Specifications Compared
| Spec | GTX-1070 | V100 |
|---|---|---|
| TDP | 150W | 300W |
| VRAM | 8 GB | 16-32 GB |
| CUDA Cores | 1,920 | 5,120 |
| Memory Type | GDDR5 | HBM2 |
| Architecture | Pascal | Volta |
| Form Factors | PCIe | SXM2, PCIe |
| Interconnect | NVLink, PCIe 3.0 | |
| FP16 Performance | 6.5 TFLOPS | 125 TFLOPS |
| FP32 Performance | 6.5 TFLOPS | 15.7 TFLOPS |
| Memory Bandwidth | 256 GB/s | 900 GB/s |
Performance Analysis
Volta architecture provides a decisive edge over Pascal: the V100 achieves 125 TFLOPS FP16 compared to the GTX 1070 Ti's 8.9 TFLOPS, enabling up to 14-fold acceleration in mixed-precision training for deep neural networks. FP32 performance stands at 15.7 TFLOPS for V100 versus 8.9 TFLOPS for GTX 1070 Ti, benefiting single-precision scientific simulations and inference.
Memory differences impact real-world usage profoundly: 32 GB HBM2 at 900 GB/s on V100 supports large batch sizes in training large language models, minimizing data transfer bottlenecks, while 8 GB GDDR5X at 352 GB/s on GTX 1070 Ti restricts it to smaller models or inference with reduced throughput.
Higher 300 W TDP on V100 reflects its datacenter optimization, contrasting the 180 W efficiency of GTX 1070 Ti for power-constrained desktop setups.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
Tesla V100 32GB
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 TensorDock | NVIDIA Tesla V100 16GB 16GB VRAM | 16GB | 0 vCPU 0GB RAM | Texas | $0.19/GPU/hr | Available | ||
TensorDock | NVIDIA Tesla V100 16GB 16GB VRAM | 16GB | 0 vCPU 0GB RAM | New York City | $0.19/GPU/hr | Available | ||
TensorDock | NVIDIA Tesla V100 32GB 32GB VRAM | 32GB | 0 vCPU 0GB RAM | Texas | $0.29/GPU/hr | Available | ||
TensorDock | NVIDIA Tesla V100 32GB 32GB VRAM | 32GB | 0 vCPU 0GB RAM | New York City | $0.29/GPU/hr | Available | ||
 Lambda Labs | 8×NVIDIA Tesla V100 16GB 16GB VRAM | 16GB | 88 vCPU 448GB RAM 6041GB Storage | Texas | $0.79/GPU/hr $6.32/hr total (8×) | Available |
When to Choose the GTX 1070 Ti
The GTX 1070 Ti suits budget entry points for non-demanding tasks. Its 8.9 TFLOPS FP32, 352 GB/s bandwidth, and 180 W TDP work well for basic inference on models under 8 GB VRAM or lightweight gaming-assisted compute on local hardware.
Absence of live cloud offers positions it for on-premises use where acquisition costs are low and workloads avoid memory-intensive training.
When to Choose the Tesla V100 32GB
The V100 32GB dominates professional AI pipelines. With 125 TFLOPS FP16 and 32 GB HBM2, it excels in training and fine-tuning large models, while 900 GB/s bandwidth enables efficient large-batch processing.
NVLink support and cloud pricing from $0.29 per hour make it scalable for distributed workloads unavailable on GTX 1070 Ti.
Use Cases
V100's 125 TFLOPS FP16 and 32 GB HBM2 handle massive models and batches effectively. GTX 1070 Ti's 8 GB VRAM and 8.9 TFLOPS fall short for scale.
900 GB/s bandwidth and 125 TFLOPS FP16 on V100 minimize latency for large models. GTX 1070 Ti manages small models but bottlenecks on bigger ones.
V100's 32 GB VRAM supports dataset loading for fine-tuning LLMs. 15.7 TFLOPS FP32 outperforms GTX 1070 Ti's 8.9 TFLOPS.
GTX 1070 Ti's 8 GB VRAM suffices for standard image generation at 8.9 TFLOPS. V100 accelerates high-resolution batches with 32 GB and 125 TFLOPS FP16.
V100's 15.7 TFLOPS FP32 and HBM2 excel in simulations requiring high bandwidth. GTX 1070 Ti's 352 GB/s limits complex datasets.
Frequently Asked Questions
What is the FP32 performance of GTX 1070 Ti versus V100?▾
GTX 1070 Ti delivers 8.9 TFLOPS FP32. V100 provides 15.7 TFLOPS FP32, nearly doubling it for compute-intensive tasks.
How much VRAM do these GPUs have?▾
GTX 1070 Ti has 8 GB GDDR5X. V100 32GB offers 32 GB HBM2, enabling four times the capacity for large models.
Is V100 cheaper in the cloud than expected?▾
Cloud pricing for V100 32GB starts at $0.29 per hour, averaging $1.01 per hour across 46 offers. GTX 1070 Ti has no live cloud availability.
What memory bandwidth advantage does V100 have?▾
V100 achieves 900 GB/s with HBM2. GTX 1070 Ti reaches 352 GB/s with GDDR5X, over 2.5 times less.
Can GTX 1070 Ti do AI training?▾
It supports training small models at 8.9 TFLOPS FP16 and 8 GB VRAM. V100's 125 TFLOPS FP16 handles production-scale training better.
TDP comparison for power planning?▾
GTX 1070 Ti uses 180 W TDP. V100 requires 300 W, suiting datacenters but demanding more cooling.
Which is cheaper to rent, the GTX 1070 or the V100?▾
Cloud rental prices for both the GTX 1070 and V100 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 V100?▾
The GTX 1070 has 8 GB of GDDR5 memory. The V100 has 16 to 32 GB of HBM2 memory.
Can I find GTX 1070 and V100 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 V100?▾
The GTX 1070 uses the Pascal architecture (2016) while the V100 uses Volta (2017). The V100 delivers 19.2x the FP16 throughput and 3.5x the memory bandwidth of the GTX 1070.