RTX 4070 SUPER vs TITAN Xp

Ada LovelacevsPascalUpdated 35 days ago

The RTX 4070 SUPER emerges as the winner for common AI use cases. Its 35.5 TFLOPS FP16 and FP32 performance surpasses the TITAN Xp's 12.1 TFLOPS by nearly three times, paired with a more efficient 220 W TDP versus 250 W.

RTX 4070 SUPER from $0.50/hr

Specifications Compared

SpecRTX-4070TITAN-XP
TDP200W250W
VRAM12 GB12 GB
CUDA Cores5,8883,840
Memory TypeGDDR6XGDDR5X
ArchitectureAda LovelacePascal
Form FactorsPCIePCIe
Interconnect
Tensor Cores184
FP16 Performance29.1 TFLOPS12.1 TFLOPS
FP32 Performance29.1 TFLOPS12.1 TFLOPS
INT8 Performance466 TOPS
Memory Bandwidth504 GB/s548 GB/s

Performance Analysis

Compute capabilities define the primary gap: the RTX 4070 SUPER delivers 35.5 TFLOPS in FP16 and FP32, over 2.9 times the TITAN Xp's 12.1 TFLOPS. This accelerates training and inference workloads, reducing epoch times significantly in shader-limited scenarios. Equal FP16 and FP32 rates on both GPUs support seamless mixed-precision computing without throughput mismatches. Memory bandwidth favors the TITAN Xp slightly at 548 GB/s over 504 GB/s: higher rates permit marginally larger batch sizes before bandwidth bottlenecks occur. With identical 12 GB VRAM, both face similar limits on model sizes, but Ada's architectural advances yield superior real-world efficiency in tensor operations beyond raw specs.

Live Cloud Pricing

Real-time prices from 25+ providers. Updated every 60 seconds.

RTX 4070 SUPER

ProviderGPU ModelVRAMHost SpecsRegionPriceStatusAction
RunPod
RunPod
NVIDIA GeForce RTX 4070 Ti
12GB VRAM
$0.50/GPU/hr

Compare real-time pricing across 25+ providers

When to Choose the RTX 4070 SUPER

The RTX 4070 SUPER excels in contemporary AI pipelines. Its 35.5 TFLOPS compute outperforms the TITAN Xp's 12.1 TFLOPS, speeding up LLM training and Stable Diffusion by factors approaching three times. The 220 W TDP lowers energy costs versus 250 W, ideal for prolonged cloud sessions.

When to Choose the TITAN Xp

The TITAN Xp serves legacy Pascal-optimized software. Its 548 GB/s bandwidth exceeds the RTX 4070 SUPER's 504 GB/s, supporting larger batches in memory-bound tasks like certain scientific simulations. Availability in older systems avoids upgrade expenses.

Use Cases

LLM Training
RTX 4070 SUPER

The RTX 4070 SUPER's 35.5 TFLOPS FP16 performance trains models nearly three times faster than the TITAN Xp's 12.1 TFLOPS. Lower 220 W TDP sustains longer sessions efficiently.

LLM Inference
RTX 4070 SUPER

Higher 35.5 TFLOPS FP32 on the RTX 4070 SUPER delivers quicker inference latency compared to 12.1 TFLOPS on the TITAN Xp. Ada architecture optimizes token generation.

Fine-tuning
RTX 4070 SUPER

RTX 4070 SUPER handles fine-tuning with 35.5 TFLOPS compute, outpacing TITAN Xp's 12.1 TFLOPS for faster iterations on 12 GB VRAM datasets.

Stable Diffusion
RTX 4070 SUPER

The 35.5 TFLOPS FP16 rate of RTX 4070 SUPER generates images much quicker than TITAN Xp's 12.1 TFLOPS. Efficiency at 220 W TDP reduces generation costs.

Scientific Computing
Either

TITAN Xp's 548 GB/s bandwidth aids memory-intensive simulations over RTX 4070 SUPER's 504 GB/s. Compute-heavy tasks favor the 35.5 TFLOPS of the newer GPU.

Frequently Asked Questions

Do they have the same VRAM?

Both offer 12 GB VRAM, RTX 4070 SUPER with GDDR6X and TITAN Xp with GDDR5X. RTX 4070 SUPER pairs it with 504 GB/s bandwidth versus 548 GB/s. Capacity suits similar model sizes.

What is the power consumption difference?

RTX 4070 SUPER draws 220 W TDP, lower than TITAN Xp's 250 W. This yields better efficiency for cloud usage. Lower power correlates with reduced heat output.

Is TITAN Xp still viable for machine learning?

TITAN Xp's 12.1 TFLOPS and 548 GB/s bandwidth handle basic ML but lag behind RTX 4070 SUPER's 35.5 TFLOPS. It fits legacy Pascal codebases. Modern tasks demand newer architectures.

How do architectures impact performance?

Ada Lovelace in RTX 4070 SUPER from 2023 vastly improves over Pascal in TITAN Xp from 2017. Compute jumps from 12.1 to 35.5 TFLOPS reflects tensor core advancements. Bandwidth edges to TITAN Xp at 548 GB/s.

Which supports larger batch sizes?

TITAN Xp's 548 GB/s bandwidth allows slightly larger batches than RTX 4070 SUPER's 504 GB/s. Both limited to 12 GB VRAM. Real gains depend on workload memory patterns.

Which is cheaper to rent, the RTX 4070 or the TITAN Xp?

Cloud rental prices for both the RTX 4070 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 4070 have compared to the TITAN Xp?

The RTX 4070 has 12 GB of GDDR6X memory. The TITAN Xp has 12 GB of GDDR5X memory.

Can I find RTX 4070 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 4070 and the TITAN Xp?

The RTX 4070 uses the Ada Lovelace architecture (2023) while the TITAN Xp uses Pascal (2017). The RTX 4070 delivers 2.4x the FP16 throughput and 1.1x the memory bandwidth of the TITAN Xp.