Universal AI and graphics
NVIDIA L40S
Ada Lovelace · 48 GB PCIe
Memory
48 GB GDDR6 ECC
48 GB GDDR6 ECC
Bandwidth
864 GB/s
864 GB/s
FP8 Tensor performance
1,466 TFLOPS*
1,466 TFLOPS*
Maximum power
350W
350W
Independently verified GPU comparison Updated July 15, 2025
NVIDIA L40S vs H200 NVL
Compare architecture, memory, AI performance, graphics, multi-GPU capabilities and rental pricing using official NVIDIA specifications and current AceCloud configurations.
High-memory AI and HPC
NVIDIA H200 NVL
Hopper · 141 GB PCIe
Memory
141 GB HBM3e
141 GB HBM3e
Bandwidth
4.8 TB/s
4.8 TB/s
FP8 Tensor performance
3,341 TFLOPS*
3,341 TFLOPS*
Maximum power
Up to 600W
Up to 600W
The honest take: Choose L40S for cost-efficient generative AI, image generation, rendering, video and workloads fitting within 48 GB. Choose H200 NVL when 141 GB memory, extreme bandwidth, FP64, MIG or NVLink directly improves workload performance. H200 NVL costs approximately 2.68× more, so its additional capabilities should solve a measurable bottleneck.
Quick answer
Which GPU fits your workload?
A workload-first view of where L40S controls cost and where H200 NVL unlocks greater scale.
Generative AI within 48 GB
LLM, image-generation and multimodal workloads with moderate memory needs
L40S L40S combines FP8, fourth-generation Tensor Cores and strong graphics capabilities at a substantially lower rental price. It is the practical choice when the complete workload fits within 48 GB.
Large-model inference
70B-class models, larger KV caches and memory-heavy serving
H200 NVL H200 NVL provides 141 GB HBM3e and 4.8 TB/s bandwidth. It better supports large models, longer contexts, larger batches and higher concurrency without aggressive memory optimization.
Rendering and virtual production
Ray tracing, Omniverse, visualization and professional graphics
L40S L40S provides third-generation RT Cores, DisplayPort outputs, NVENC, NVDEC and AV1 support. H200 NVL is an AI and HPC accelerator rather than a professional graphics GPU.
Training and full fine-tuning
Large models, activations and optimizer states exceeding 48 GB
H200 NVL H200 NVL provides nearly three times the memory, 5.56× the bandwidth and NVLink connectivity. These advantages matter for memory-intensive and distributed training.
Cost-controlled production AI
Inference and mixed workloads that fit comfortably within 48 GB
L40S L40S starts ₹139,775 lower per month. It offers stronger commercial value when H200 NVL’s additional memory, bandwidth and scaling features would remain underused.
HPC and scientific computing
FP64 simulations, scientific modeling and bandwidth-heavy analytics
H200 NVL H200 NVL provides FP64 acceleration, HBM3e memory and high-bandwidth NVLink. NVIDIA does not position L40S as a double-precision HPC accelerator.
Side by side
Full technical specifications
Every technical figure below is based on NVIDIA’s official L40S and H200 specifications.
NVIDIA L40S and NVIDIA H200 technical specification comparison
| Specification | NVIDIA L40S | NVIDIA H200 NVL |
|---|---|---|
| Architecture | Ada Lovelace | Hopper |
| GPU memory | 48 GB GDDR6 ECC | 141 GB HBM3e |
| Memory bandwidth | 864 GB/s | 4.8 TB/s |
| FP64 | Not listed | 30 TFLOPS |
| FP64 Tensor Core | Not listed | 60 TFLOPS |
| FP32 | 91.6 TFLOPS | 60 TFLOPS |
| TF32 Tensor Core, sparse | 366 TFLOPS | 835 TFLOPS |
| BF16 Tensor Core, sparse | 733 TFLOPS | 1,671 TFLOPS |
| FP16 Tensor Core, sparse | 733 TFLOPS | 1,671 TFLOPS |
| FP8 Tensor Core, sparse | 1,466 TFLOPS | 3,341 TFLOPS |
| RT Core performance | 212 TFLOPS | Not listed |
| Video encoders | 3 NVENC | Not listed |
| Video decoders | 3 NVDEC | 7 NVDEC |
| JPEG decoders | Not separately listed | 7 |
| AV1 encoding and decoding | Supported | Encoding not listed |
| MIG support | No | Up to 7 instances at 16.5 GB |
| NVLink | No | 2-way or 4-way bridge, 900 GB/s per GPU |
| PCIe interface | PCIe Gen4 x16, 64 GB/s | PCIe Gen5, 128 GB/s |
| Display outputs | 4× DisplayPort 1.4a | None listed |
| Form factor | Dual-slot PCIe | Dual-slot PCIe |
| Cooling | Passive | Air-cooled |
| Maximum power | 350W | Up to 600W |
| AceCloud configurations | 1×, 2× and 4× | 1×, 2× and 4× |
A30 costs approximately 2.6× more per month, but delivers over 9× the theoretical FP16 and INT8 Tensor performance with sparsity. If the workload can use that additional throughput, A30 may provide a lower cost per completed job or inference despite its higher monthly rate.
Straight comparison
How do L40S and H200 NVL differ in performance?
Raw specifications translated into simple relative performance. Longer bars indicate higher output.
GPU memory
GB L40S
H200 NVL
Memory bandwidth
GB/s L40S
H200 NVL
FP8 Tensor performance
TFLOPS L40S
H200 NVL
FP32 performance
TFLOPS L40S
H200 NVL
Disclaimer: These are theoretical specifications, not application benchmarks. Performance depends on model architecture, precision, framework, batch size, context length and infrastructure configuration.
What you pay
NVIDIA L40S vs H200 NVL rental pricing
Current entry-level Noida pricing for Linux instances, excluding taxes:
NVIDIA L40S 48 GB
- 1× L40S
- 16 vCPUs
- 64 GB RAM
- ₹142.12/hour
- ₹83,000/month
NVIDIA H200 NVL 141 GB
- 1× H200 NVL
- 16 vCPUs
- 128 GB RAM
- ₹381.46/hour
- ₹222,775/month
A30 costs approximately 2.6× more per month, but delivers over 9× the theoretical FP16 and INT8 Tensor performance with sparsity. If the workload can use that additional throughput, A30 may provide a lower cost per completed job or inference despite its higher monthly rate.
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