Specifications Compared
| Spec | RTX-2070 | RTX-6000-ADA |
|---|---|---|
| TDP | 175W | 300W |
| VRAM | 8 GB | 48 GB |
| CUDA Cores | 2,304 | 18,176 |
| Memory Type | GDDR6 | GDDR6 |
| Architecture | Turing | Ada Lovelace |
| Form Factors | PCIe | PCIe |
| Interconnect | NVLink | NVLink |
| Tensor Cores | 288 | 568 |
| FP16 Performance | 7.5 TFLOPS | 91.1 TFLOPS |
| FP32 Performance | 7.5 TFLOPS | 91.1 TFLOPS |
| Memory Bandwidth | 448 GB/s | 960 GB/s |
Performance Analysis
Compute capabilities reveal a substantial gap: the RTX 6000 Ada delivers 91.1 TFLOPS in FP16 and FP32, exceeding the RTX 2070 SUPER's 9.1 TFLOPS by a factor of 10. This disparity accelerates neural network training and inference, particularly in mixed-precision workflows where FP16 optimizes speed without accuracy loss.
Memory specifications further favor the RTX 6000 Ada. Its 48 GB VRAM supports models too large for the RTX 2070 SUPER's 8 GB limit, enabling larger batch sizes and reduced swapping. The 960 GB/s bandwidth compared to 448 GB/s minimizes data transfer bottlenecks, enhancing throughput in memory-intensive operations like large-scale training.
Higher TDP of 300 W on the RTX 6000 Ada reflects its sustained performance potential versus the 215 W on the RTX 2070 SUPER.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
RTX 6000 Ada Generation
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 RunPod | NVIDIA RTX 6000 Ada Generation 48GB VRAM | 48GB | 16 vCPU 188GB RAM | 🌍global | $0.50/GPU/hr | |||
RunPod | NVIDIA RTX 6000 Ada Generation 48GB VRAM | 48GB | 10 vCPU 167GB RAM | 🌍global | $0.77/GPU/hr | |||
 Massed Compute | NVIDIA RTX 6000 Ada Generation 48GB VRAM | 48GB | 12 vCPU 72GB RAM 350GB Storage | Iowa | $0.79/GPU/hr | Available | ||
Massed Compute | 2×NVIDIA RTX 6000 Ada Generation 48GB VRAM | 48GB | 26 vCPU 144GB RAM 700GB Storage | Iowa | $0.79/GPU/hr $1.58/hr total (2×) | Available | ||
Massed Compute | 4×NVIDIA RTX 6000 Ada Generation 48GB VRAM | 48GB | 52 vCPU 288GB RAM 1400GB Storage | Iowa | $0.79/GPU/hr $3.16/hr total (4×) | Available |
When to Choose the RTX 2070 SUPER
The RTX 2070 SUPER suits budget-limited or low-demand scenarios. Tasks with models fitting within 8 GB VRAM, such as small-scale inference or prototyping CNNs, leverage its 9.1 TFLOPS efficiently. Its 215 W TDP fits power-sensitive setups.
Absence of live cloud offers positions it for on-premise use or legacy environments where initial costs matter more than peak performance.
When to Choose the RTX 6000 Ada Generation
The RTX 6000 Ada is ideal for production-grade workloads. Applications needing over 8 GB VRAM, like training billion-parameter models, utilize its 48 GB capacity fully. The 960 GB/s bandwidth supports high-batch training without delays.
Cloud pricing from $0.20 per hour, averaging $1.19 per hour across 55 offers, makes it accessible for scalable AI pipelines.
Use Cases
LLM training requires extensive VRAM and compute power. The RTX 6000 Ada's 48 GB and 91.1 TFLOPS handle massive models, while the RTX 2070 SUPER's 8 GB limits scale.
Large LLMs demand high memory for batching. RTX 6000 Ada's 48 GB VRAM and 91.1 TFLOPS ensure low-latency serving beyond RTX 2070 SUPER capabilities.
Fine-tuning mid-to-large models exceeds 8 GB VRAM often. RTX 6000 Ada's 48 GB and superior bandwidth provide flexibility.
Basic Stable Diffusion runs within 8 GB on RTX 2070 SUPER at 9.1 TFLOPS. RTX 6000 Ada accelerates high-resolution generations with 48 GB.
Simulations benefit from 91.1 TFLOPS and 960 GB/s bandwidth. RTX 6000 Ada outperforms RTX 2070 SUPER in complex datasets.
Frequently Asked Questions
What is the performance difference between RTX 2070 SUPER and RTX 6000 Ada?▾
The RTX 6000 Ada provides 91.1 TFLOPS in FP16 and FP32. The RTX 2070 SUPER offers 9.1 TFLOPS in both, yielding about 10 times less compute capacity. This impacts training and inference speeds directly.
How much VRAM do these GPUs have?▾
RTX 2070 SUPER features 8 GB GDDR6 VRAM. RTX 6000 Ada has 48 GB GDDR6, supporting six times larger models or batches.
What are the memory bandwidth specs?▾
RTX 2070 SUPER delivers 448 GB/s bandwidth. RTX 6000 Ada achieves 960 GB/s, doubling data throughput for memory-bound tasks.
What is the TDP for each GPU?▾
The RTX 2070 SUPER has a 215 W TDP. RTX 6000 Ada requires 300 W for its higher performance envelope.
Are there cloud rental prices available?▾
No live offers exist for RTX 2070 SUPER currently. RTX 6000 Ada starts at $0.20 per hour, with an average of $1.19 per hour across 55 offers.
Which architecture do they use?▾
RTX 2070 SUPER uses Turing from 2019. RTX 6000 Ada employs Ada Lovelace from 2022, bringing efficiency gains.
Which is cheaper to rent, the RTX 2070 or the RTX 6000 Ada?▾
Cloud rental prices for both the RTX 2070 and RTX 6000 Ada 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 6000 Ada?▾
The RTX 2070 has 8 GB of GDDR6 memory. The RTX 6000 Ada has 48 GB of GDDR6 memory.
Can I find RTX 2070 and RTX 6000 Ada 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 6000 Ada?▾
The RTX 2070 uses the Turing architecture (2018) while the RTX 6000 Ada uses Ada Lovelace (2022). The RTX 6000 Ada delivers 12.1x the FP16 throughput and 2.1x the memory bandwidth of the RTX 2070.