RTX 2070 SUPER vs TITAN Xp

TuringvsPascalUpdated 35 days ago

The TITAN Xp is the clear winner for most compute workloads. 12.1 TFLOPS FP16/FP32, 12 GB VRAM, and 548 GB/s bandwidth enable faster training and larger models than the RTX 2070 SUPER's 9.1 TFLOPS, 8 GB, and 448 GB/s, outweighing the 215 W power savings.

Specifications Compared

SpecRTX-2070TITAN-XP
TDP175W250W
VRAM8 GB12 GB
CUDA Cores2,3043,840
Memory TypeGDDR6GDDR5X
ArchitectureTuringPascal
Form FactorsPCIePCIe
InterconnectNVLink
Tensor Cores288
FP16 Performance7.5 TFLOPS12.1 TFLOPS
FP32 Performance7.5 TFLOPS12.1 TFLOPS
Memory Bandwidth448 GB/s548 GB/s

Performance Analysis

Compute performance favors the TITAN Xp: its 12.1 TFLOPS in FP16 and FP32 outperforms the RTX 2070 SUPER's 9.1 TFLOPS by 33 percent. This delta accelerates neural network training and inference, where FP16 reduces memory usage and FP32 ensures precision in gradient computations.

Memory specifications impact real-world throughput. The TITAN Xp's 12 GB VRAM accommodates larger models or batch sizes than the RTX 2070 SUPER's 8 GB limit. Its 548 GB/s bandwidth, 22 percent higher than 448 GB/s, minimizes data transfer bottlenecks, supporting bigger batches in training without stalling.

Power efficiency tilts toward the RTX 2070 SUPER at 215 W, potentially lowering cloud costs by 14 percent per instance versus 250 W. However, TITAN Xp excels in raw FP16/FP32 workloads common to deep learning pipelines.

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When to Choose the RTX 2070 SUPER

The RTX 2070 SUPER excels in power-constrained environments. Its 215 W TDP consumes 14 percent less energy than the TITAN Xp's 250 W, ideal for dense cloud deployments or extended inference serving. Turing architecture adds tensor core support for optimized AI acceleration.

Select it for workloads fitting within 8 GB VRAM, such as lightweight fine-tuning or gaming ML tasks leveraging newer features.

When to Choose the TITAN Xp

Choose the TITAN Xp for memory-intensive applications. 12 GB VRAM handles models exceeding 8 GB capacities on the RTX 2070 SUPER, crucial for large-scale training. 12.1 TFLOPS FP16/FP32 delivers 33 percent faster performance.

Superior 548 GB/s bandwidth sustains high batch sizes, preventing throttling in data-heavy scenarios.

Use Cases

LLM Training
TITAN Xp

The TITAN Xp's 12 GB VRAM and 12.1 TFLOPS FP32 support larger LLMs and batch sizes than the RTX 2070 SUPER's 8 GB and 9.1 TFLOPS.

LLM Inference
TITAN Xp

Higher 12.1 TFLOPS FP16 speeds up inference throughput; 548 GB/s bandwidth handles concurrent requests better than 448 GB/s.

Fine-tuning
TITAN Xp

12 GB VRAM fits bigger fine-tuning datasets; 33 percent compute advantage over 9.1 TFLOPS reduces iteration times.

Stable Diffusion
TITAN Xp

12 GB VRAM enables higher-resolution generations without swapping; superior bandwidth avoids artifacts from memory limits.

Scientific Computing
RTX 2070 SUPER

RTX 2070 SUPER's 215 W TDP suits prolonged simulations; 9.1 TFLOPS suffices for FP32-heavy tasks within 8 GB VRAM.

Frequently Asked Questions

Which GPU has more VRAM, RTX 2070 SUPER or TITAN Xp?

The TITAN Xp has 12 GB GDDR5X VRAM, exceeding the RTX 2070 SUPER's 8 GB GDDR6. This advantage benefits large model training. Bandwidth also favors TITAN Xp at 548 GB/s over 448 GB/s.

Which is faster for FP32 compute?

TITAN Xp delivers 12.1 TFLOPS FP32, 33 percent higher than RTX 2070 SUPER's 9.1 TFLOPS. FP16 matches this gap. Expect quicker training runs on TITAN Xp.

What are the power consumption differences?

RTX 2070 SUPER uses 215 W TDP, 14 percent less than TITAN Xp's 250 W. Lower power reduces cloud billing. Both fit PCIe slots.

Is RTX 2070 SUPER better for modern AI tasks?

Turing architecture in RTX 2070 SUPER includes tensor cores for AI, absent in Pascal TITAN Xp. However, TITAN Xp's 12.1 TFLOPS outperforms 9.1 TFLOPS raw. Choose based on VRAM needs.

Can these GPUs be used for LLM training?

Both support LLM training via PCIe, but TITAN Xp's 12 GB VRAM handles larger models better than 8 GB. No NVLink limits multi-GPU scaling. No live offers on gpuperhour.com.

RTX 2070 SUPER vs TITAN Xp: which has higher memory bandwidth?

TITAN Xp achieves 548 GB/s, 22 percent above RTX 2070 SUPER's 448 GB/s. This aids high-batch training. GDDR5X vs GDDR6 affects latency slightly.

Which is cheaper to rent, the RTX 2070 or the TITAN Xp?

Cloud rental prices for both the RTX 2070 and TITAN Xp vary by provider, configuration, and availability. This page shows live pricing from 25+ providers updated every 60 seconds. Scroll to the Live Cloud Pricing section to compare current rates.

How much VRAM does the RTX 2070 have compared to the TITAN Xp?

The RTX 2070 has 8 GB of GDDR6 memory. The TITAN Xp has 12 GB of GDDR5X memory.

Can I find RTX 2070 and TITAN Xp GPUs available to rent right now?

Yes. This page shows real-time availability across 25+ cloud GPU providers. The Live Cloud Pricing section displays only in-stock offers with current pricing.

What is the main difference between the RTX 2070 and the TITAN Xp?

The RTX 2070 uses the Turing architecture (2018) while the TITAN Xp uses Pascal (2017). The TITAN Xp delivers 1.6x the FP16 throughput and 1.2x the memory bandwidth of the RTX 2070.