Specifications Compared
| Spec | B200 | L40S |
|---|---|---|
| TDP | 1000W | 350W |
| VRAM | 192 GB | 48 GB |
| CUDA Cores | 18,432 | 18,176 |
| Memory Type | HBM3e | GDDR6X |
| Architecture | Blackwell | Ada Lovelace |
| Form Factors | SXM, NVL | PCIe |
| Interconnect | NVLink, PCIe 6.0, InfiniBand | PCIe 4.0 |
| Tensor Cores | 576 | 568 |
| FP8 Performance | 9,000 TFLOPS | 724 TFLOPS |
| FP16 Performance | 4,500 TFLOPS | 362 TFLOPS |
| FP32 Performance | 90 TFLOPS | 91 TFLOPS |
| FP64 Performance | 45 TFLOPS | 1.4 TFLOPS |
| INT8 Performance | 9,000 TOPS | 724 TOPS |
| Memory Bandwidth | 8,000 GB/s | 864 GB/s |
Performance Analysis
FP16 performance highlights a massive gap: the B200 achieves 4500 TFLOPS against the L40S's 362 TFLOPS, accelerating deep learning training by over 12 times in half-precision tasks common for neural networks. FP32 rates are close at 90 TFLOPS for B200 and 91 TFLOPS for L40S, but this matters less as modern AI favors lower precisions. FP8 reaches 9000 TFLOPS on B200 versus 724 TFLOPS on L40S, ideal for inference on quantized large language models. The B200's 192 GB VRAM supports batch sizes impossible on L40S's 48 GB, reducing out-of-memory errors in training billion-parameter models. Bandwidth of 8000 GB/s on B200 enables feeding data at rates 9 times faster than L40S's 864 GB/s, minimizing bottlenecks in memory-intensive operations like transformer processing. Power draw reflects this: B200 at 1000W TDP demands robust cooling, while L40S at 350W suits denser deployments.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
B200 SXM
| 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 |
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 B200 SXM
Opt for the NVIDIA B200 SXM in scenarios demanding extreme scale, such as training models exceeding 100 billion parameters where 192 GB HBM3e VRAM prevents fragmentation. Its 4500 TFLOPS FP16 and 8000 GB/s bandwidth excel in distributed training clusters via NVLink and PCIe 6.0, slashing epochs for research labs. High pricing at $1.71 to $4.60 per hour justifies use when time-to-result trumps cost.
When to Choose the L40S
The NVIDIA L40S fits budget-conscious inference servers handling models under 70 billion parameters on 48 GB GDDR6X. At 350W TDP and PCIe 4.0 form factor, it deploys easily in edge or multi-GPU racks without high power infrastructure. Pricing from $0.40 to $1.15 per hour makes it ideal for production scaling where FP16 at 362 TFLOPS suffices.
Use Cases
B200's 192 GB VRAM and 4500 TFLOPS FP16 support training models over 100B parameters without issues. L40S's 48 GB limits scale.
9000 TFLOPS FP8 on B200 enables high-throughput serving of quantized LLMs. Bandwidth of 8000 GB/s handles large batches efficiently.
L40S's 362 TFLOPS FP16 works for models under 30B parameters at low cost. B200 accelerates larger fine-tunes with 192 GB VRAM.
L40S's 48 GB GDDR6X and 91 TFLOPS FP32 suffice for image generation pipelines. Lower $0.40 per hour pricing aids high-volume rendering.
L40S's 350W TDP and PCIe form factor integrate into HPC clusters easily. FP32 parity at 91 TFLOPS matches simulations without excess power.
Frequently Asked Questions
What is the VRAM difference between B200 and L40S?▾
The B200 provides 192 GB HBM3e VRAM, four times the L40S's 48 GB GDDR6X. This allows B200 to load much larger models for training. Bandwidth follows suit at 8000 GB/s versus 864 GB/s.
How do cloud prices compare for B200 SXM and L40S?▾
B200 SXM starts at $1.71 per hour, averaging $4.60 across 13 offers. L40S begins at $0.40 per hour, averaging $1.15 over 24 offers. L40S offers better value for lighter workloads.
Which has higher FP16 performance?▾
B200 delivers 4500 TFLOPS FP16, over 12 times the L40S's 362 TFLOPS. This gap accelerates AI training significantly. FP8 follows at 9000 TFLOPS versus 724 TFLOPS.
What are the power requirements?▾
B200 has a 1000W TDP, requiring advanced cooling. L40S uses 350W TDP for easier deployment. Form factors differ: B200 in SXM/NVL, L40S in PCIe.
Is B200 better for large model training?▾
Yes, B200's 192 GB VRAM and NVLink interconnect excel in distributed training. L40S suits smaller models with its lower cost. Interconnects include PCIe 6.0 on B200 versus PCIe 4.0.
Can L40S handle inference well?▾
L40S performs adequately for inference with 724 TFLOPS FP8 and 48 GB VRAM. It serves models up to 70B parameters cost-effectively. B200 scales to larger deployments.
Which is cheaper to rent, the B200 or the L40S?▾
Cloud rental prices for both the B200 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 B200 have compared to the L40S?▾
The B200 has 192 GB of HBM3e memory. The L40S has 48 GB of GDDR6X memory.
Can I find B200 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 B200 and the L40S?▾
The B200 uses the Blackwell architecture (2024) while the L40S uses Ada Lovelace (2023). The B200 delivers 12.4x the FP16 throughput and 9.3x the memory bandwidth of the L40S.