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
Raw compute power sets the NVIDIA H100 NVL far ahead: its 1979 TFLOPS FP16 and 3958 TFLOPS FP8 dwarf the L4's 121 TFLOPS FP16 and 242 TFLOPS FP8, enabling faster model training and inference on large datasets. FP32 performance follows suit at 67 TFLOPS for H100 NVL versus 30.3 TFLOPS for L4, critical for scientific simulations requiring precise floating-point operations. Memory bandwidth amplifies this gap, as H100 NVL's 3350 GB/s supports massive batch sizes in training without bottlenecks, while L4's 300 GB/s limits scalability for memory-intensive inference. Power draw reflects their roles: H100 NVL at 700W suits dense server racks, whereas L4's 72W TDP enables deployment in power-constrained settings. These specs translate to H100 NVL handling enterprise-scale AI workloads 10 to 30 times faster in mixed-precision tasks.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
H100 NVL
| 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 | ||
 Voltage Park | 8×NVIDIA H100 SXM5 80GB VRAM | 80GB | 208 vCPU 928GB RAM 19200GB Storage | Dallas, Texas | $1.99/GPU/hr $15.92/hr total (8×) |
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 NVL
Opt for the NVIDIA H100 NVL in scenarios demanding maximum throughput, such as training large language models where 1979 TFLOPS FP16 and 80 to 94 GB HBM3 VRAM accelerate iterations. Its 3350 GB/s bandwidth and NVLink interconnect excel in multi-GPU clusters for distributed training. Cloud users prioritize it at $1.40 per hour when deadlines outweigh costs for high-fidelity simulations or FP32-heavy 67 TFLOPS workloads.
When to Choose the L4
The NVIDIA L4 suits cost-sensitive inference deployments, offering 121 TFLOPS FP16 at $0.32 per hour with 72W TDP for low-power servers. Its PCIe 4.0 form factor fits edge computing or batch inference on models under 24 GB GDDR6. Choose it for Stable Diffusion or lightweight fine-tuning where 300 GB/s bandwidth suffices without excessive scaling needs.
Use Cases
The H100 NVL's 1979 TFLOPS FP16 and 80 to 94 GB HBM3 VRAM support large batch sizes and rapid iterations on billion-parameter models. L4's 121 TFLOPS and 24 GB limit scalability.
H100 NVL's 3958 TFLOPS FP8 and 3350 GB/s bandwidth handle high-concurrency queries with low latency. L4's 242 TFLOPS FP8 suits only smaller deployments.
With 67 TFLOPS FP32 and NVLink, H100 NVL accelerates parameter-efficient fine-tuning on large datasets. L4's 30.3 TFLOPS FP32 proves inadequate for complex adapters.
L4's 24 GB GDDR6 and 121 TFLOPS FP16 suffice for real-time generation at $0.32 per hour. H100 NVL overkills with 80 GB VRAM for batch processing.
H100 NVL's 67 TFLOPS FP32 and 3350 GB/s bandwidth excel in simulations like molecular dynamics. L4's 30.3 TFLOPS FP32 cannot match precision demands.
Frequently Asked Questions
Which GPU has more VRAM?▾
The NVIDIA H100 NVL provides 80 to 94 GB HBM3 VRAM, far exceeding the NVIDIA L4's 24 GB GDDR6. This enables H100 NVL to load larger models without swapping. L4 suits smaller workloads fitting within 24 GB.
What is the performance difference in FP16?▾
H100 NVL achieves 1979 TFLOPS FP16, over 16 times the L4's 121 TFLOPS. This gap accelerates deep learning training significantly. Inference also benefits from H100 NVL's scale.
How do power consumptions compare?▾
H100 NVL draws 700W TDP, optimized for datacenters, while L4 uses only 72W for efficient deployments. L4 reduces cooling costs in edge setups. H100 NVL prioritizes performance density.
What are the cloud pricing ranges?▾
NVIDIA H100 NVL starts at $1.40 per hour with $2.89 average across nine offers. NVIDIA L4 begins at $0.32 per hour averaging $0.68 across 15 offers. Pricing reflects capability differences.
Which has higher memory bandwidth?▾
H100 NVL offers 3350 GB/s, more than 11 times L4's 300 GB/s. This supports larger batches in training. L4 handles modest inference loads adequately.
What architectures do they use?▾
H100 NVL employs Hopper from 2022 with NVLink support. L4 uses Ada Lovelace from 2023 in PCIe form. Hopper excels in multi-GPU AI clusters.
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.