NVIDIA L40sVSNVIDIA H100
AI Benchmark Battle 2026
NVIDIA L40s
Ada Lovelace48GB
$8,000-10000
องค์กร
Professional
NVIDIA H100
Hopper80GB
$25,000-30000
องค์กร
Data Center
ระดับ Concurrency ต่างกัน
NVIDIA H100 ทดสอบที่ 128 concurrent requests (workload ระดับ datacenter) ขณะที่ NVIDIA L40s ทดสอบที่ 16 concurrent requests (โหลดทั่วไป) Concurrency สูงแสดง throughput แต่อาจไม่สะท้อน latency ของผู้ใช้เดี่ยว
LLM Inference
| โมเดล | NVIDIA L40s | NVIDIA H100 | ผู้ชนะ |
|---|---|---|---|
Typhoon2.5-Qwen3-4Bยิ่งสูงยิ่งดี | 1,523tok/s | 9,931tok/s | NVIDIA H100 |
GPT-OSS-20Bยิ่งสูงยิ่งดี | 910tok/s | 8,553tok/s | NVIDIA H100 |
Qwen3-4B-Instruct-FP8ยิ่งสูงยิ่งดี | N/A | N/A | N/A |
Vision-Language
| โมเดล | NVIDIA L40s | NVIDIA H100 | ผู้ชนะ |
|---|---|---|---|
Qwen3-VL-4Bยิ่งสูงยิ่งดี | 1,050tok/s | 7,790tok/s | NVIDIA H100 |
Qwen3-VL-8Bยิ่งสูงยิ่งดี | 746tok/s | 7,035tok/s | NVIDIA H100 |
Typhoon-OCR-3Bยิ่งสูงยิ่งดี | 2,419tok/s | 14,019tok/s | NVIDIA H100 |
Image Generation
| โมเดล | NVIDIA L40s | NVIDIA H100 | ผู้ชนะ |
|---|---|---|---|
Qwen-Imageยิ่งต่ำยิ่งดี | 102.00sec | 28.00sec | NVIDIA H100 |
Qwen-Image-Editยิ่งต่ำยิ่งดี | 104.00sec | 29.00sec | NVIDIA H100 |
Video Generation
| โมเดล | NVIDIA L40s | NVIDIA H100 | ผู้ชนะ |
|---|---|---|---|
Wan2.2-5Bยิ่งต่ำยิ่งดี | 412.00sec | 180.00sec | NVIDIA H100 |
Wan2.2-14Bยิ่งต่ำยิ่งดี | 940.00sec | 404.00sec | NVIDIA H100 |
Speech-to-Text
| โมเดล | NVIDIA L40s | NVIDIA H100 | ผู้ชนะ |
|---|---|---|---|
Typhoon-ASRยิ่งสูงยิ่งดี | 0.364xx realtime | 0.392xx realtime | NVIDIA H100 |
วิเคราะห์ผู้ชนะ
เจาะลึกว่าทำไม GPU แต่ละตัวมีประสิทธิภาพต่างกันตามสเปคเทคนิค
สรุปการวิเคราะห์ทางเทคน ิค
NVIDIA H100 wins 10 out of 10 benchmarks, excelling in LLM Inference and Vision-Language. Its HBM3 memory bandwidth provides a decisive advantage for AI inference workloads.
ความแตกต่างหลัก
- NVIDIA L40s uses Ada Lovelace architecture while NVIDIA H100 uses Hopper
- NVIDIA H100's HBM3 memory provides exceptional bandwidth for AI workloads
LLM Inference
NVIDIA H100 wins in LLM inference because NVIDIA H100's superior memory bandwidth (3.4TB/s vs 864GB/s) enables faster token generation, and HBM3 memory provides exceptional bandwidth for memory-bound LLM operations.
Vision-Language
NVIDIA H100 excels at vision-language tasks due to higher memory bandwidth accelerates image token processing, and more VRAM (80GB) handles larger image batches efficiently.
Image Generation
NVIDIA H100 leads in image generation because faster memory enables quicker diffusion iterations, and Hopper architecture optimizations accelerate denoising operations.
Video Generation
NVIDIA H100 dominates video generation with significantly more VRAM (80GB) maintains temporal coherence across frames, and 3.4TB/s bandwidth handles high-throughput video data.
Speech-to-Text
NVIDIA H100 excels at speech-to-text because superior memory bandwidth enables faster audio feature processing, and 4th Gen Tensor Cores accelerate attention-based speech recognition.
ข้อมูลจำเพาะทางเทคนิค
NVIDIA L40s
NVIDIA H100
ผู้ชนะโดยรวม
NVIDIA H100
10 ชนะจาก 10 benchmarks
0
NVIDIA L40s
10
NVIDIA H100
NVIDIA L40s ข้อได้เปรียบ
- -
NVIDIA H100 ข้อได้เปรียบ
- More VRAM (80GB vs 48GB)
- Strong in LLM Inference
- Dominates in Vision-Language
- Dominates in Image Generation
Frequently Asked Questions
NVIDIA H100 outperforms NVIDIA L40s in 10 out of 10 AI benchmarks. The NVIDIA H100's Hopper architecture features the Transformer Engine with FP8 precision, specifically designed for large language models and transformer-based AI workloads. With 3.4 TB/s memory bandwidth and 80GB HBM3 memory, it delivers superior throughput for AI inference workloads.
NVIDIA L40s has 48GB of GDDR6 memory with 864 GB/s bandwidth. NVIDIA H100 has 80GB of HBM3 memory with 3.4 TB/s bandwidth. NVIDIA H100's HBM3 memory provides exceptional bandwidth for memory-bound AI workloads like LLM inference.
NVIDIA H100 is faster for LLM inference. LLM performance is heavily dependent on memory bandwidth - NVIDIA H100's 3.4 TB/s HBM3 enables faster token generation compared to NVIDIA L40s's 864 GB/s.
NVIDIA L40s has a TDP of 350W while NVIDIA H100 has a TDP of 700W. 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.
NVIDIA L40s is priced around $8,000-10000 (enterprise/datacenter), while NVIDIA H100 costs approximately $25,000-30000 (enterprise/datacenter).