TI-16G puts NVIDIA's GeForce RTX 5070 Ti GPU into a 2.5-slot, SFF-ready package that fits compact workstation builds without sacrificing the full 16GB GDDR7 memory configuration. If you're specifying AI inference workstations, GPU-accelerated video analytics servers, or dense compute nodes where chassis space is a real constraint, this card threads the needle between workstation-class performance and physical footprint. The PCIe 5.0 x16 interface ensures you're not leaving bandwidth on the table when paired with a current-generation platform.
The PRIME-RTX5070TI-16G connects via PCIe 5.0, so it requires a host platform with a PCIe 5.0 x16 slot for full bandwidth — PCIe 4.0 motherboards will accept the card electrically but cap the interconnect at Gen 4 speeds. The card also exposes an Ethernet interface alongside the PCIe bus, which may be leveraged for management or direct NIC functionality depending on platform configuration; verify with your system integrator if this is a deployment requirement.
With four display outputs across HDMI 2.1b and DisplayPort 2.1b, the card integrates directly into discrete graphics card workflows that demand multi-monitor output at 4K or 8K. For AI compute workstations and GPU-accelerated edge servers, the 8,960 CUDA cores and 16GB GDDR7 frame rate handle parallel inference pipelines from network video recorders and video analytics platforms. Consult your GPU selection guide to match VRAM requirements against your inference model sizes before committing to this SKU. If your chassis supports it, pairing with a high-airflow workstation cooling solution will help sustain boost clocks under sustained GPU compute loads at the card's 4.05 lb operating weight.
Q: Will the PRIME-RTX5070TI-16G fit in a standard small form factor (SFF) chassis?
A: Yes. ASUS explicitly rates this card as SFF-ready. Its 2.5-slot, 16.00 x 9.60 x 3.80 inch footprint is designed to fit compact chassis, but always verify your case's maximum GPU length and slot clearance before ordering.
Q: Does the PRIME-RTX5070TI-16G require a PCIe 5.0 motherboard?
A: The card uses a PCIe 5.0 interface. It will physically seat in PCIe 4.0 slots via backward compatibility, but the interconnect will operate at Gen 4 bandwidth. For full Gen 5 throughput, a PCIe 5.0 x16 slot is required.
Q: How many monitors can I connect to the PRIME-RTX5070TI-16G?
A: Up to four displays simultaneously — one via HDMI 2.1b and three via DisplayPort 2.1b. Maximum supported resolution is 7680 x 4320 (8K) per output.
Q: How much does the PRIME-RTX5070TI-16G weigh, and what are its dimensions?
A: The card weighs 4.05 lb and measures 16.00 x 9.60 x 3.80 inches (L x W x H). Account for this weight when evaluating riser card or vertical GPU mount configurations.
Q: Is the PRIME-RTX5070TI-16G suitable for AI inference or GPU-accelerated video analytics?
A: The 8,960 CUDA cores and 16GB of GDDR7 VRAM on a 256-bit bus make it a capable choice for GPU-accelerated inference workloads. Validate that your inference framework (e.g., TensorRT, CUDA-based VMS analytics engines) supports the RTX 5070 Ti architecture before deployment.
Q: Does the PRIME-RTX5070TI-16G support VR?
A: Yes, it is VR-ready per the published specifications, meeting the hardware requirements for VR workloads including simulation, training, and immersive visualization applications.

The PRIME-RTX5070TI-16G is one of the more practical SFF-ready RTX 5070 Ti options I've specced for dense compute builds — the 2.5-slot profile is the headline, but the 256-bit GDDR7 bus running at 28 Gbit/s is what actually changes the math on multi-stream inference throughput compared to narrower-bus alternatives at the same VRAM capacity.
Technical Highlights:
Deployment Considerations:
For GPU-accelerated edge AI appliances in surveillance operations centers — where chassis depth is limited, multiple 4K feeds need simultaneous processing, and the system runs 24/7 — the PRIME-RTX5070TI-16G's SFF profile and GDDR7 bandwidth make it a logical fit over a full 3-slot card that may not physically install.
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