MSI GeForce RTX 5070 12G VENTUS 2X OC Graphics Card
MSI GeForce RTX 5070 12G VENTUS 2X OC Graphics Card
SKU:VCM-RTX507012GVENT2XOC
The MSI GeForce RTX 5070 12G VENTUS 2X OC is a high-performance graphics card designed for gaming, content creation, and professional workloads. Featuring 6144 CUDA cores, 12GB GDDR7 memory, and PCI Express Gen 5 support, it delivers exceptional performance for demanding applications.
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- 36 months Manufacturer Warranty
Product Information
| Brand | MSI |
|---|---|
| Category | Video/Graphics Cards |
| SKU | VCM-RTX507012GVENT2XOC |
| Availability | In Stock |
Overview
- The MSI GeForce RTX 5070 12G VENTUS 2X OC delivers cutting-edge graphics performance powered by NVIDIA's latest architecture. With 6144 CUDA cores and 12GB of GDDR7 memory, it excels at high-resolution gaming, real-time 3D rendering, and GPU-accelerated professional applications. The dual TORX FAN 5.0 cooling system with Zero Frozr technology ensures optimal thermal management and silent operation under light loads.
Built on the PCI Express Gen 5 interface, this card provides exceptional bandwidth for demanding workloads. The nickel-plated copper baseplate, core pipes, and metal backplate work together to efficiently dissipate heat, while DrMOS power stages deliver stable, low-loss power delivery. Support for DisplayPort 2.1b and HDMI 2.1b enables connectivity to next-generation displays, including 8K 120Hz monitors.
MSI's suite of software tools—MSI Center for real-time monitoring and Afterburner for overclocking—puts performance tuning in your hands. Whether you're pushing frame rates in competitive gaming, rendering complex visual effects, or accelerating machine learning workloads, the RTX 5070 VENTUS 2X OC delivers the performance and reliability professionals demand.
Specifications
| Graphics Processing Unit | NVIDIA GeForce RTX 5070 |
|---|---|
| CUDA Cores | 6144 |
| Memory | 12GB GDDR7 |
| Memory Bus | 192-bit |
| Memory Speed | 28 Gbps |
| Interface | PCI Express Gen 5 |
| Core Clock (Extreme Performance) | 2557 MHz |
| Boost Clock | 2542 MHz |
| Power Consumption | 250W |
| Power Connectors | 16-pin x1 |
| Recommended PSU | 650W |
| Display Outputs | DisplayPort 2.1b x3, HDMI 2.1b x1 |
| Maximum Displays | 4 |
| Maximum Resolution | 7680 x 4320 |
| HDCP Support | Yes |
| G-SYNC Support | Yes |
| DirectX Support | 12 Ultimate |
| OpenGL Support | 4.6 |
| Card Dimensions | 236 x 126 x 50 mm |
| Card Weight | 774g |
| Package Weight | 1149g |
| Cooling System | Dual TORX FAN 5.0 with Zero Frozr |
| Warranty | 36 months |
Key Features
Ideal For
FAQs
What is the power consumption of the RTX 5070 VENTUS 2X OC?
The RTX 5070 VENTUS 2X OC has a power consumption of 250W and requires a 16-pin power connector. MSI recommends a minimum 650W power supply for stable operation.
Does this card support 4K and 8K gaming?
Yes. The RTX 5070 supports 4K at up to 480Hz and 8K at up to 120Hz (with DSC) via HDMI 2.1b, and higher resolutions via DisplayPort 2.1b. Actual gaming frame rates depend on game settings and system configuration.
What cooling technology does the VENTUS 2X OC use?
The card features dual TORX FAN 5.0 fans with Zero Frozr technology, which stops the fans completely when temperatures are low for silent operation. A nickel-plated copper baseplate and core pipes manage heat efficiently.
Can I overclock this graphics card?
Yes. MSI includes Afterburner software, a widely-used overclocking utility that allows you to adjust core clocks, memory speed, and voltage. MSI Center also provides real-time monitoring and optimisation tools.
How many displays can I connect to this card?
The RTX 5070 VENTUS 2X OC supports up to four simultaneous displays via its three DisplayPort 2.1b and one HDMI 2.1b connectors.
What is the warranty period?
The MSI GeForce RTX 5070 12G VENTUS 2X OC comes with a 36-month warranty.
Is this card suitable for AI and machine learning workloads?
Yes. The RTX 5070's 6144 CUDA cores provide significant acceleration for NVIDIA CUDA-compatible applications, making it suitable for machine learning training, inference, and data science workloads.
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