Specifications Compared
| Spec | H100 | L40S |
|---|---|---|
| TDP | 700W | 350W |
| VRAM | 80-94 GB | 48 GB |
| CUDA Cores | 16,896 | 18,176 |
| Memory Type | HBM3 | GDDR6X |
| Architecture | Hopper | Ada Lovelace |
| Form Factors | SXM5, PCIe, NVL | PCIe |
| Interconnect | NVLink, PCIe 5.0, InfiniBand | PCIe 4.0 |
| Tensor Cores | 528 | 568 |
| FP8 Performance | 3,958 TFLOPS | 724 TFLOPS |
| FP16 Performance | 1,979 TFLOPS | 362 TFLOPS |
| FP32 Performance | 67 TFLOPS | 91 TFLOPS |
| FP64 Performance | 34 TFLOPS | 1.4 TFLOPS |
| INT8 Performance | 3,958 TOPS | 724 TOPS |
| Memory Bandwidth | 3,350 GB/s | 864 GB/s |
Performance Analysis
The H100 PCIe dominates in FP16 performance at 1979 TFLOPS compared to the L40S's 362 TFLOPS, enabling faster AI model training where half-precision computations prevail. This disparity translates to the H100 handling larger batch sizes during training, reducing time per epoch significantly. For inference, the H100's 3958 TFLOPS FP8 rate versus 724 TFLOPS allows serving larger models at higher throughput.
Memory specifications further favor the H100: 80 to 94 GB HBM3 with 3350 GB/s bandwidth supports massive datasets and models that exceed the L40S's 48 GB GDDR6X and 864 GB/s. High bandwidth minimizes bottlenecks in data loading, crucial for training large language models with batch sizes over 100. The L40S edges FP32 at 91 TFLOPS over 67 TFLOPS, benefiting traditional graphics or simulation tasks less reliant on low-precision AI ops.
Power draw underscores efficiency differences: H100 at 700W demands robust cooling, while L40S at 350W fits denser deployments. Overall, H100 excels in scale, L40S in balanced lighter workloads.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
H100 PCIe
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Hyperstack | 4×NVIDIA H100 PCIe 80GB VRAM | 80GB | 124 vCPU 720GB RAM 3300GB Storage | Canada | $1.90/GPU/hr $7.60/hr total (4×) | Available | ||
Hyperstack | 2×NVIDIA H100 PCIe 80GB VRAM | 80GB | 60 vCPU 360GB RAM 1600GB Storage | Canada | $1.90/GPU/hr $3.80/hr total (2×) | Available | ||
Hyperstack | 8×NVIDIA H100 PCIe 80GB VRAM | 80GB | 252 vCPU 1440GB RAM 6600GB Storage | Canada | $1.90/GPU/hr $15.20/hr total (8×) | Available | ||
Hyperstack | NVIDIA H100 PCIe 80GB VRAM | 80GB | 28 vCPU 180GB RAM 850GB Storage | Canada | $1.90/GPU/hr | Available | ||
Hyperstack | 8×NVIDIA H100 PCIe 80GB VRAM | 80GB | 252 vCPU 1440GB RAM 6600GB Storage | Canada | $1.95/GPU/hr $15.60/hr total (8×) | Available |
L40S
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 TensorDock | NVIDIA L40S 48GB VRAM | 48GB | 0 vCPU 0GB RAM | Wolverhampton | $0.55/GPU/hr | Available | ||
 RunPod | NVIDIA L40S 48GB VRAM | 48GB | 16 vCPU 94GB RAM | 🌍global | $0.86/GPU/hr | |||
 Massed Compute | NVIDIA L40S 48GB VRAM | 48GB | 12 vCPU 72GB RAM 625GB Storage | Iowa | $0.88/GPU/hr | Available | ||
Massed Compute | 2×NVIDIA L40S 48GB VRAM | 48GB | 24 vCPU 144GB RAM 1250GB Storage | Iowa | $0.88/GPU/hr $1.76/hr total (2×) | Available | ||
Massed Compute | NVIDIA L40S 48GB VRAM | 48GB | 12 vCPU 72GB RAM 625GB Storage | Iowa | $0.88/GPU/hr | Available |
When to Choose the H100 PCIe
Opt for the H100 PCIe in scenarios demanding extreme AI compute, such as training billion-parameter LLMs where 1979 TFLOPS FP16 and 80 to 94 GB VRAM enable handling models like GPT-4 equivalents without multi-GPU scaling. Its 3350 GB/s bandwidth supports batch sizes that saturate compute units, accelerating convergence.
