Specifications Compared
| Spec | RTX-3080 | RTX-6000-ADA |
|---|---|---|
| TDP | 320W | 300W |
| VRAM | 10-12 GB | 48 GB |
| CUDA Cores | 8,704 | 18,176 |
| Memory Type | GDDR6X | GDDR6 |
| Architecture | Ampere | Ada Lovelace |
| Form Factors | PCIe | PCIe |
| Interconnect | NVLink | |
| Tensor Cores | 272 | 568 |
| FP16 Performance | 29.8 TFLOPS | 91.1 TFLOPS |
| FP32 Performance | 29.8 TFLOPS | 91.1 TFLOPS |
| Memory Bandwidth | 760 GB/s | 960 GB/s |
Performance Analysis
The RTX 6000 Ada's 91.1 TFLOPS in FP16 and FP32 dwarfs the RTX 3080's 29.8 TFLOPS, enabling roughly three times faster compute for half-precision training and inference tasks common in deep learning. This FP16 and FP32 parity on both GPUs supports efficient mixed-precision workflows, but the Ada's superior throughput accelerates convergence in training loops and reduces latency in inference serving.
Memory bandwidth stands out as a critical factor: 960 GB/s on the RTX 6000 Ada versus 760 GB/s on the RTX 3080 allows larger batch sizes without bottlenecks, vital for stable training of large language models where data movement dominates. The RTX 6000 Ada's 48 GB VRAM capacity handles models exceeding 10 to 12 GB on the RTX 3080, preventing out-of-memory errors in high-resolution tasks. Despite a lower 300 W TDP compared to 320 W, the Ada architecture sustains higher performance density.
In real-world scenarios, these specs translate to the RTX 6000 Ada excelling in memory-intensive applications, while the RTX 3080 suffices for lighter loads but risks swapping or quantization.
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 3080
The RTX 3080 suits budget-conscious users targeting small to medium models fitting within 10 to 12 GB GDDR6X VRAM. Its pricing from $0.06 per hour average $0.15 per hour across 10 offers undercuts the RTX 6000 Ada's average $1.33 per hour, ideal for prototyping, inference on quantized models, or Stable Diffusion at 512x512 resolutions.
When to Choose the RTX 6000 Ada
Opt for the RTX 6000 Ada when workloads demand 48 GB GDDR6 VRAM for full-precision large language models or multi-modal training. NVLink interconnect enables seamless multi-GPU setups, and 91.1 TFLOPS with 960 GB/s bandwidth outperform the RTX 3080 in fine-tuning or scientific simulations requiring high throughput.
Use Cases
The RTX 6000 Ada's 48 GB VRAM accommodates large parameter counts without splitting batches, unlike the RTX 3080's 10 to 12 GB limit. Its 91.1 TFLOPS accelerates convergence over the 29.8 TFLOPS baseline.
Higher 960 GB/s bandwidth and 91.1 TFLOPS enable low-latency serving of unquantized models on the RTX 6000 Ada. The RTX 3080 struggles with memory constraints for production-scale deployments.
RTX 6000 Ada's 48 GB capacity supports full fine-tuning datasets, paired with NVLink for multi-GPU efficiency. RTX 3080's lower 760 GB/s bandwidth limits batch sizes.
RTX 3080 handles standard 10 GB model loads at $0.15 per hour average, sufficient for 512x512 generations. RTX 6000 Ada excels in high-res or batch jobs with 48 GB VRAM.
RTX 6000 Ada's 91.1 TFLOPS FP32 and NVLink suit parallel simulations. RTX 3080's 29.8 TFLOPS falls short for complex HPC workloads.
Frequently Asked Questions
Which GPU has more VRAM: RTX 3080 or RTX 6000 Ada?▾
The RTX 6000 Ada offers 48 GB GDDR6 VRAM, far exceeding the RTX 3080's 10 to 12 GB GDDR6X. This enables larger models on the Ada without memory errors. Bandwidth also favors Ada at 960 GB/s over 760 GB/s.
How do compute performances compare between RTX 3080 and RTX 6000 Ada?▾
RTX 6000 Ada delivers 91.1 TFLOPS in FP16 and FP32, over three times the RTX 3080's 29.8 TFLOPS. This boosts training and inference speeds significantly. Both maintain FP16 FP32 parity for mixed precision.
What are the cloud pricing differences for these GPUs?▾
RTX 3080 starts at $0.06 per hour average $0.15 per hour across 10 offers, cheaper than RTX 6000 Ada's $0.09 per hour average $1.33 per hour across 37 offers. Budget tasks favor RTX 3080. High-end needs justify Ada's cost.
Does RTX 6000 Ada support multi-GPU better than RTX 3080?▾
RTX 6000 Ada includes NVLink interconnect for high-speed multi-GPU communication, absent on RTX 3080. This aids scaling in training clusters. Both use PCIe form factors.
Which has lower power consumption?▾
RTX 6000 Ada has a 300 W TDP, slightly below RTX 3080's 320 W. Despite lower power, it achieves 91.1 TFLOPS versus 29.8 TFLOPS. Efficiency favors Ada for dense deployments.
Is RTX 3080 still viable for AI in 2024?▾
RTX 3080 remains viable for small models within 10 to 12 GB VRAM at low $0.06 per hour pricing. It lags behind RTX 6000 Ada's 48 GB and 91.1 TFLOPS for current large-scale AI. Use it for cost-effective prototyping.
Which is cheaper to rent, the RTX 3080 or the RTX 6000 Ada?▾
Cloud rental prices for both the RTX 3080 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 3080 have compared to the RTX 6000 Ada?▾
The RTX 3080 has 10 to 12 GB of GDDR6X memory. The RTX 6000 Ada has 48 GB of GDDR6 memory.
Can I find RTX 3080 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 3080 and the RTX 6000 Ada?▾
The RTX 3080 uses the Ampere architecture (2020) while the RTX 6000 Ada uses Ada Lovelace (2022). The RTX 6000 Ada delivers 3.1x the FP16 throughput and 1.3x the memory bandwidth of the RTX 3080.