Specifications Compared
| Spec | RTX-3080 | RTX-A6000 |
|---|---|---|
| TDP | 320W | 300W |
| VRAM | 10-12 GB | 48 GB |
| CUDA Cores | 8,704 | 10,752 |
| Memory Type | GDDR6X | GDDR6 |
| Architecture | Ampere | Ampere |
| Form Factors | PCIe | PCIe |
| Interconnect | NVLink | |
| Tensor Cores | 272 | 336 |
| FP16 Performance | 29.8 TFLOPS | 38.7 TFLOPS |
| FP32 Performance | 29.8 TFLOPS | 38.7 TFLOPS |
| Memory Bandwidth | 760 GB/s | 768 GB/s |
Performance Analysis
The RTX A6000 outperforms the RTX 3080 Ti in raw compute with 38.7 TFLOPS FP16 and FP32 compared to 29.8 TFLOPS, translating to approximately 30 percent faster matrix operations critical for deep learning training and inference. This delta accelerates model convergence in training by processing more floating-point operations per second and reduces latency in inference for real-time applications. Memory bandwidth remains close at 768 GB/s for A6000 versus 760 GB/s for 3080 Ti, ensuring similar data throughput for most workloads, but the A6000's 48 GB VRAM versus 10 to 12 GB enables larger batch sizes without out-of-memory errors; for instance, training a 7 billion parameter LLM fits comfortably on A6000 but requires quantization on 3080 Ti. In training scenarios, higher TFLOPS on A6000 shortens epochs, while inference benefits from VRAM for concurrent requests. The 300W TDP of A6000 edges out the 320W of 3080 Ti for efficiency in dense deployments.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
RTX A6000
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 TensorDock | NVIDIA RTX A6000 48GB VRAM | 48GB | 0 vCPU 0GB RAM | Chubbuck, Idaho | $0.40/GPU/hr | Available | ||
 RunPod | NVIDIA RTX A6000 48GB VRAM | 48GB | 9 vCPU 50GB RAM | 🌍global | $0.49/GPU/hr | |||
 Hyperstack | NVIDIA RTX A6000 48GB VRAM | 48GB | 28 vCPU 58GB RAM 100GB Storage | Canada | $0.50/GPU/hr | Available | ||
Hyperstack | 2×NVIDIA RTX A6000 48GB VRAM | 48GB | 60 vCPU 116GB RAM 300GB Storage | Canada | $0.50/GPU/hr $1.00/hr total (2×) | Available | ||
 Massed Compute | NVIDIA RTX A6000 48GB VRAM | 48GB | 6 vCPU 32GB RAM 256GB Storage | Iowa | $0.55/GPU/hr | Available |
When to Choose the RTX 3080 Ti
Opt for the RTX 3080 Ti in budget-constrained environments where workloads fit within 10 to 12 GB VRAM. Its $0.08 per hour starting price and $0.14 average deliver strong 29.8 TFLOPS FP32 performance for fine-tuning small language models or running Stable Diffusion inference. The PCIe form factor suits single-GPU cloud instances without multi-node needs.
When to Choose the RTX A6000
Select the RTX A6000 for memory-intensive tasks demanding 48 GB VRAM and NVLink interconnect. Professional applications like large-scale LLM training or scientific simulations leverage its 38.7 TFLOPS and 768 GB/s bandwidth for scaled multi-GPU setups. Despite higher $1.05 average hourly cost, it excels where VRAM limits halt the 3080 Ti.
Use Cases
The RTX A6000's 48 GB VRAM supports full-precision training of large models without splitting, unlike the 10 to 12 GB on RTX 3080 Ti. Its 38.7 TFLOPS accelerates convergence over the 3080 Ti's 29.8 TFLOPS.
RTX 3080 Ti handles inference for models fitting in 12 GB at $0.14 average hourly cost with 29.8 TFLOPS FP16. Larger deployments favor A6000 only if VRAM exceeds 12 GB.
Fine-tuning mid-sized models uses under 12 GB VRAM, where 3080 Ti's 760 GB/s bandwidth and low $0.08 per hour pricing outperform A6000's higher cost.
Both GPUs manage Stable Diffusion within 10 to 12 GB VRAM limits; 3080 Ti suffices for cost savings, while A6000 aids batch processing with 48 GB.
RTX A6000's NVLink and 48 GB VRAM enable multi-GPU simulations; 38.7 TFLOPS FP32 handles complex datasets better than 3080 Ti's PCIe-only setup.
Frequently Asked Questions
Which GPU has more VRAM: RTX 3080 Ti or RTX A6000?▾
The RTX A6000 provides 48 GB GDDR6 VRAM, far exceeding the RTX 3080 Ti's 10 to 12 GB GDDR6X. This makes A6000 suitable for larger models. The 3080 Ti fits smaller workloads efficiently.
How do the TFLOPS compare between RTX 3080 Ti and RTX A6000?▾
RTX A6000 delivers 38.7 TFLOPS in FP16 and FP32, surpassing the RTX 3080 Ti's 29.8 TFLOPS by about 30 percent. This boosts training and inference speeds on A6000. Both share Ampere architecture.
What are the cloud pricing differences for these GPUs?▾
RTX 3080 Ti starts at $0.08 per hour averaging $0.14 across four offers. RTX A6000 begins at $0.25 per hour with $1.05 average over 59 offers. Price favors 3080 Ti for cost-sensitive tasks.
Which has higher memory bandwidth?▾
RTX A6000 offers 768 GB/s, slightly above RTX 3080 Ti's 760 GB/s. The difference minimally impacts most workloads. Both support high-throughput data movement.
What are the TDPs of RTX 3080 Ti and RTX A6000?▾
RTX 3080 Ti consumes 320W TDP, while RTX A6000 uses 300W. Lower TDP aids A6000 in power-limited clouds. Both fit PCIe form factors.
Does RTX A6000 support multi-GPU better than RTX 3080 Ti?▾
RTX A6000 includes NVLink for high-speed multi-GPU communication, absent on RTX 3080 Ti. This enhances scaled training. 3080 Ti relies on PCIe for single-node use.
Which is cheaper to rent, the RTX 3080 or the RTX A6000?▾
Cloud rental prices for both the RTX 3080 and RTX A6000 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 A6000?▾
The RTX 3080 has 10 to 12 GB of GDDR6X memory. The RTX A6000 has 48 GB of GDDR6 memory.
Can I find RTX 3080 and RTX A6000 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 A6000?▾
The RTX 3080 uses the Ampere architecture (2020) while the RTX A6000 uses Ampere (2020). The RTX A6000 delivers 1.3x the FP16 throughput and 1.0x the memory bandwidth of the RTX 3080.