Cloud users prioritizing throughput over cost choose H100 for production inference pipelines serving high-concurrency requests, leveraging 3958 TFLOPS FP8 for low-latency responses.
When to Choose the L40S
Select the L40S for cost-sensitive applications like Stable Diffusion generation or fine-tuning mid-sized models, where 48 GB VRAM suffices and $0.40 per hour pricing yields savings over H100's $1.25 minimum. Lower 350W TDP allows deployment in power-constrained environments without thermal throttling.
Inference for models under 30 billion parameters favors L40S, as 362 TFLOPS FP16 and 91 TFLOPS FP32 provide ample performance at one-fifth the average H100 cost of $2.73 per hour.
Use Cases
H100's 1979 TFLOPS FP16 and 80 to 94 GB VRAM handle massive datasets and large batch sizes essential for training models over 100 billion parameters. L40S lacks the bandwidth and capacity at 864 GB/s and 48 GB.
H100's 3958 TFLOPS FP8 and high memory bandwidth support high-throughput serving of large models. L40S suits smaller models but bottlenecks on 48 GB VRAM for popular LLMs.
L40S's 362 TFLOPS FP16 and $0.40 per hour pricing efficiently handle fine-tuning of models under 70 billion parameters. H100's power is excessive for such targeted tasks.
L40S excels in image generation with 91 TFLOPS FP32 and Ada architecture optimizations, at lower 350W TDP. H100 overkill for diffusion models fitting in 48 GB.
H100's 3350 GB/s bandwidth and 80 to 94 GB VRAM accelerate simulations with large matrices. L40S's 864 GB/s limits complex HPC workloads.
Frequently Asked Questions
Which GPU has more VRAM: H100 PCIe or L40S?▾
The H100 PCIe offers 80 to 94 GB HBM3 VRAM, surpassing the L40S's 48 GB GDDR6X. This enables H100 to load larger models without partitioning. L40S suffices for workloads under 40 GB.
How do H100 and L40S compare in cloud pricing?▾
H100 PCIe starts at $1.25 per hour, averaging $2.73 across 15 offers. L40S begins at $0.40 per hour, averaging $1.17 across 21 offers. L40S provides better value for lighter tasks.
What is the FP16 performance difference between H100 PCIe and L40S?▾
H100 PCIe achieves 1979 TFLOPS FP16, over five times the L40S's 362 TFLOPS. This gap accelerates AI training significantly on H100. Inference also benefits from H100's scale.
Which has higher memory bandwidth?▾
H100 PCIe delivers 3350 GB/s with HBM3, nearly four times the L40S's 864 GB/s GDDR6X. Higher bandwidth reduces data transfer bottlenecks in large-batch training. L40S handles moderate loads adequately.
What are the TDP ratings for H100 PCIe and L40S?▾
H100 PCIe consumes 700W, requiring advanced cooling. L40S uses 350W, enabling denser server packing. Power efficiency favors L40S in cost-per-watt scenarios.
Can L40S replace H100 for AI training?▾
L40S cannot fully replace H100 due to lower 362 TFLOPS FP16 versus 1979 TFLOPS and 48 GB VRAM limit. It works for smaller models but scales poorly. H100 remains essential for large-scale training.
Which is cheaper to rent, the H100 or the L40S?▾
Cloud rental prices for both the H100 and L40S vary by provider, configuration, and availability. This page shows live pricing from 25+ providers updated every 60 seconds. Scroll to the Live Cloud Pricing section to compare current rates.
How much VRAM does the H100 have compared to the L40S?▾
The H100 has 80 to 94 GB of HBM3 memory. The L40S has 48 GB of GDDR6X memory.
Can I find H100 and L40S GPUs available to rent right now?▾
Yes. This page shows real-time availability across 25+ cloud GPU providers. The Live Cloud Pricing section displays only in-stock offers with current pricing.
What is the main difference between the H100 and the L40S?▾
The H100 uses the Hopper architecture (2022) while the L40S uses Ada Lovelace (2023). The H100 delivers 5.5x the FP16 throughput and 3.9x the memory bandwidth of the L40S.