Specifications Compared
| Spec | H100 | L4 |
|---|---|---|
| TDP | 700W | 72W |
| VRAM | 80-94 GB | 24 GB |
| CUDA Cores | 16,896 | 7,424 |
| Memory Type | HBM3 | GDDR6 |
| Architecture | Hopper | Ada Lovelace |
| Form Factors | SXM5, PCIe, NVL | PCIe |
| Interconnect | NVLink, PCIe 5.0, InfiniBand | PCIe 4.0 |
| Tensor Cores | 528 | 232 |
| FP8 Performance | 3,958 TFLOPS | 242 TFLOPS |
| FP16 Performance | 1,979 TFLOPS | 121 TFLOPS |
| FP32 Performance | 67 TFLOPS | 30.3 TFLOPS |
| FP64 Performance | 34 TFLOPS | 0.5 TFLOPS |
| INT8 Performance | 3,958 TOPS | 242 TOPS |
| Memory Bandwidth | 3,350 GB/s | 300 GB/s |
Performance Analysis
The H100 PCIe dominates in compute performance: its FP16 capability reaches 1979 TFLOPS, dwarfing the L4's 121 TFLOPS, while FP32 hits 67 TFLOPS against 30.3 TFLOPS. These gaps translate to dramatically faster deep learning training on H100, where matrix multiplications in FP16 and FP32 dominate, potentially reducing epochs from days to hours for large neural networks.
For inference, FP8 performance on H100 achieves 3958 TFLOPS compared to L4's 242 TFLOPS, enabling higher throughput for quantized models. The memory bandwidth chasm, 3350 GB/s on H100 versus 300 GB/s on L4, directly impacts batch sizes: H100 handles massive batches without spilling to slower system RAM, sustaining peak utilization in memory-bound tasks like transformer inference.
Power efficiency further differentiates them, as L4's 72W TDP allows dense server packing, contrasting H100's 700W draw that demands robust cooling and power infrastructure.
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 |
L4
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Vast.ai | NVIDIA L4 24GB VRAM | 24GB | 64 vCPU 101GB RAM 485GB Storage | Iceland | $0.33/GPU/hr | Available | ||
 RunPod | NVIDIA L4 24GB VRAM | 24GB | 12 vCPU 50GB RAM | 🌍global | $0.39/GPU/hr | |||
 TensorDock | NVIDIA L40S 48GB VRAM | 48GB | 0 vCPU 0GB RAM | Wolverhampton | $0.55/GPU/hr | Available | ||
RunPod | NVIDIA L40 48GB VRAM | 48GB | 8 vCPU 94GB RAM | 🌍global | $0.82/GPU/hr | |||
RunPod | NVIDIA L40S 48GB VRAM | 48GB | 16 vCPU 94GB RAM | 🌍global | $0.86/GPU/hr |
When to Choose the H100 PCIe
Select the H100 PCIe for large-scale LLM training or fine-tuning where 80-94 GB HBM3 VRAM accommodates models exceeding 70B parameters. Its 1979 TFLOPS FP16 performance accelerates convergence, and 3350 GB/s bandwidth prevents bottlenecks in data-heavy pipelines. Cloud users prioritizing speed over cost benefit from this in production R&D environments.
When to Choose the L4
Opt for the L4 in cost-sensitive inference deployments or edge computing, where 24 GB GDDR6 VRAM suffices for models under 30B parameters and $0.32 per hour pricing minimizes expenses. The 72W TDP enables high-density racks, ideal for serving thousands of requests per server without excessive power costs. It suits scalable, low-latency applications like real-time AI services.
Use Cases
H100's 1979 TFLOPS FP16 and 80-94 GB HBM3 VRAM handle massive parameter counts and large batches, far exceeding L4's 121 TFLOPS and 24 GB limits.
L4's 242 TFLOPS FP8 and $0.32 per hour pricing enable efficient, high-density serving of mid-sized models, while H100 suits only ultra-high throughput needs.
H100's 67 TFLOPS FP32 and superior bandwidth support gradient computations on full model sizes, unlike L4's constrained 30.3 TFLOPS.
L4's 24 GB VRAM and 72W TDP efficiently generate images at scale with low costs, adequate for diffusion models without H100's overkill compute.
H100's 3350 GB/s bandwidth and 67 TFLOPS FP32 excel in simulations requiring high precision and data movement, surpassing L4's capabilities.
Frequently Asked Questions
What is the VRAM capacity of H100 PCIe versus L4?▾
The H100 PCIe provides 80-94 GB HBM3 VRAM, while the L4 offers 24 GB GDDR6. This difference allows H100 to load much larger AI models without quantization. L4 suits smaller workloads where memory demands stay below 24 GB.
How do their FP16 performances compare?▾
H100 PCIe achieves 1979 TFLOPS in FP16, compared to L4's 121 TFLOPS. This 16-fold advantage speeds up training and mixed-precision tasks on H100. L4 remains viable for lighter inference.
Which GPU has higher memory bandwidth?▾
H100 PCIe delivers 3350 GB/s, vastly outpacing L4's 300 GB/s. Higher bandwidth on H100 supports larger batch sizes in memory-intensive operations. L4 avoids bottlenecks in modest-scale deployments.
What are the power consumption differences?▾
H100 PCIe requires 700W TDP, while L4 uses only 72W. L4 enables dense cloud configurations with lower cooling needs. H100 demands enterprise-grade infrastructure.
How do cloud prices compare for these GPUs?▾
H100 PCIe starts at $1.25 per hour with an average of $2.73 per hour across 15 offers. L4 begins at $0.32 per hour averaging $0.69 per hour over 16 offers. Price reflects performance tiers for rental decisions.
Is L4 suitable for FP8 inference?▾
Yes, L4 provides 242 TFLOPS in FP8, effective for quantized inference. H100 offers 3958 TFLOPS FP8 for higher throughput. Both support modern low-precision formats.
Which is cheaper to rent, the H100 or the L4?▾
Cloud rental prices for both the H100 and L4 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 L4?▾
The H100 has 80 to 94 GB of HBM3 memory. The L4 has 24 GB of GDDR6 memory.
Can I find H100 and L4 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 L4?▾
The H100 uses the Hopper architecture (2022) while the L4 uses Ada Lovelace (2023). The H100 delivers 16.4x the FP16 throughput and 11.2x the memory bandwidth of the L4.