Specifications Compared
| Spec | RTX-5070 | RTX-6000-ADA |
|---|---|---|
| TDP | 250W | 300W |
| VRAM | 12 GB | 48 GB |
| CUDA Cores | 6,144 | 18,176 |
| Memory Type | GDDR7 | GDDR6 |
| Architecture | Blackwell | Ada Lovelace |
| Form Factors | PCIe | PCIe |
| Interconnect | NVLink | |
| Tensor Cores | 192 | 568 |
| FP16 Performance | 40.6 TFLOPS | 91.1 TFLOPS |
| FP32 Performance | 40.6 TFLOPS | 91.1 TFLOPS |
| INT8 Performance | 650 TOPS | 1,457 TOPS |
| Memory Bandwidth | 448 GB/s | 960 GB/s |
Performance Analysis
The RTX 6000 Ada outperforms the RTX 5070 in raw compute with 91.1 TFLOPS FP16 and FP32 versus 40.6 TFLOPS, enabling faster matrix operations critical for machine learning training and inference. This delta means training epochs complete quicker on the RTX 6000 Ada, potentially halving times for models fitting within its 48 GB VRAM. Inference benefits similarly, supporting higher throughput for real-time applications. Memory bandwidth plays a key role: 960 GB/s on the RTX 6000 Ada versus 448 GB/s on the RTX 5070 allows larger batch sizes without bottlenecks, vital for stable training of large language models where data movement dominates. The RTX 5070's 12 GB VRAM limits it to smaller models or quantized inference, while the RTX 6000 Ada's capacity handles full-precision giants. Power draw reflects this: 300W TDP for RTX 6000 Ada versus 250W, with NVLink interconnect aiding multi-GPU scaling absent on the RTX 5070.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
RTX 6000 Ada
| 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 | 8×NVIDIA RTX 6000 Ada Generation 48GB VRAM | 48GB | 104 vCPU 640GB RAM 2800GB Storage | Iowa | $0.79/GPU/hr $6.32/hr total (8×) | 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 5070
The RTX 5070 suits budget-conscious users targeting lightweight AI inference or fine-tuning where 12 GB VRAM suffices. Its $0.08 per hour starting price and 40.6 TFLOPS performance deliver value for Stable Diffusion or small model prototyping, especially at 250W TDP for efficient cloud runs. Newer Blackwell architecture offers future-proofing for tasks not demanding high VRAM.
When to Choose the RTX 6000 Ada
Opt for the RTX 6000 Ada in memory-intensive scenarios like training large LLMs requiring 48 GB VRAM and 960 GB/s bandwidth. NVLink enables seamless multi-GPU setups for scaled workloads, with 91.1 TFLOPS accelerating complex simulations. Despite $0.40 per hour entry, its capacity justifies costs for professional rendering or scientific computing.
Use Cases
The RTX 6000 Ada's 48 GB VRAM and 960 GB/s bandwidth support larger models and batch sizes critical for effective training. Its 91.1 TFLOPS FP16 outperforms the RTX 5070's 40.6 TFLOPS.
48 GB VRAM on the RTX 6000 Ada accommodates full-sized LLMs without quantization, paired with 91.1 TFLOPS for high throughput. RTX 5070's 12 GB limits it to smaller or optimized models.
RTX 5070 handles fine-tuning of models under 12 GB at low $0.08 per hour cost. RTX 6000 Ada excels for larger datasets with 48 GB VRAM.
RTX 5070's 12 GB GDDR7 and 448 GB/s bandwidth suffice for image generation at 40.6 TFLOPS and $0.21 per hour average. Cost savings outweigh RTX 6000 Ada's excess capacity.
RTX 6000 Ada's NVLink, 300W TDP scalability, and 91.1 TFLOPS FP32 suit parallel simulations. 48 GB VRAM manages large datasets better than RTX 5070's 12 GB.
Frequently Asked Questions
Which GPU has more VRAM?▾
The RTX 6000 Ada provides 48 GB GDDR6 VRAM, far exceeding the RTX 5070's 12 GB GDDR7. This makes the RTX 6000 Ada ideal for large models. The RTX 5070 fits smaller workloads.
How do their prices compare in the cloud?▾
RTX 5070 cloud pricing starts at $0.08 per hour, averaging $0.21 per hour across 6 offers. RTX 6000 Ada begins at $0.40 per hour, averaging $1.37 per hour over 33 offers. Cost favors RTX 5070 for light use.
What are the FP32 performance differences?▾
RTX 6000 Ada delivers 91.1 TFLOPS FP32, double the RTX 5070's 40.6 TFLOPS. This boosts training and simulations on RTX 6000 Ada. Both match FP16 to FP32 ratios.
Does either support NVLink?▾
RTX 6000 Ada includes NVLink for multi-GPU interconnects, enabling scaled clusters. RTX 5070 lacks this feature, relying on PCIe alone. NVLink aids high-end parallel tasks.
Which has higher memory bandwidth?▾
RTX 6000 Ada offers 960 GB/s bandwidth, more than double the RTX 5070's 448 GB/s. Higher bandwidth supports larger batches in ML. It reduces data transfer bottlenecks.
What are the TDP ratings?▾
RTX 5070 has a 250W TDP, lower than the RTX 6000 Ada's 300W. Lower TDP aids power-efficient deployments. Both fit PCIe slots.
Which is cheaper to rent, the RTX 5070 or the RTX 6000 Ada?▾
Cloud rental prices for both the RTX 5070 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 5070 have compared to the RTX 6000 Ada?▾
The RTX 5070 has 12 GB of GDDR7 memory. The RTX 6000 Ada has 48 GB of GDDR6 memory.
Can I find RTX 5070 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 5070 and the RTX 6000 Ada?▾
The RTX 5070 uses the Blackwell architecture (2025) while the RTX 6000 Ada uses Ada Lovelace (2022). The RTX 6000 Ada delivers 2.2x the FP16 throughput and 2.1x the memory bandwidth of the RTX 5070.