NVIDIA RTX A6000vsNVIDIA RTX 4080
Comprehensive comparison for AI, machine learning, and high-performance computing workloads.
NVIDIA RTX A6000
Ampere Architecture
NVIDIA RTX 4080
Ada Lovelace Architecture
Detailed Specifications
| Specification | NVIDIA RTX A6000 | NVIDIA RTX 4080 |
|---|---|---|
| Architecture | Ampere | Ada Lovelace |
| Release Year | 2020 | 2022 |
| VRAM | 48 GB+200.0% | 16 GB |
| Memory Type | GDDR6 | GDDR6X |
| Memory Bandwidth | 768 GB/s+4.3% | 736 GB/s |
| FP32 Performance | 38.7 TFLOPS | 48.7 TFLOPS+20.5% |
| FP16 Performance | 77.4 TFLOPS | 97.4 TFLOPS+20.5% |
| INT8 Performance | 310 TOPS | 390 TOPS+20.5% |
| Tensor Cores | 10752 | 9728 |
| CUDA Cores | 10752 | 9728 |
| TDP | 300W | 320W |
| Form Factor | PCIe | Consumer |
| NVLink Support | Yes | No |
| Avg. Price/Hour | $0.7+100.0% | $0.35 |
Performance Breakdown
Compute Performance
Single-precision floating-point performance for general compute workloads
NVIDIA RTX 4080 is 20.5% faster
AI Training Performance
Half-precision performance optimized for deep learning training
NVIDIA RTX 4080 is 20.5% faster
AI Inference Performance
Integer performance for efficient model inference and deployment
NVIDIA RTX 4080 is 20.5% faster
Memory Bandwidth
Data transfer speed between GPU and memory
NVIDIA RTX A6000 is 4.3% faster
NVIDIA RTX 4080
NVIDIA RTX A6000
NVIDIA RTX 4080
NVIDIA RTX 4080
Ideal Workloads
NVIDIA RTX A6000
NVIDIA RTX 4080
Cost Analysis
Hourly Rate
Daily Cost
Monthly Cost
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Frequently Asked Questions
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