Specifications Compared
| Spec | RTX-4070 | TITAN-V |
|---|---|---|
| TDP | 200W | 250W |
| VRAM | 12 GB | 12 GB |
| CUDA Cores | 5,888 | 5,120 |
| Memory Type | GDDR6X | HBM2 |
| Architecture | Ada Lovelace | Volta |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| Tensor Cores | 184 | 640 |
| FP16 Performance | 29.1 TFLOPS | 13.8 TFLOPS |
| FP32 Performance | 29.1 TFLOPS | 13.8 TFLOPS |
| INT8 Performance | 466 TOPS | |
| Memory Bandwidth | 504 GB/s | 653 GB/s |
Performance Analysis
The RTX 4070's 29.1 TFLOPS in both FP16 and FP32 dwarfs the TITAN V's 13.8 TFLOPS, delivering over twice the theoretical compute for training and inference workloads. This delta translates to faster model convergence in FP32-heavy training phases and accelerated FP16 mixed-precision inference, reducing epoch times significantly on the newer Ada Lovelace architecture.
Memory bandwidth presents a counterpoint: the TITAN V's 653 GB/s from HBM2 exceeds the RTX 4070's 504 GB/s GDDR6X, enabling larger batch sizes in memory-bound scenarios like high-resolution image processing or large dataset loading. Consequently, the TITAN V sustains throughput better when VRAM limits compute utilization at 12 GB capacity.
Power efficiency favors the RTX 4070 at 200W TDP versus 250W, allowing denser cloud deployments. Overall, compute-bound tasks prioritize the RTX 4070, while bandwidth-sensitive applications lean toward the TITAN V.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
RTX 4070
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 RunPod | NVIDIA GeForce RTX 4070 Ti 12GB VRAM | 12GB | 6 vCPU 30GB RAM | 🌍global | $0.50/GPU/hr |
When to Choose the RTX 4070
Select the RTX 4070 for compute-intensive machine learning tasks such as LLM training or Stable Diffusion generation, where its 29.1 TFLOPS FP16 and FP32 performance halves processing times compared to the TITAN V's 13.8 TFLOPS. Cloud availability from $0.07 per hour across nine offers ensures cost-effective scaling.
Its lower 200W TDP suits prolonged inference runs in resource-constrained environments, and Ada Lovelace optimizations enhance compatibility with recent frameworks.
When to Choose the TITAN V
Choose the TITAN V for memory-bandwidth-critical workloads like scientific simulations requiring large batch sizes, leveraging its 653 GB/s HBM2 advantage over the RTX 4070's 504 GB/s. Legacy Volta-specific software or HPC codes optimized for high throughput benefit from this edge despite lower 13.8 TFLOPS compute.
If live cloud offers emerge, its 12 GB HBM2 excels in data-parallel tasks where bandwidth bottlenecks the RTX 4070.
Use Cases
The RTX 4070's 29.1 TFLOPS FP32 performance exceeds the TITAN V's 13.8 TFLOPS, accelerating convergence on large models. Lower 200W TDP supports extended sessions.
Higher 29.1 TFLOPS FP16 enables faster token generation than the TITAN V's 13.8 TFLOPS. Cloud pricing at $0.07 per hour adds economic value.
Ada Lovelace architecture with 29.1 TFLOPS outperforms Volta's 13.8 TFLOPS for parameter updates. Efficient 200W TDP aids iterative workflows.
RTX 4070's 29.1 TFLOPS and modern tensor cores optimize diffusion steps over TITAN V's 13.8 TFLOPS. Availability ensures quick deployment.
TITAN V's 653 GB/s bandwidth handles large datasets better than RTX 4070's 504 GB/s. HBM2 suits memory-intensive simulations.
Frequently Asked Questions
Which GPU has higher compute performance?▾
The RTX 4070 achieves 29.1 TFLOPS in FP16 and FP32, more than double the TITAN V's 13.8 TFLOPS. This benefits training and inference tasks.
How do memory bandwidths compare?▾
TITAN V offers 653 GB/s with HBM2, surpassing RTX 4070's 504 GB/s GDDR6X. Higher bandwidth aids large batch sizes.
What are the power requirements?▾
RTX 4070 draws 200W TDP, lower than TITAN V's 250W. This enables more efficient cloud scaling.
Is cloud pricing available for both?▾
RTX 4070 starts at $0.07 per hour (average $0.19 per hour) across nine offers. TITAN V has no live offers.
Which has more VRAM?▾
Both provide 12 GB, but RTX 4070 uses GDDR6X while TITAN V employs HBM2. VRAM capacity matches for most models.
What architectures do they use?▾
RTX 4070 is Ada Lovelace from 2023; TITAN V is Volta from 2017. Newer architecture supports recent optimizations.
Which is cheaper to rent, the RTX 4070 or the TITAN V?▾
Cloud rental prices for both the RTX 4070 and TITAN V 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 V?▾
The RTX 4070 has 12 GB of GDDR6X memory. The TITAN V has 12 GB of HBM2 memory.
Can I find RTX 4070 and TITAN V 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 V?▾
The RTX 4070 uses the Ada Lovelace architecture (2023) while the TITAN V uses Volta (2017). The RTX 4070 delivers 2.1x the FP16 throughput and 1.3x the memory bandwidth of the TITAN V.