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
The V100 dominates FP16 workloads with 125 TFLOPS, enabling four times faster mixed-precision training than the RTX 4070's 29.1 TFLOPS: this translates to quicker convergence in large language model training where half-precision dominates. However, the RTX 4070 leads in FP32 at 29.1 TFLOPS over the V100's 15.7 TFLOPS, providing an edge in inference or simulations requiring full single-precision accuracy.
Memory specifications reveal key bottlenecks: the V100's 900 GB/s bandwidth and 16 GB HBM2 support larger batch sizes in memory-bound tasks, such as processing bigger datasets without swapping, compared to the RTX 4070's 504 GB/s and 12 GB GDDR6X. Higher bandwidth reduces latency in data-heavy operations like gradient accumulation during training.
Power and form factors influence deployment: the V100's 300W TDP and SXM2/PCIe options suit high-density servers with NVLink for multi-GPU scaling, while the RTX 4070's 200W PCIe design favors lower-power, cost-effective single-node runs. These specs shape real-world throughput, with V100 excelling in scale-out scenarios and RTX 4070 in efficient, balanced compute.
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 |
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
The RTX 4070 excels in cost-sensitive cloud deployments: pricing starts at $0.07 per hour with an average of $0.14 per hour, far below the V100's $0.81 per hour average. Its balanced 29.1 TFLOPS FP16 and FP32 performance suits inference and fine-tuning where modern Ada Lovelace optimizations yield better software compatibility.
Lower 200W TDP enables denser packing in consumer-grade cloud instances, ideal for developers testing models without high power overhead.
When to Choose the Tesla V100 16GB
The V100 is preferable for FP16-intensive training workloads: 125 TFLOPS half-precision compute accelerates mixed-precision runs beyond the RTX 4070's 29.1 TFLOPS. Its 900 GB/s bandwidth and 16 GB HBM2 handle larger batch sizes and models effectively.
NVLink interconnect supports multi-GPU scaling in datacenter environments, making it suitable for legacy HPC setups despite higher 300W TDP and $0.81 per hour average cost.
Use Cases
V100's 125 TFLOPS FP16 provides fourfold speedup over RTX 4070's 29.1 TFLOPS in mixed-precision training. Higher 900 GB/s bandwidth supports larger batches for massive models.
RTX 4070's balanced 29.1 TFLOPS FP16/FP32 and $0.14 per hour average cost optimize high-throughput serving. Lower 200W TDP suits sustained inference runs.
RTX 4070's 29.1 TFLOPS FP32 exceeds V100's 15.7 TFLOPS for precision needs, paired with cheaper $0.07 per hour starting price. Ada architecture aligns with current frameworks.
RTX 4070's Ada Lovelace excels in consumer AI image generation with 504 GB/s bandwidth efficiency. Lower $0.14 per hour cost fits iterative creative workflows.
V100's 16 GB HBM2 and 900 GB/s bandwidth manage memory-intensive simulations better than RTX 4070's 12 GB GDDR6X. NVLink enables multi-GPU HPC scaling.
Frequently Asked Questions
Which GPU has higher FP16 performance?▾
The V100 achieves 125 TFLOPS FP16, surpassing the RTX 4070's 29.1 TFLOPS by over four times. This favors V100 in half-precision training tasks.
What is the VRAM difference?▾
V100 offers 16 GB HBM2 versus RTX 4070's 12 GB GDDR6X. More VRAM on V100 supports larger models without fragmentation.
Which is cheaper in the cloud?▾
RTX 4070 starts at $0.07 per hour with $0.14 per hour average across two offers, compared to V100's $0.10 per hour start and $0.81 per hour average across 25 offers. RTX 4070 provides better value for most users.
How do power consumptions compare?▾
RTX 4070 draws 200W TDP, lower than V100's 300W. This enables more efficient deployments in power-constrained cloud instances.
Which has better memory bandwidth?▾
V100 delivers 900 GB/s with HBM2, exceeding RTX 4070's 504 GB/s GDDR6X. Higher bandwidth aids batch processing in training.
Is V100 still relevant in 2023?▾
V100's 125 TFLOPS FP16 and NVLink remain viable for legacy training pipelines. However, RTX 4070's newer Ada architecture offers better optimization at lower $0.14 per hour cost.
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.