NVIDIA L40SvsNVIDIA GB300
Comprehensive comparison for AI, machine learning, and high-performance computing workloads.
NVIDIA L40S
Ada Lovelace Architecture
NVIDIA GB300
Blackwell Architecture
Detailed Specifications
| Specification | NVIDIA L40S | NVIDIA GB300 |
|---|---|---|
| Architecture | Ada Lovelace | Blackwell |
| Release Year | 2023 | 2025 |
| VRAM | 48 GB | 256 GB+81.3% |
| Memory Type | GDDR6 | HBM3e |
| Memory Bandwidth | 864 GB/s | 10000 GB/s+91.4% |
| FP32 Performance | 91.6 TFLOPS | 120 TFLOPS+23.7% |
| FP16 Performance | 183 TFLOPS | 240 TFLOPS+23.8% |
| INT8 Performance | 733 TOPS | 4800 TOPS+84.7% |
| Tensor Cores | 18176 | 20480 |
| CUDA Cores | 18176 | N/A |
| TDP | 350W | 1200W |
| Form Factor | PCIe | SXM |
| NVLink Support | No | Yes |
| Avg. Price/Hour | $0.85 | $4.25+80% |
Performance Breakdown
Compute Performance
Single-precision floating-point performance for general compute workloads
NVIDIA GB300 is 23.7% faster
AI Training Performance
Half-precision performance optimized for deep learning training
NVIDIA GB300 is 23.8% faster
AI Inference Performance
Integer performance for efficient model inference and deployment
NVIDIA GB300 is 84.7% faster
Memory Bandwidth
Data transfer speed between GPU and memory
NVIDIA GB300 is 91.4% faster
NVIDIA GB300
NVIDIA GB300
NVIDIA L40S
NVIDIA L40S
Ideal Workloads
NVIDIA L40S
NVIDIA GB300
Cost Analysis
Hourly Rate
Daily Cost
Monthly Cost
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Frequently Asked Questions
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