Specifications Compared
| Spec | B300 | L40 |
|---|---|---|
| TDP | 1200W | 300W |
| VRAM | 288 GB | 48 GB |
| Memory Type | HBM3e | GDDR6 |
| Architecture | Blackwell Ultra | Ada Lovelace |
| Form Factors | SXM | PCIe |
| Interconnect | NVSwitch, NVLink | |
| FP8 Performance | 4,500 TFLOPS | |
| FP16 Performance | 2,250 TFLOPS | 90.5 TFLOPS |
| FP32 Performance | 90 TFLOPS | 90.5 TFLOPS |
| FP64 Performance | 45 TFLOPS | |
| INT8 Performance | 4,500 TOPS | 724 TOPS |
| Memory Bandwidth | 12,000 GB/s | 864 GB/s |
Performance Analysis
The B300's 2250 TFLOPS FP16 performance dwarfs the L40's 90.5 TFLOPS, accelerating deep learning training where half-precision computations dominate. For inference, B300's 4500 TFLOPS FP8 capability enables high-throughput quantized models, processing larger batches than L40's balanced 90.5 TFLOPS FP16 and FP32. FP32 performance remains similar at 90 TFLOPS for B300 and 90.5 TFLOPS for L40, suiting precision-sensitive simulations equally. Memory capacity defines real-world impact: 288 GB HBM3e on B300 supports models exceeding 100 billion parameters without offloading, while 48 GB GDDR6 on L40 limits to smaller datasets. Bandwidth of 12000 GB/s versus 864 GB/s allows B300 to sustain larger batch sizes, cutting training epochs by orders of magnitude. High TDP of 1200W on B300 demands robust cooling, contrasting L40's efficient 300W draw.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
B300 SXM6
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 RunPod | NVIDIA B300 SXM6 262GB VRAM | 262GB | 0 vCPU 0GB RAM | 🌍global | $7.39/GPU/hr | |||
 VERDA | NVIDIA B300 SXM6 262GB VRAM | 262GB | 30 vCPU 255GB RAM | Helsinki | $7.50/GPU/hr | Available | ||
VERDA | 2×NVIDIA B300 SXM6 262GB VRAM | 262GB | 60 vCPU 510GB RAM | Helsinki | $7.50/GPU/hr $15.00/hr total (2×) | Available | ||
VERDA | 8×NVIDIA B300 SXM6 262GB VRAM | 262GB | 240 vCPU 2040GB RAM | Helsinki | $7.50/GPU/hr $60.00/hr total (8×) | Available | ||
 Scaleway | 8×NVIDIA B300 SXM6 262GB VRAM | 262GB | 224 vCPU 3840GB RAM 22352GB Storage | Paris | $8.73/GPU/hr $69.84/hr total (8×) | Available |
L40
| 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 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 | |||
 Massed Compute | NVIDIA L40 48GB VRAM | 48GB | 14 vCPU 72GB RAM 625GB Storage | Iowa | $0.86/GPU/hr | Available | ||
Massed Compute | 2×NVIDIA L40 48GB VRAM | 48GB | 26 vCPU 144GB RAM 1250GB Storage | Iowa | $0.86/GPU/hr $1.72/hr total (2×) | Available |
When to Choose the B300 SXM6
Choose the B300 for large-scale LLM training or inference where 288 GB HBM3e VRAM handles massive models without fragmentation. Its 12000 GB/s bandwidth and 2250 TFLOPS FP16 excel in multi-GPU clusters via NVLink and NVSwitch, ideal for enterprises scaling to trillion-parameter AI. High FP8 performance of 4500 TFLOPS suits production inference at $2.45 per hour starting price.
When to Choose the L40
Opt for the L40 in budget-conscious deployments with models fitting 48 GB GDDR6 VRAM, such as fine-tuning mid-sized LLMs or Stable Diffusion. Balanced 90.5 TFLOPS FP16 and FP32 performance supports diverse workloads at low $0.67 per hour entry cost and 300W TDP. PCIe form factor enables easy integration in standard servers without specialized interconnects.
Use Cases
B300's 288 GB HBM3e VRAM and 2250 TFLOPS FP16 handle massive datasets and large batch sizes critical for training billion-parameter models. L40's 48 GB limits scalability.
4500 TFLOPS FP8 on B300 delivers high-throughput serving for production LLMs. Its 12000 GB/s bandwidth supports concurrent queries beyond L40's 864 GB/s capacity.
L40 suffices for models under 48 GB with 90.5 TFLOPS FP16 at low cost. B300 excels for larger adapters needing 288 GB VRAM.
L40's 48 GB GDDR6 and 90.5 TFLOPS FP16 generate images efficiently at $0.67 per hour. B300's power is excessive for typical diffusion tasks.
L40's balanced 90.5 TFLOPS FP32 matches B300's 90 TFLOPS for simulations, with lower 300W TDP and PCIe accessibility. B300 suits only memory-intensive HPC.
Frequently Asked Questions
Which GPU has more VRAM?▾
The B300 provides 288 GB HBM3e VRAM, far exceeding the L40's 48 GB GDDR6. This enables B300 to load larger AI models without data swapping. L40 fits mid-sized workloads comfortably.
What are the cloud pricing differences?▾
B300 starts at $2.45 per hour with an average of $6.44 across 7 offers. L40 begins at $0.67 per hour, averaging $0.89 over 14 offers. Pricing reflects B300's superior specs.
How do FP16 performances compare?▾
B300 delivers 2250 TFLOPS FP16, over 24 times the L40's 90.5 TFLOPS. This gap accelerates training and inference on B300. L40 remains viable for lighter tasks.
What is the power consumption difference?▾
B300 requires 1200W TDP, demanding advanced cooling. L40 uses 300W, suiting standard setups. Efficiency favors L40 in power-constrained environments.
Which supports multi-GPU better?▾
B300 includes NVSwitch and NVLink for scalable clusters. L40 lacks specified interconnects, relying on PCIe. B300 excels in distributed training.
What architectures do they use?▾
B300 runs Blackwell Ultra from 2025 with FP8 support at 4500 TFLOPS. L40 uses Ada Lovelace from 2023. Newer B300 targets next-gen AI advancements.
Which is cheaper to rent, the B300 or the L40?▾
Cloud rental prices for both the B300 and L40 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 B300 have compared to the L40?▾
The B300 has 288 GB of HBM3e memory. The L40 has 48 GB of GDDR6 memory.
Can I find B300 and L40 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 B300 and the L40?▾
The B300 uses the Blackwell Ultra architecture (2025) while the L40 uses Ada Lovelace (2023). The B300 delivers 24.9x the FP16 throughput and 13.9x the memory bandwidth of the L40.