Specifications Compared
| Spec | RTX-4070 | V100 |
|---|---|---|
| TDP | 200W | 300W |
| VRAM | 12 GB | 16-32 GB |
| CUDA Cores | 5,888 | 5,120 |
| Memory Type | GDDR6X | HBM2 |
| Architecture | Ada Lovelace | Volta |
| Form Factors | PCIe | SXM2, PCIe |
| Interconnect | NVLink, PCIe 3.0 | |
| Tensor Cores | 184 | 640 |
| FP16 Performance | 29.1 TFLOPS | 125 TFLOPS |
| FP32 Performance | 29.1 TFLOPS | 15.7 TFLOPS |
| INT8 Performance | 466 TOPS | |
| Memory Bandwidth | 504 GB/s | 900 GB/s |
Performance Analysis
Performance disparities stem from architectural evolution: Ada Lovelace in RTX 4070 Ti incorporates fourth-generation tensor cores for superior efficiency in modern frameworks, unlike Volta's first-generation in V100. The V100's 125 TFLOPS FP16 excels in mixed-precision training where tensor operations dominate, enabling faster convergence than RTX 4070 Ti's 40 TFLOPS FP16. Conversely, RTX 4070 Ti's 40 TFLOPS FP32 doubles V100's 15.7 TFLOPS, accelerating FP32-centric inference or legacy scientific codes.
Memory configurations influence workload feasibility: V100's 900 GB/s HBM2 bandwidth and 16 GB capacity support larger batch sizes in training, minimizing overhead compared to RTX 4070 Ti's 504 GB/s GDDR6X and 12 GB. This reduces out-of-memory issues for memory-intensive models. However, RTX 4070 Ti's 285 W TDP versus 300 W yields 17 percent lower power draw, enhancing density in cloud environments. Real-world benchmarks show RTX 4070 Ti competitive in diverse AI tasks, while V100 persists in bandwidth-bound HPC via NVLink interconnects.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
RTX 4070 Ti
| 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 |
Tesla V100 16GB
| 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 RTX 4070 Ti
The RTX 4070 Ti suits budget-conscious users prioritizing modern compatibility and balanced compute. Its 40 TFLOPS FP32 and pricing from $0.08 per hour make it ideal for LLM inference and Stable Diffusion, where Ada optimizations reduce latency at average $0.22 per hour costs. PCIe form factor ensures easy deployment in standard instances without specialized interconnects.
When to Choose the Tesla V100 16GB
Select V100 16GB for workloads demanding high memory throughput and capacity. The 900 GB/s bandwidth and 16 GB HBM2 enable large-batch LLM training, leveraging 125 TFLOPS FP16 despite average $0.81 per hour pricing. NVLink interconnect accelerates multi-GPU scientific computing, outperforming PCIe-only setups.
Use Cases
V100 16GB's 125 TFLOPS FP16 and 900 GB/s bandwidth handle memory-intensive training batches better than RTX 4070 Ti's 40 TFLOPS FP16 and 504 GB/s.
RTX 4070 Ti's balanced 40 TFLOPS FP32 and low $0.08 per hour pricing optimize high-throughput serving over V100's FP32-limited 15.7 TFLOPS.
RTX 4070 Ti fits efficient modern fine-tuning with 12 GB VRAM; V100 16GB aids larger models via 16 GB HBM2 and 900 GB/s bandwidth.
Ada Lovelace architecture in RTX 4070 Ti accelerates diffusion models with 40 TFLOPS performance and 504 GB/s bandwidth at lower $0.22 per hour average cost.
V100's NVLink interconnect and 900 GB/s HBM2 bandwidth excel in multi-GPU simulations, surpassing RTX 4070 Ti's PCIe limitations.
Frequently Asked Questions
Which GPU has lower cloud pricing?▾
RTX 4070 Ti starts from $0.08 per hour with average $0.22 per hour across five offers, undercutting V100 16GB from $0.10 per hour average $0.81 per hour across 25 offers. Lower costs reflect newer availability and consumer origins. This favors RTX 4070 Ti for extended runs.
Does V100 have more VRAM than RTX 4070 Ti?▾
V100 16GB provides 16 GB HBM2 versus RTX 4070 Ti's 12 GB GDDR6X. HBM2 also delivers 900 GB/s bandwidth over 504 GB/s. Extra capacity aids large models on V100.
Which offers better FP32 performance?▾
RTX 4070 Ti achieves 40 TFLOPS FP32, more than double V100's 15.7 TFLOPS. This benefits FP32-heavy inference tasks. V100 leads FP16 at 125 TFLOPS instead.
What are the TDP ratings?▾
RTX 4070 Ti has 285 W TDP, lower than V100's 300 W. Reduced power supports higher instance density. Efficiency gains appear in sustained cloud loads.
Can V100 use NVLink?▾
V100 supports NVLink and PCIe 3.0 interconnects for multi-GPU scaling, absent on RTX 4070 Ti's PCIe-only design. NVLink boosts bandwidth in clusters. This suits HPC over single-node tasks.
Is RTX 4070 Ti suitable for AI training?▾
RTX 4070 Ti handles training with 40 TFLOPS FP16/FP32, but V100's 125 TFLOPS FP16 excels in mixed precision. Choose RTX 4070 Ti for cost at $0.08 per hour. V100 fits bandwidth-critical cases.
Which is cheaper to rent, the RTX 4070 or the V100?▾
Cloud rental prices for both the RTX 4070 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 RTX 4070 have compared to the V100?▾
The RTX 4070 has 12 GB of GDDR6X memory. The V100 has 16 to 32 GB of HBM2 memory.
Can I find RTX 4070 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 RTX 4070 and the V100?▾
The RTX 4070 uses the Ada Lovelace architecture (2023) while the V100 uses Volta (2017). The V100 delivers 4.3x the FP16 throughput and 1.8x the memory bandwidth of the RTX 4070.