RTX 2070 vs 2070 Super vs 2080 Super: Comparison + RTX 2070 Super vs 3060

RTX 2070 vs 2070 Super vs 2080 Super: Comparison + RTX 2070 Super vs 3060

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RTX 2070 vs 2070 Super vs 2080 Super: Comparison + RTX 2070 Super vs 3060

Short answer: RTX 2070 Super offers a clear uplift over RTX 2070 in cores and clocks, while RTX 2080 Super steps further with even more cores and bandwidth. Compared to RTX 3060, the 2070 Super generally wins in raw performance and bandwidth—but the 3060 brings more VRAM and newer architecture support important features with better long‑term driver support.

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How do RTX 2070, RTX 2070 Super, and RTX 2080 Super compare at a glance?

Here’s a quick spec and performance comparison of the three GTX 20‑series cards:

fce gpus rtx 20 super comparison fig1 1788454833
ModelCUDA CoresBase / Boost (MHz)MemoryMemory BandwidthTDP
RTX 20702304 ~1410 / 17108 GB GDDR6448 GB/s175 W
RTX 2070 Super2560~1605 / 17708 GB GDDR6448 GB/s215 W
RTX 2080 Super3072~1650 / 18158 GB GDDR6≈499 GB/s250 W

Data compiled from official NVIDIA specs and trusted reviews ensure accuracy. ([nvidia.com](https://www.nvidia.com/en-us/geforce/graphics-cards/compare/?utm_source=openai))

What’s the impact of these specs?

  • Cores and clocks: The 2070 Super adds ~11% more shader cores and higher clock speeds than the 2070, translating to roughly 10–15% real‑world gaming gains. ([tech4gamers.com](https://tech4gamers.com/rtx-2070-vs-rtx-2070-super/))
  • 2080 Super advantage: With ~20% more cores over the 2070 Super and significantly higher memory bandwidth, it delivers a solid bump in high‑resolution and ray‑tracing performance. ([pcgamer.com](https://www.pcgamer.com/the-best-graphics-cards))
  • Power draw: Expect 215 W for the 2070 Super and 250 W for the 2080 Super—plan for a robust power supply and cooling. ([tomshardware.com](https://www.tomshardware.com/reviews/nvidia-geforce-rtx-2060-super-geforce-rtx-2070-super%2C6207.html))

RTX 2070 Super vs RTX 3060: which is the better buy today?

RTX 3060 (Ampere‑based) and RTX 2070 Super (Turing‑based) differ in many areas—not just spec sheets:

  1. Performance: Benchmarks reveal the 2070 Super outpaces the RTX 3060 by ~12% in 1080p gaming scenarios like Cyberpunk 2077. ([tech4gamers.com](https://tech4gamers.com/2070-super-vs-3060/))
  2. Process node and tech: 3060 uses newer Samsung 8 nm node vs 12 nm for the 2070 Super—but the older card has more RT and Tensor cores, which often wins in raw RT and compute workloads. ([tech4gamers.com](https://tech4gamers.com/2070-super-vs-3060/))
  3. VRAM: 3060 offers 12 GB vs 8 GB on 2070 Super. That extra memory is valuable in high‑res textures or future games—3060 has a longevity edge here. ([tech4gamers.com](https://tech4gamers.com/2070-super-vs-3060/))
  4. Clocks and memory bandwidth: Boost clock is similar (~1770 MHz), memory bandwidth is slightly higher on 2070 Super due to its 256‑bit bus. ([tech4gamers.com](https://tech4gamers.com/2070-super-vs-3060/))
  5. Value: Second‑hand 2070 Super can deliver ~50% better performance per dollar than new 3060, but availability and pricing vary—verify before buying. ([tech4gamers.com](https://tech4gamers.com/2070-super-vs-3060/))

Bottom line: choose 2070 Super if raw frame rates and bandwidth matter most and used‑card risk is acceptable. Choose 3060 if you need extra VRAM, newer architecture support, and buy‑new peace of mind.

fce gpus rtx 20 super comparison fig2 1788454868

Side‑by‑side comparison

FeatureRTX 2070 SuperRTX 3060
ArchitectureTuring (12 nm)Ampere (8 nm)
CUDA / RT / Tensor2560 / 40 / 3203584 / 28 / fewer
VRAM8 GB GDDR612 GB GDDR6
Memory Bandwidth~448 GB/s~360 GB/s
Gaming Performance~12% faster 1080p averageStronger for future memory needs
Power~215 W~170 W

Who should consider which GPU?

  • RTX 2070 Super: Best if used‑card deals offer savings, you want higher FPS in current titles, and your PSU/cooling can handle higher TDP.
  • RTX 3060: Choose if you need longer‑term VRAM headroom, newer driver updates, and want a card you can buy new with warranty.
  • RTX 2080 Super: Only consider if you find one used at a small premium over 2070 Super—offers more cores and bandwidth, but still 8 GB VRAM and high power draw.

Frequently Asked Questions

Will RTX 3060 outperform RTX 2070 Super in ray tracing?

The RTX 2070 Super has more RT cores (40 vs 28), so in non‑DLSS ray‑tracing loads it often renders better, despite newer architecture on the 3060. But DLSS performance may favor 3060’s newer AI cores.

Is 8 GB VRAM on 2070 Super a problem in 2026?

For 1080p and 1440p it’s usually fine, but 12 GB on 3060 gives more headroom for high‑res textures, mods, or future titles—so VRAM pressure is a valid concern.

How much cheaper is a used RTX 2070 Super today?

It varies wildly—some deals offer 50% better performance per dollar, but pricing depends on supply and condition. Always verify current second‑hand rates in your market before committing.

Does power draw matter for these cards?

Yes. RTX 2070 Super’s 215 W and 2080 Super’s 250 W require robust PSU (≥650 W) and cooling; RTX 3060’s 170 W is easier to accommodate.

Can 3060’s drivers be better supported longer?

Typically yes—NVIDIA continues optimizing Ampere with game-ready drivers, which may give 3060 a longevity edge in compatibility and features.

About the Author

cloudgpuhub.com – Nhon Dang is a cloud infrastructure and operations professional with over 10 years of hands‑on experience in cloud services, infrastructure, and business operations. His expertise spans the design, deployment, and operation of cloud platforms and managed services, including virtual machines (VMs), Kubernetes (K8s), object storage (S3), managed databases, Apache Kafka, and cloud GPU infrastructure.

Throughout his career, Nhon has worked closely with cloud infrastructure and service operations, gaining practical experience in building reliable, scalable, and cost‑efficient cloud environments. His work combines technical expertise with business and operational insight, giving him a practical perspective on how cloud technologies perform in real‑world production environments.

Nhon writes about cloud infrastructure, Kubernetes, DevOps, distributed systems, cloud computing, infrastructure operations, and cloud service management, sharing insights based on hands‑on experience rather than purely theoretical knowledge.

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