The ZOTAC GAMING GeForce RTX 5070 Twin Edge OC White Edition is a compact graphics card powered by NVIDIA‘s cutting edge Blackwell Architecture, DLSS4 and 12GB of GDDR7 memory. Compact yet powerful, the Twin Edge OC White Edition is ready to take on both gaming and AI workloads with its impressive performance.
Feature Highlights:
- Powered by the NVIDIA Blackwell architecture and DLSS 4
- NVIDIA SFF-Ready Enthusiast GeForce Card
- Compact dual-fan form factor
- IceStorm 2.0 Cooling
- BladeLink Fans
- FREEZE Fan Stop
- Metal Backplate
- Power Safety Light
- All-new FireStorm Utility
NVIDIA Blackwell Architecture
The Ultimate Platform for Gamers and Creators
Fifth-Gen Tensor Cores
Max AI performance with FP4 and DLSS 4New Streaming Multiprocessors
Optimized for neural shadersFourth-Gen Ray Tracing Cores
Built for Mega Geometry
AI-Enhanced Graphics and Performance
NVIDIA DLSS 4 with Multi Frame Generation
Game-Winning Responsiveness
NVIDIA Reflex 2 with Frame Warp
True-to-Life Graphics
Full ray tracing with neural rendering
Digital Humans and AI Assistants
NVIDIA ACE
Accelerate Your Creativity
NVIDIA Studio creator tools and technology
Enhance Any Video with AI
NVIDIA Broadcast and ninth-gen NVIDIA Encoder
Performance and Reliability
NVIDIA app with Game Ready and Studio Drivers and Studio Drivers
The Ultimate Gaming Display Technologies
NVIDIA G-SYNC
RTX. It’s On.
The Ultimate in Ray Tracing and AI
RTX is the most advanced platform for full ray tracing and neural rendering technologies that are revolutionizing the ways we play and create. Over 700 games and applications use RTX to deliver realistic graphics and incredibly fast performance with cutting-edge AI features like DLSS Multi Frame Generation.
Full Ray Tracing with Neural Rendering
Game-Changing Realism
The NVIDIA Blackwell architecture unlocks the game-changing realism of full ray tracing. Experience cinematic quality visuals at unprecedented speed powered by GeForce RTX 50 Series with fourth-gen RT Cores and breakthrough neural rendering technologies accelerated with fifth-gen Tensor Cores.
