Specifications Compared
| Spec | H200 | L4 |
|---|---|---|
| TDP | 700W | 72W |
| VRAM | 141 GB | 24 GB |
| CUDA Cores | 16,896 | 7,424 |
| FP8 (dense) | 1,979 TFLOPS | 242 TFLOPS |
| Memory Type | HBM3e | GDDR6 |
| Architecture | Hopper | Ada Lovelace |
| FP16 (dense) | 989 TFLOPS | 121 TFLOPS |
| Form Factors | SXM, NVL | PCIe |
| INT8 (dense) | 1,979 TOPS | 242 TOPS |
| Interconnect | NVLink, PCIe 5.0, InfiniBand | PCIe 4.0 |
| Tensor Cores | 528 | 232 |
| FP32 Performance | 67 TFLOPS | 30.3 TFLOPS |
| FP64 Performance | 34 TFLOPS | 0.5 TFLOPS |
| Memory Bandwidth | 4,800 GB/s | 300 GB/s |
| FP8 (with sparsity) | 3,958 TFLOPS | 485 TFLOPS |
| FP16 (with sparsity) | 1,979 TFLOPS | 242 TFLOPS |
| INT8 (with sparsity) | 3,958 TOPS | 485 TOPS |
Performance Analysis
The FP16 dense rating reaches 989 TFLOPS on the H200 compared with 121 TFLOPS dense FP16 on the L4. This eightfold difference in dense FP16 scales training throughput for large models while the same ratio holds for sparse FP16 at 1979 TFLOPS versus 242 TFLOPS. Memory bandwidth of 4800 GB/s versus 300 GB/s permits larger batch sizes on the H200 before data movement becomes limiting. FP32 performance stands at 67 TFLOPS for the H200 and 30.3 TFLOPS for the L4 so mixed precision pipelines benefit from the higher dense FP16 figure on the H200 when converting between formats.
Current On-Demand Offers
Cheapest secure on-demand offer per provider that is reported in stock right now, per GPU per hour; multi-GPU instances show the whole-instance price alongside. Deploy opens the DeployGPU console for providers on the platform, otherwise the provider's own site. Stock is rechecked every minute.
H200
| Provider | Region | GPUs | Per GPU / hr | Instance / hr | Deploy |
|---|---|---|---|---|---|
| QuantaCloud | us-east-1 | 2 | $3.43 | $6.86 | Deploy |
| Ori | london-3 | 1 | $3.50 | — | Deploy |
| Massed Compute | us-east-1 | 2 | $3.62 | $7.24 | Deploy |
| Lyceum | Europe | 1 | $4.29 | — | Deploy |
| RunPod | global | 1 | $4.59 | — | Deploy |
7 providers in stock, 15 offers (cheapest per provider shown). All H200 offers, price history and alerts
Notify me when H200 drops below a price
One email when the cheapest in-stock on-demand price per GPU-hour falls below your threshold. Cheapest right now: $3.43/GPU-hr.
QuantaCloud
Comparing H-series providers? We broker across all of them.
Hopper stock changes by the hour and prices differ by provider. If you need 16+ GPUs reserved or a cluster in the next 90 days, we quote H-series or B300 inventory at partner rates: one quote, 24h turnaround.
When to Choose the H200
The H200 suits workloads that require 141 GB memory capacity and 4800 GB/s bandwidth to maintain large tensors in a single device. Training or inference jobs that scale with 989 TFLOPS dense FP16 or 1979 TFLOPS sparse FP16 gain direct advantage from these figures over the corresponding L4 values.
When to Choose the L4
The L4 fits deployments constrained to 72 W TDP and PCIe form factor where 24 GB memory suffices for the target batch size. Inference tasks that operate within 121 TFLOPS dense FP16 or 242 TFLOPS sparse FP16 achieve adequate throughput without exceeding the 300 GB/s bandwidth limit.
Use Cases
The H200 supplies 989 TFLOPS dense FP16 and 141 GB memory that accommodate larger models and batch sizes than the L4 121 TFLOPS dense FP16 and 24 GB memory.
The H200 1979 TFLOPS sparse FP16 rating supports higher token throughput than the L4 242 TFLOPS sparse FP16 when sequence lengths demand the 4800 GB/s bandwidth.
Fine-tuning benefits from the H200 67 TFLOPS FP32 combined with 989 TFLOPS dense FP16 to handle gradient updates within 141 GB memory.
The L4 72 W TDP and 24 GB memory meet typical image generation demands at 121 TFLOPS dense FP16 without the power overhead of the H200.
The H200 67 TFLOPS FP32 and 4800 GB/s bandwidth accelerate simulations that exceed the L4 30.3 TFLOPS FP32 and 300 GB/s limits.
Frequently Asked Questions
What is the FP16 dense performance gap between these GPUs?▾
The H200 reaches 989 TFLOPS dense FP16 and the L4 reaches 121 TFLOPS dense FP16. The resulting ratio determines relative training step times for precision-sensitive workloads.
Which GPU offers higher memory bandwidth?▾
The H200 provides 4800 GB/s bandwidth while the L4 provides 300 GB/s bandwidth. Higher bandwidth supports larger batches before memory stalls occur during dense FP16 operations.
How do the power limits compare?▾
The H200 lists a 700 W TDP and the L4 lists a 72 W TDP. Systems with strict power budgets therefore align with the L4 for inference at 242 TFLOPS sparse FP8.
Can the L4 handle the same FP8 workloads as the H200?▾
The L4 supplies 242 TFLOPS dense FP8 while the H200 supplies 1979 TFLOPS dense FP8. Workloads that fit within the L4 24 GB memory can run but at lower throughput than the H200.
Which is cheaper to rent, the H200 or the L4?▾
Cloud rental prices for both the H200 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 H200 have compared to the L4?▾
The H200 has 141 GB of HBM3e memory. The L4 has 24 GB of GDDR6 memory.
Can I find H200 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 H200 and the L4?▾
The H200 uses the Hopper architecture (2024) while the L4 uses Ada Lovelace (2023). The H200 delivers 8.2x the dense FP16 throughput (989 vs 121 TFLOPS, both without sparsity) and 16.0x the memory bandwidth of the L4.
Rent these GPUs
Each GPU page lists every current on-demand offer by provider, per GPU-hour, updated every minute.
Related comparisons
How this page is made
- Specifications come from the NVIDIA, AMD and Intel datasheets for the H200 and the L4. Dense and sparse throughput are listed separately.
- Prices and availability are live: every offer shown is an in-stock, on-demand listing from a provider we track, rechecked every minute.
- The written comparison (overview, performance notes, when to choose each card, verdict, use cases and FAQ) was drafted with an AI model from the specification table above and passed an automated check that rejects any figure not in that table. It was last generated on . It contains no prices; those are always read live.
- Read how we collect the data, or report an error on this page.
Next steps
- Rent H200Every current offer by provider, daily price history and a price alert.
- Rent L4Every current offer by provider, daily price history and a price alert.
- GPU price indexHow on-demand prices for the major GPUs have moved, updated daily.
- All GPUsEvery GPU we track, with current lows and provider counts.