Specifications Compared
| Spec | RTX-2070 | RTX-PRO-6000-BLACKWELL |
|---|---|---|
| TDP | 175W | 400W |
| VRAM | 8 GB | 96 GB |
| CUDA Cores | 2,304 | 21,760 |
| Memory Type | GDDR6 | GDDR7 |
| Architecture | Turing | Blackwell |
| Form Factors | PCIe | PCIe |
| Interconnect | NVLink | NVLink |
| Tensor Cores | 288 | 680 |
| FP16 Performance | 7.5 TFLOPS | 125 TFLOPS |
| FP32 Performance | 7.5 TFLOPS | 125 TFLOPS |
| Memory Bandwidth | 448 GB/s | 1,792 GB/s |
Performance Analysis
Compute performance shows stark disparities: the RTX 2070 achieves 7.5 TFLOPS in FP16 and FP32, while the RTX PRO 6000 reaches 125 TFLOPS in those precisions and 2000 TFLOPS in FP8. For machine learning training, which relies on FP16 and FP32, the RTX PRO 6000 processes operations over 16 times faster, reducing epoch times significantly on large datasets. Inference benefits most from FP8 on the RTX PRO 6000, enabling ultra-low precision deployments at 2000 TFLOPS for high-throughput serving.
Memory specifications define workload feasibility: 8 GB GDDR6 on the RTX 2070 limits it to small models or low batch sizes, whereas 96 GB GDDR7 on the RTX PRO 6000 supports massive transformers. Bandwidth of 1792 GB/s versus 448 GB/s allows the RTX PRO 6000 to handle larger batches without bottlenecks, improving utilization in data-parallel training. Both support PCIe form factors and NVLink interconnects, but the RTX PRO 6000's 400 W TDP demands robust cooling compared to the RTX 2070's 175 W.
These specs translate to real-world gains in AI pipelines, where the RTX PRO 6000 excels in scaling to enterprise models, while the RTX 2070 suits prototyping.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
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When to Choose the RTX 2070
The RTX 2070 suits budget-conscious users for lightweight tasks. With pricing from $0.02 per hour and 7.5 TFLOPS FP32 performance, it handles small-scale inference or fine-tuning on models under 8 GB VRAM effectively. Its 175 W TDP enables deployment on cost-optimized cloud instances without high power costs.
Legacy applications or hobbyist projects favor the RTX 2070, as its 448 GB/s bandwidth supports moderate batch sizes in Stable Diffusion or basic scientific simulations across two live offers.
When to Choose the RTX PRO 6000
The RTX PRO 6000 is ideal for demanding AI workloads requiring vast resources. Its 96 GB GDDR7 VRAM and 125 TFLOPS FP32 accommodate large language models in training or inference, far beyond the RTX 2070's 8 GB limit. The 1792 GB/s bandwidth sustains high batch sizes, optimizing throughput.
Professional deployments select the RTX PRO 6000 for its 2000 TFLOPS FP8 performance in production inference, available across five providers starting at $0.59 per hour despite the 400 W TDP.
Use Cases
LLM training demands high FP16/FP32 performance and ample VRAM: the RTX PRO 6000's 125 TFLOPS and 96 GB GDDR7 handle billion-parameter models, unlike the RTX 2070's 7.5 TFLOPS and 8 GB limit.
Inference leverages FP8 at 2000 TFLOPS on the RTX PRO 6000 for high throughput on large models. The RTX 2070's 7.5 TFLOPS FP16 restricts it to tiny models.
Fine-tuning benefits from 96 GB VRAM and 1792 GB/s bandwidth on the RTX PRO 6000 for larger batches. The RTX 2070's 8 GB and 448 GB/s constrain scale.
Stable Diffusion runs on the RTX 2070's 8 GB for basic generations at 7.5 TFLOPS. Advanced pipelines with high resolutions prefer the RTX PRO 6000's 96 GB.
Scientific simulations require FP32 at scale: the RTX PRO 6000's 125 TFLOPS and 96 GB VRAM accelerate complex workloads, surpassing the RTX 2070's 7.5 TFLOPS.
Frequently Asked Questions
Which GPU has more VRAM?▾
The RTX PRO 6000 provides 96 GB GDDR7 VRAM, compared to the RTX 2070's 8 GB GDDR6. This 12-fold increase supports larger models in AI tasks.
How do their prices compare in the cloud?▾
RTX 2070 pricing starts at $0.02 per hour, averaging $0.04 across two offers. RTX PRO 6000 begins at $0.59 per hour, averaging $1.25 across five offers.
What is the FP32 performance difference?▾
The RTX PRO 6000 delivers 125 TFLOPS FP32, while the RTX 2070 offers 7.5 TFLOPS. This represents over 16 times the compute capability.
Does memory bandwidth impact workloads?▾
RTX PRO 6000 bandwidth reaches 1792 GB/s, versus 448 GB/s on RTX 2070. Higher bandwidth enables larger batch sizes in training.
Which has lower power consumption?▾
The RTX 2070 uses 175 W TDP, lower than the RTX PRO 6000's 400 W. This favors the RTX 2070 for power-sensitive environments.
Are both suitable for NVLink?▾
Both GPUs support NVLink interconnects and PCIe form factors. Multi-GPU scaling is possible on either.
Which is cheaper to rent, the RTX 2070 or the RTX PRO 6000?▾
Cloud rental prices for both the RTX 2070 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 2070 have compared to the RTX PRO 6000?▾
The RTX 2070 has 8 GB of GDDR6 memory. The RTX PRO 6000 has 96 GB of GDDR7 memory.
Can I find RTX 2070 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 2070 and the RTX PRO 6000?▾
The RTX 2070 uses the Turing architecture (2018) while the RTX PRO 6000 uses Blackwell (2025). The RTX PRO 6000 delivers 16.7x the FP16 throughput and 4.0x the memory bandwidth of the RTX 2070.