Specifications Compared
| Spec | B200 | L4 |
|---|---|---|
| TDP | 1000W | 72W |
| VRAM | 192 GB | 24 GB |
| CUDA Cores | 18,432 | 7,424 |
| Memory Type | HBM3e | GDDR6 |
| Architecture | Blackwell | Ada Lovelace |
| Form Factors | SXM, NVL | PCIe |
| Interconnect | NVLink, PCIe 6.0, InfiniBand | PCIe 4.0 |
| Tensor Cores | 576 | 232 |
| FP8 Performance | 9,000 TFLOPS | 242 TFLOPS |
| FP16 Performance | 4,500 TFLOPS | 121 TFLOPS |
| FP32 Performance | 90 TFLOPS | 30.3 TFLOPS |
| FP64 Performance | 45 TFLOPS | 0.5 TFLOPS |
| INT8 Performance | 9,000 TOPS | 242 TOPS |
| Memory Bandwidth | 8,000 GB/s | 300 GB/s |
Performance Analysis
B200 NVL's 4500 TFLOPS FP16 performance exceeds L4's 121 TFLOPS by 37 times, slashing training times for deep neural networks reliant on half-precision arithmetic. Its 90 TFLOPS FP32 outpaces L4's 30.3 TFLOPS, benefiting single-precision tasks in scientific computing. FP8 at 9000 TFLOPS on B200 NVL accelerates inference for quantized large language models, far beyond L4's 242 TFLOPS.
Memory bandwidth of 8000 GB/s on B200 NVL versus 300 GB/s on L4 enables 27x larger batch sizes, reducing overhead in model training and allowing datasets infeasible on L4's 24 GB VRAM. B200 NVL's 1000W TDP demands robust cooling, while L4's 72W suits edge servers without infrastructure strain.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
B200 NVL
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Nebius | NVIDIA B200 SXM 192GB VRAM | 192GB | 20 vCPU 224GB RAM | 🌍Europe | $3.95/GPU/hr | |||
 Cirrascale | 8×NVIDIA B200 SXM 192GB VRAM | 192GB | 192 vCPU 2048GB RAM 43923GB Storage | United States | $4.79/GPU/hr $38.32/hr total (8×) | |||
Cirrascale | 8×NVIDIA B200 SXM 192GB VRAM | 192GB | 192 vCPU 2048GB RAM 43923GB Storage | United States | $5.39/GPU/hr $43.12/hr total (8×) | |||
Cirrascale | 8×NVIDIA B200 SXM 192GB VRAM | 192GB | 192 vCPU 2048GB RAM 43923GB Storage | United States | $5.69/GPU/hr $45.52/hr total (8×) | |||
 RunPod | NVIDIA B200 SXM 192GB VRAM | 192GB | 28 vCPU 283GB RAM | California | $5.89/GPU/hr |
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 B200 NVL
Data centers training trillion-parameter models choose B200 NVL for 192 GB VRAM and 4500 TFLOPS FP16, fitting entire models on one GPU. High-throughput inference benefits from 9000 TFLOPS FP8 and NVLink interconnects, scaling clusters efficiently.
Scientific simulations leverage 90 TFLOPS FP32 and 8000 GB/s bandwidth for rapid iterations unattainable on L4.
When to Choose the L4
Budget-conscious inference for models under 24 GB VRAM selects L4 at $0.32 per hour, where 121 TFLOPS FP16 delivers ample speed. Edge computing favors its 72W TDP and PCIe form factor, deploying in servers without high power draws.
Distributed lightweight tasks across many nodes exploit L4's availability on 15 providers averaging $0.68 per hour.
Use Cases
B200 NVL's 192 GB HBM3e VRAM and 4500 TFLOPS FP16 handle massive models single-GPU, minimizing multi-node complexity.
9000 TFLOPS FP8 and 8000 GB/s bandwidth enable high-volume serving of large quantized models.
192 GB capacity loads full models for rapid, memory-unconstrained fine-tuning sessions.
L4's 24 GB VRAM suffices for standard image generation; B200 NVL accelerates high-resolution batches.
90 TFLOPS FP32 and PCIe 6.0 support complex, bandwidth-intensive simulations.
Frequently Asked Questions
What is the VRAM capacity of NVIDIA B200 NVL versus L4?▾
B200 NVL provides 192 GB HBM3e VRAM. L4 offers 24 GB GDDR6, an 8x difference favoring larger models on B200 NVL.
How do cloud prices compare for these GPUs?▾
NVIDIA B200 NVL starts at $10.50 per hour across one offer. NVIDIA L4 begins at $0.32 per hour, averaging $0.68 over 15 providers.
Which GPU has superior FP16 performance?▾
B200 NVL delivers 4500 TFLOPS FP16. L4 reaches 121 TFLOPS, making B200 NVL 37 times faster for AI training.
What are their TDP ratings?▾
B200 NVL requires 1000W TDP for peak output. L4 consumes 72W, suiting low-power edge applications.
What interconnects do they use?▾
B200 NVL supports NVLink, PCIe 6.0, and InfiniBand for multi-GPU scaling. L4 relies on PCIe 4.0.
Is L4 suitable for inference workloads?▾
L4's 242 TFLOPS FP8 handles cost-effective inference for smaller models at $0.32 per hour. B200 NVL's 9000 TFLOPS excels in high-scale scenarios.
Which is cheaper to rent, the B200 or the L4?▾
Cloud rental prices for both the B200 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 B200 have compared to the L4?▾
The B200 has 192 GB of HBM3e memory. The L4 has 24 GB of GDDR6 memory.
Can I find B200 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 B200 and the L4?▾
The B200 uses the Blackwell architecture (2024) while the L4 uses Ada Lovelace (2023). The B200 delivers 37.2x the FP16 throughput and 26.7x the memory bandwidth of the L4.