Specifications Compared
| Spec | GTX-1070 | TITAN-V |
|---|---|---|
| TDP | 150W | 250W |
| VRAM | 8 GB | 12 GB |
| CUDA Cores | 1,920 | 5,120 |
| Memory Type | GDDR5 | HBM2 |
| Architecture | Pascal | Volta |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| FP16 Performance | 6.5 TFLOPS | 13.8 TFLOPS |
| FP32 Performance | 6.5 TFLOPS | 13.8 TFLOPS |
| Memory Bandwidth | 256 GB/s | 653 GB/s |
Performance Analysis
TITAN V's 13.8 TFLOPS FP32 performance exceeds GTX 1070's 6.5 TFLOPS by more than double, accelerating single-precision training and inference tasks proportionally. The identical FP16 rating of 13.8 TFLOPS on TITAN V versus 6.5 TFLOPS supports efficient half-precision workflows, reducing memory usage while maintaining high throughput in modern deep learning pipelines.
Memory bandwidth disparity proves critical: TITAN V's 653 GB/s allows larger batch sizes in training compared to GTX 1070's 256 GB/s, minimizing bottlenecks during data loading for models approaching 8 GB VRAM limits. This enables smoother handling of convolutional neural networks or transformers without frequent swapping.
With 12 GB HBM2 versus 8 GB GDDR5, TITAN V accommodates bigger models outright, while GTX 1070 suits smaller datasets. Higher TDP of 250W on TITAN V reflects its compute density, contrasting GTX 1070's efficient 150W for lighter loads.
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When to Choose the GTX 1070
The GTX 1070 fits power-constrained environments: its 150W TDP uses 60% less energy than TITAN V's 250W, ideal for edge devices or dense multi-GPU racks. It handles inference on models under 8 GB VRAM at 6.5 TFLOPS, sufficient for real-time applications like lightweight computer vision without overprovisioning.
Budget setups benefit from Pascal's maturity, where 256 GB/s bandwidth supports modest batch sizes in fine-tuning small networks.
When to Choose the TITAN V
TITAN V excels in memory-intensive tasks: 12 GB HBM2 and 653 GB/s bandwidth manage large models that exceed GTX 1070's 8 GB GDDR5 capacity. Its 13.8 TFLOPS FP32 doubles training speeds for scientific simulations or diffusion models.
High-throughput inference benefits from Volta optimizations, processing bigger batches efficiently despite higher 250W power draw.
Use Cases
TITAN V's 12 GB HBM2 and 13.8 TFLOPS FP16 support larger models and batches than GTX 1070's 8 GB GDDR5 limits.
Higher 653 GB/s bandwidth on TITAN V enables faster token generation with bigger contexts versus GTX 1070's 256 GB/s.
GTX 1070 suffices for small models under 8 GB at 6.5 TFLOPS; TITAN V accelerates larger ones with 12 GB and 13.8 TFLOPS.
TITAN V's 12 GB VRAM fits full-resolution generations, with 13.8 TFLOPS outperforming GTX 1070's 8 GB constraints.
Volta's 653 GB/s bandwidth and 13.8 TFLOPS handle data-heavy simulations better than Pascal's 256 GB/s and 6.5 TFLOPS.
Frequently Asked Questions
What is the compute performance difference between GTX 1070 and TITAN V?▾
TITAN V delivers 13.8 TFLOPS in FP32, more than double the GTX 1070's 6.5 TFLOPS. This gap applies equally to FP16, boosting training and inference speeds. Real-world tasks like matrix multiplications run approximately twice as fast on TITAN V.
How does VRAM compare on these GPUs?▾
GTX 1070 has 8 GB GDDR5, while TITAN V provides 12 GB HBM2. The extra 4 GB on TITAN V supports larger models without quantization. HBM2 also offers superior speed for memory-bound workloads.
Which has higher memory bandwidth?▾
TITAN V achieves 653 GB/s, over 2.5 times the GTX 1070's 256 GB/s. This enables larger batch sizes in training. Data transfer bottlenecks reduce significantly on TITAN V.
What are the power requirements?▾
GTX 1070 draws 150W TDP, half of TITAN V's 250W. Lower power suits constrained setups. TITAN V's higher draw correlates with its 13.8 TFLOPS density.
Are these GPUs suitable for modern ML training?▾
TITAN V's Volta architecture with 13.8 TFLOPS handles legacy large models better than GTX 1070's Pascal at 6.5 TFLOPS. Both lack tensor cores for latest optimizations. Use for non-cutting-edge tasks due to no live cloud offers.
Can they scale multi-GPU?▾
Both use PCIe form factors without NVLink interconnects. Scaling relies on PCIe bandwidth, limiting efficiency. Single-GPU use is primary for these models.
Which is cheaper to rent, the GTX 1070 or the TITAN V?▾
Cloud rental prices for both the GTX 1070 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 GTX 1070 have compared to the TITAN V?▾
The GTX 1070 has 8 GB of GDDR5 memory. The TITAN V has 12 GB of HBM2 memory.
Can I find GTX 1070 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 GTX 1070 and the TITAN V?▾
The GTX 1070 uses the Pascal architecture (2016) while the TITAN V uses Volta (2017). The TITAN V delivers 2.1x the FP16 throughput and 2.6x the memory bandwidth of the GTX 1070.