RTX 5080VSNVIDIA L40s
AI基准测试对决 2026
RTX 5080
Blackwell16GB
$999-1100
消费级
High-End
NVIDIA L40s
Ada Lovelace48GB
$8,000-10000
企业级
Professional
LLM Inference
| 模型 | RTX 5080 | NVIDIA L40s | 胜者 |
|---|---|---|---|
Typhoon2.5-Qwen3-4B越高越好 | 1,013tok/s | 1,523tok/s | NVIDIA L40s |
GPT-OSS-20B越高越好 | 无法运行 | 910tok/s | NVIDIA L40s |
Qwen3-4B-Instruct-FP8越高越好 | N/A | N/A | N/A |
Vision-Language
| 模型 | RTX 5080 | NVIDIA L40s | 胜者 |
|---|---|---|---|
Qwen3-VL-4B越高越好 | 895tok/s | 1,050tok/s | NVIDIA L40s |
Qwen3-VL-8B越高越好 | 403tok/s | 746tok/s | NVIDIA L40s |
Typhoon-OCR-3B越高越好 | 394tok/s | 2,419tok/s | NVIDIA L40s |
Image Generation
| 模型 | RTX 5080 | NVIDIA L40s | 胜者 |
|---|---|---|---|
Qwen-Image越低越好 | 106.00sec | 102.00sec | NVIDIA L40s |
Qwen-Image-Edit越低越好 | 114.00sec | 104.00sec | NVIDIA L40s |
Video Generation
| 模型 | RTX 5080 | NVIDIA L40s | 胜者 |
|---|---|---|---|
Wan2.2-5B越低越好 | 712.00sec | 412.00sec | NVIDIA L40s |
Wan2.2-14B越低越好 | 2067.00sec | 940.00sec | NVIDIA L40s |
Speech-to-Text
| 模型 | RTX 5080 | NVIDIA L40s | 胜者 |
|---|---|---|---|
Typhoon-ASR越高越好 | 0.344xx realtime | 0.364xx realtime | NVIDIA L40s |
赢家分析
深入了解每款GPU基于技术规格的性能差异原因
技术分析摘要
NVIDIA L40s wins 10 out of 10 benchmarks, excelling in LLM Inference and Vision-Language. Its substantial VRAM capacity provides a decisive advantage for AI inference workloads.
主要差异
- RTX 5080 uses Blackwell architecture while NVIDIA L40s uses Ada Lovelace
- RTX 5080 features next-gen GDDR7 memory
- RTX 5080 offers consumer pricing vs NVIDIA L40s's enterprise cost
- NVIDIA L40s has 48GB VRAM for larger models
LLM Inference
NVIDIA L40s wins in LLM inference because larger VRAM (48GB) allows running bigger models without quantization.
Vision-Language
NVIDIA L40s excels at vision-language tasks due to more VRAM (48GB) handles larger image batches efficiently, and 4th Gen Tensor Cores accelerate cross-attention between visual and text features.
Image Generation
NVIDIA L40s generates images faster with lower latency per generation.
Video Generation
NVIDIA L40s dominates video generation with significantly more VRAM (48GB) maintains temporal coherence across frames, and large VRAM capacity enables running advanced video generation models.
Speech-to-Text
NVIDIA L40s excels at speech-to-text because 4th Gen Tensor Cores accelerate attention-based speech recognition.
技术规格
RTX 5080
NVIDIA L40s
总体胜者
NVIDIA L40s
10 胜出 10 benchmarks
0
RTX 5080
10
NVIDIA L40s
RTX 5080 优势
- Significantly lower cost
- Easier availability
NVIDIA L40s 优势
- More VRAM (48GB vs 16GB)
- Strong in LLM Inference
- Dominates in Vision-Language
- Dominates in Image Generation
Frequently Asked Questions
NVIDIA L40s outperforms RTX 5080 in 10 out of 10 AI benchmarks. The NVIDIA L40s's Ada Lovelace architecture features 4th generation Tensor Cores with DLSS 3 Frame Generation and improved ray tracing performance. With 864 GB/s memory bandwidth and 48GB GDDR6 memory, it delivers superior throughput for AI inference workloads.
RTX 5080 has 16GB of GDDR7 memory with 960 GB/s bandwidth. NVIDIA L40s has 48GB of GDDR6 memory with 864 GB/s bandwidth. Higher memory bandwidth generally results in faster token generation for large language models.
NVIDIA L40s is faster for LLM inference. LLM performance is heavily dependent on memory bandwidth - NVIDIA L40s's 864 GB/s GDDR6 enables faster token generation compared to RTX 5080's 960 GB/s.
RTX 5080 has a TDP of 360W while NVIDIA L40s has a TDP of 350W. NVIDIA L40s is more power efficient, making it suitable for deployments with power constraints. For cloud deployments, consider Float16.cloud where you can access these GPUs without managing power infrastructure.
RTX 5080 is priced around $999-1100 (consumer market), while NVIDIA L40s costs approximately $8,000-10000 (enterprise/datacenter). Note that RTX 5080 is a consumer GPU while NVIDIA L40s is an enterprise solution with different support and warranty terms.