NVIDIA L4VSNVIDIA L40s
AI基准测试对决 2026
NVIDIA L4
Ada Lovelace24GB
$2,500-3000
企业级
Cloud
NVIDIA L40s
Ada Lovelace48GB
$8,000-10000
企业级
Professional
LLM Inference
| 模型 | NVIDIA L4 | NVIDIA L40s | 胜者 |
|---|---|---|---|
Typhoon2.5-Qwen3-4B越高越好 | 529tok/s | 1,523tok/s | NVIDIA L40s |
GPT-OSS-20B越高越好 | 542tok/s | 910tok/s | NVIDIA L40s |
Qwen3-4B-Instruct-FP8越高越好 | N/A | N/A | N/A |
Vision-Language
| 模型 | NVIDIA L4 | NVIDIA L40s | 胜者 |
|---|---|---|---|
Qwen3-VL-4B越高越好 | 445tok/s | 1,050tok/s | NVIDIA L40s |
Qwen3-VL-8B越高越好 | 298tok/s | 746tok/s | NVIDIA L40s |
Typhoon-OCR-3B越高越好 | 879tok/s | 2,419tok/s | NVIDIA L40s |
Image Generation
| 模型 | NVIDIA L4 | NVIDIA L40s | 胜者 |
|---|---|---|---|
Qwen-Image越低越好 | 189.00sec | 102.00sec | NVIDIA L40s |
Qwen-Image-Edit越低越好 | 193.00sec | 104.00sec | NVIDIA L40s |
Video Generation
| 模型 | NVIDIA L4 | NVIDIA L40s | 胜者 |
|---|---|---|---|
Wan2.2-5B越低越好 | 1527.00sec | 412.00sec | NVIDIA L40s |
Wan2.2-14B越低越好 | 3214.00sec | 940.00sec | NVIDIA L40s |
Speech-to-Text
| 模型 | NVIDIA L4 | NVIDIA L40s | 胜者 |
|---|---|---|---|
Typhoon-ASR越高越好 | 0.321xx 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 exceptional memory bandwidth provides a decisive advantage for AI inference workloads.
主要差异
- NVIDIA L40s has 48GB VRAM for larger models
- NVIDIA L4 is significantly more power efficient (72W)
LLM Inference
NVIDIA L40s wins in LLM inference because NVIDIA L40s's superior memory bandwidth (864GB/s vs 300GB/s) enables faster token generation, and larger VRAM (48GB) allows running bigger models without quantization.
Vision-Language
NVIDIA L40s excels at vision-language tasks due to higher memory bandwidth accelerates image token processing, and more VRAM (48GB) handles larger image batches efficiently.
Image Generation
NVIDIA L40s leads in image generation because faster memory enables quicker diffusion iterations.
Video Generation
NVIDIA L40s dominates video generation with significantly more VRAM (48GB) maintains temporal coherence across frames, and 864GB/s bandwidth handles high-throughput video data.
Speech-to-Text
NVIDIA L40s excels at speech-to-text because superior memory bandwidth enables faster audio feature processing, and 4th Gen Tensor Cores accelerate attention-based speech recognition.
技术规格
NVIDIA L4
NVIDIA L40s
总体胜者
NVIDIA L40s
10 胜出 10 benchmarks
0
NVIDIA L4
10
NVIDIA L40s
NVIDIA L4 优势
- Much lower power consumption
NVIDIA L40s 优势
- More VRAM (48GB vs 24GB)
- Strong in LLM Inference
- Dominates in Vision-Language
- Dominates in Image Generation
Frequently Asked Questions
NVIDIA L40s outperforms NVIDIA L4 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.
NVIDIA L4 has 24GB of GDDR6 memory with 300 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 NVIDIA L4's 300 GB/s.
NVIDIA L4 has a TDP of 72W while NVIDIA L40s has a TDP of 350W. NVIDIA L4 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.
NVIDIA L4 is priced around $2,500-3000 (enterprise/datacenter), while NVIDIA L40s costs approximately $8,000-10000 (enterprise/datacenter).