Specifications Compared
| Spec | RTX-4070 | RTX-PRO-6000-BLACKWELL |
|---|---|---|
| TDP | 200W | 400W |
| VRAM | 12 GB | 96 GB |
| CUDA Cores | 5,888 | 21,760 |
| Memory Type | GDDR6X | GDDR7 |
| Architecture | Ada Lovelace | Blackwell |
| Form Factors | PCIe | PCIe |
| Interconnect | NVLink | |
| Tensor Cores | 184 | 680 |
| FP16 Performance | 29.1 TFLOPS | 125 TFLOPS |
| FP32 Performance | 29.1 TFLOPS | 125 TFLOPS |
| INT8 Performance | 466 TOPS | 2,000 TOPS |
| Memory Bandwidth | 504 GB/s | 1,792 GB/s |
Performance Analysis
The RTX PRO 6000 vastly outperforms the RTX 4070 in compute capabilities: 125 TFLOPS FP16 and FP32 compared to 29.1 TFLOPS, enabling roughly four times faster matrix operations critical for deep learning training and inference. The FP8 performance of 2000 TFLOPS on RTX PRO 6000 further accelerates low-precision inference tasks, reducing latency for large language models.
Memory specifications highlight another gap: 96 GB GDDR7 versus 12 GB GDDR6X allows RTX PRO 6000 to handle models exceeding 12 GB without swapping, supporting larger batch sizes in training. Bandwidth reaches 1792 GB/s on RTX PRO 6000 against 504 GB/s, minimizing bottlenecks in data-intensive workloads like scientific simulations. For training, higher TFLOPS and memory enable scaling to billion-parameter models; inference benefits from FP8 for throughput gains.
Power draw doubles to 400W on RTX PRO 6000 from 200W, reflecting its density but requiring robust cooling in cloud instances.
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 |
When to Choose the RTX 4070
The RTX 4070 excels in budget-limited scenarios such as prototyping small models or running Stable Diffusion with 12 GB VRAM sufficient for most image generation tasks. At $0.07 per hour starting price, it delivers 29.1 TFLOPS FP32 performance for fine-tuning under 7 billion parameters, offering value where speed trumps capacity.
When to Choose the RTX PRO 6000
Opt for RTX PRO 6000 in production-scale AI: 96 GB VRAM accommodates massive LLMs, while 125 TFLOPS FP16 speeds training epochs. NVLink interconnect aids multi-GPU setups, and $0.59 per hour justifies the cost for high-throughput inference leveraging 2000 TFLOPS FP8.
Use Cases
RTX PRO 6000's 96 GB VRAM and 125 TFLOPS FP16 support billion-parameter models with large batches, unlike RTX 4070's 12 GB limit. Higher 1792 GB/s bandwidth accelerates data loading.
2000 TFLOPS FP8 on RTX PRO 6000 boosts low-precision serving throughput for production. 96 GB capacity handles full model loading without quantization issues on RTX 4070.
RTX 4070 suffices for models under 12 GB at low $0.19 per hour average. RTX PRO 6000 scales to larger ones with 125 TFLOPS FP32.
12 GB VRAM meets typical diffusion model needs with 29.1 TFLOPS FP16 for fast generation. Cost savings at $0.07 per hour make it ideal over RTX PRO 6000.
NVLink and 1792 GB/s bandwidth optimize parallel simulations. 96 GB VRAM processes large datasets beyond RTX 4070's 504 GB/s capacity.
Frequently Asked Questions
What is the VRAM difference between RTX 4070 and RTX PRO 6000?▾
RTX 4070 has 12 GB GDDR6X, while RTX PRO 6000 offers 96 GB GDDR7. This eightfold increase allows RTX PRO 6000 to load much larger AI models without memory constraints.
How do their compute performances compare?▾
RTX 4070 delivers 29.1 TFLOPS FP16 and FP32; RTX PRO 6000 provides 125 TFLOPS for both, plus 2000 TFLOPS FP8. The PRO model is over four times faster in standard precisions.
What are the cloud rental prices?▾
RTX 4070 starts at $0.07 per hour, averaging $0.19 across nine offers. RTX PRO 6000 begins at $0.59 per hour, averaging $1.25 over five offers.
Which has higher memory bandwidth?▾
RTX PRO 6000 achieves 1792 GB/s with GDDR7, compared to 504 GB/s on RTX 4070's GDDR6X. This impacts data-heavy tasks like training.
What architectures do they use?▾
RTX 4070 uses Ada Lovelace from 2023; RTX PRO 6000 employs Blackwell from 2025. The newer architecture brings efficiency gains in FP8 compute.
What is the TDP for each?▾
RTX 4070 consumes 200W; RTX PRO 6000 requires 400W. Higher power correlates with RTX PRO 6000's superior 125 TFLOPS performance.
Which is cheaper to rent, the RTX 4070 or the RTX PRO 6000?▾
Cloud rental prices for both the RTX 4070 and RTX PRO 6000 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 RTX PRO 6000?▾
The RTX 4070 has 12 GB of GDDR6X memory. The RTX PRO 6000 has 96 GB of GDDR7 memory.
Can I find RTX 4070 and RTX PRO 6000 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 RTX PRO 6000?▾
The RTX 4070 uses the Ada Lovelace architecture (2023) while the RTX PRO 6000 uses Blackwell (2025). The RTX PRO 6000 delivers 4.3x the FP16 throughput and 3.6x the memory bandwidth of the RTX 4070.