Specifications Compared
| Spec | RTX-4060 | V100 |
|---|---|---|
| TDP | 115W | 300W |
| VRAM | 8 GB | 16-32 GB |
| CUDA Cores | 3,072 | 5,120 |
| Memory Type | GDDR6 | HBM2 |
| Architecture | Ada Lovelace | Volta |
| Form Factors | PCIe | SXM2, PCIe |
| Interconnect | NVLink, PCIe 3.0 | |
| Tensor Cores | 96 | 640 |
| FP16 Performance | 15.1 TFLOPS | 125 TFLOPS |
| FP32 Performance | 15.1 TFLOPS | 15.7 TFLOPS |
| INT8 Performance | 242 TOPS | |
| Memory Bandwidth | 272 GB/s | 900 GB/s |
Performance Analysis
The V100's 125 TFLOPS FP16 vastly exceeds the RTX 4060 Ti's 15.1 TFLOPS, enabling faster mixed-precision training on large models where tensor core acceleration dominates. Both GPUs deliver comparable FP32 at 15.7 TFLOPS for V100 and 15.1 TFLOPS for RTX 4060 Ti, suiting general compute but highlighting V100's training edge. The V100's 900 GB/s bandwidth versus 272 GB/s supports larger batch sizes in deep learning, reducing overhead in memory-bound operations. RTX 4060 Ti's 8 GB VRAM limits it to smaller models or inference, while V100's 32 GB handles extensive datasets. Lower 115W TDP on RTX 4060 Ti aids dense cloud deployments, contrasting V100's 300W power draw.
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 RTX 4060 Ti
Opt for the RTX 4060 Ti in cost-sensitive inference or fine-tuning of small to medium models under 8 GB VRAM. Its $0.08/hr starting price and 15.1 TFLOPS FP32 suit lightweight tasks like Stable Diffusion or edge AI at $0.14/hr average. Low 115W TDP enables scalable multi-GPU setups without high power costs.
When to Choose the Tesla V100 32GB
Select the V100 32GB for memory-heavy training or scientific simulations requiring 32 GB HBM2 and 900 GB/s bandwidth. Its 125 TFLOPS FP16 accelerates large LLM training with big batches, despite $0.29/hr starting and $1.01/hr average pricing. NVLink interconnect benefits multi-GPU scaling in HPC environments.
Use Cases
V100's 125 TFLOPS FP16 and 32 GB VRAM handle large models and batches better than RTX 4060 Ti's 15.1 TFLOPS and 8 GB limit.
RTX 4060 Ti's low $0.14/hr average cost and 15.1 TFLOPS suffice for serving smaller models, outperforming V100's $1.01/hr pricing.
RTX 4060 Ti works for models under 8 GB at low cost; V100 excels with 32 GB for larger datasets.
RTX 4060 Ti's Ada architecture and 272 GB/s bandwidth generate images efficiently at $0.08/hr starting price.
V100's 900 GB/s bandwidth and NVLink support complex simulations with large data, leveraging 32 GB HBM2.
Frequently Asked Questions
Which GPU has more VRAM?▾
The V100 32GB offers 32 GB HBM2 compared to RTX 4060 Ti's 8 GB GDDR6. This makes V100 suitable for larger models. RTX 4060 Ti handles smaller workloads efficiently.
What is the FP16 performance difference?▾
V100 delivers 125 TFLOPS FP16 versus RTX 4060 Ti's 15.1 TFLOPS. V100 accelerates training significantly. RTX 4060 Ti suffices for inference.
How do cloud prices compare?▾
RTX 4060 Ti starts at $0.08/hr averaging $0.14/hr across 6 offers. V100 32GB begins at $0.29/hr averaging $1.01/hr over 44 offers. RTX 4060 Ti provides better value for light tasks.
Which has higher memory bandwidth?▾
V100 achieves 900 GB/s with HBM2 against RTX 4060 Ti's 272 GB/s GDDR6. V100 supports bigger batches. RTX 4060 Ti works for modest data flows.
What are the TDP ratings?▾
RTX 4060 Ti consumes 115W while V100 requires 300W. Lower TDP on RTX 4060 Ti reduces cloud power costs. V100 demands robust cooling.
Which is newer?▾
RTX 4060 Ti uses 2023 Ada Lovelace architecture; V100 is from 2017 Volta. Newer design brings efficiency gains to RTX 4060 Ti.
Which is cheaper to rent, the RTX 4060 or the V100?▾
Cloud rental prices for both the RTX 4060 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 4060 have compared to the V100?▾
The RTX 4060 has 8 GB of GDDR6 memory. The V100 has 16 to 32 GB of HBM2 memory.
Can I find RTX 4060 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 4060 and the V100?▾
The RTX 4060 uses the Ada Lovelace architecture (2023) while the V100 uses Volta (2017). The V100 delivers 8.3x the FP16 throughput and 3.3x the memory bandwidth of the RTX 4060.