Specifications Compared
| Spec | RTX-4000-ADA | V100 |
|---|---|---|
| TDP | 130W | 300W |
| VRAM | 20 GB | 16-32 GB |
| CUDA Cores | 6,144 | 5,120 |
| Memory Type | GDDR6 | HBM2 |
| Architecture | Ada Lovelace | Volta |
| Form Factors | PCIe | SXM2, PCIe |
| Interconnect | NVLink, PCIe 3.0 | |
| Tensor Cores | 192 | 640 |
| FP16 Performance | 26.7 TFLOPS | 125 TFLOPS |
| FP32 Performance | 26.7 TFLOPS | 15.7 TFLOPS |
| INT8 Performance | 427 TOPS | |
| Memory Bandwidth | 360 GB/s | 900 GB/s |
Performance Analysis
The V100 excels in FP16 workloads with 125 TFLOPS, enabling faster mixed-precision training compared to the RTX 4000 Ada's 26.7 TFLOPS FP16. However, the RTX 4000 Ada provides equal FP32 performance at 26.7 TFLOPS against the V100's 15.7 TFLOPS, making it superior for single-precision inference or simulations requiring FP32 dominance. This balance suits diverse AI pipelines where the V100 might bottleneck on FP32 tasks. Memory bandwidth defines data movement: the V100's 900 GB/s supports larger batch sizes in training, reducing overhead for models up to 32 GB HBM2, while the RTX 4000 Ada's 360 GB/s with 20 GB GDDR6 limits scalability for memory-intensive operations. In real-world terms, V100 handles high-throughput FP16 inference better, but RTX 4000 Ada offers efficiency with 130W TDP versus 300W, lowering operational costs in prolonged cloud sessions. Interconnects matter too: V100's NVLink aids multi-GPU scaling, absent in the PCIe-only RTX 4000 Ada.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
RTX 4000 Ada
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 RunPod | NVIDIA RTX 4000 Ada Generation 20GB VRAM | 20GB | 8 vCPU 50GB RAM | 🌍global | $0.26/GPU/hr | |||
 Vast.ai | NVIDIA RTX 4000 Ada Generation 20GB VRAM | 20GB | 64 vCPU 42GB RAM 505GB Storage | Hungary | $0.40/GPU/hr | Available | ||
RunPod | NVIDIA RTX 4000 Ada Generation 20GB VRAM | 20GB | 8 vCPU 50GB RAM | 🌍global | $0.44/GPU/hr | |||
RunPod | NVIDIA RTX 4000 Ada Generation 20GB VRAM | 20GB | 0 vCPU 0GB RAM | 🌍global | $0.57/GPU/hr |
V100
| 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 4000 Ada
The RTX 4000 Ada suits cost-sensitive deployments with pricing from $0.09 per hour and average $0.22 per hour. Its matched 26.7 TFLOPS FP16 and FP32 performance excels in balanced workloads like fine-tuning or inference on models fitting within 20 GB VRAM. Lower 130W TDP enables use in edge or power-limited cloud instances without thermal issues.
When to Choose the V100
Choose the V100 for FP16-heavy tasks leveraging 125 TFLOPS, such as large-scale training with mixed precision. Its 900 GB/s bandwidth and up to 32 GB HBM2 accommodate bigger batches and datasets. NVLink interconnect supports multi-GPU setups despite higher average $0.94 per hour pricing.
Use Cases
V100's 125 TFLOPS FP16 accelerates mixed-precision training for large LLMs. Higher 900 GB/s bandwidth supports bigger batches within 16-32 GB HBM2.
RTX 4000 Ada's equal 26.7 TFLOPS FP16 and FP32 handles inference efficiently. Lower $0.22 per hour average cost fits sustained serving.
Balanced 26.7 TFLOPS FP32 suits fine-tuning tasks on 20 GB models. 130W TDP reduces expenses in iterative cloud runs.
RTX 4000 Ada's modern Ada architecture optimizes diffusion models within 20 GB VRAM. V100's high FP16 works if bandwidth demands exceed 360 GB/s.
RTX 4000 Ada's 26.7 TFLOPS FP32 matches simulation needs better than V100's 15.7 TFLOPS. Lower power and pricing aid long computations.
Frequently Asked Questions
Which has more VRAM: RTX 4000 Ada or V100?▾
The V100 offers 16-32 GB HBM2, potentially exceeding the RTX 4000 Ada's fixed 20 GB GDDR6. Choice depends on variant: 32 GB V100 for largest models. RTX 4000 Ada suffices for most mid-sized workloads.
How do FP32 performances compare?▾
RTX 4000 Ada delivers 26.7 TFLOPS FP32, surpassing V100's 15.7 TFLOPS. This favors RTX 4000 Ada for FP32-dominant tasks like scientific simulations. V100 compensates with 125 TFLOPS FP16.
What is the price difference in cloud rentals?▾
RTX 4000 Ada starts at $0.09 per hour, averaging $0.22 per hour across 9 offers. V100 begins at $0.10 per hour but averages $0.94 per hour over 72 offers. RTX 4000 Ada provides better value for budget runs.
Which GPU uses less power?▾
RTX 4000 Ada has a 130W TDP, half the V100's 300W. This lowers cooling needs and costs in cloud environments. Efficiency gains suit prolonged workloads.
Does V100 support NVLink?▾
Yes, V100 includes NVLink alongside PCIe 3.0 for multi-GPU scaling. RTX 4000 Ada relies solely on PCIe, limiting interconnect speed. Use V100 for clustered training.
Which is newer?▾
RTX 4000 Ada uses 2023 Ada Lovelace architecture, versus V100's 2017 Volta. Newer design brings efficiency and software optimizations. Legacy code may prefer V100.
Which is cheaper to rent, the RTX 4000 Ada or the V100?▾
Cloud rental prices for both the RTX 4000 Ada 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 4000 Ada have compared to the V100?▾
The RTX 4000 Ada has 20 GB of GDDR6 memory. The V100 has 16 to 32 GB of HBM2 memory.
Can I find RTX 4000 Ada 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 4000 Ada and the V100?▾
The RTX 4000 Ada uses the Ada Lovelace architecture (2023) while the V100 uses Volta (2017). The V100 delivers 4.7x the FP16 throughput and 2.5x the memory bandwidth of the RTX 4000 Ada.