Specifications Compared
| Spec | GB300 | L4 |
|---|---|---|
| TDP | 1400W | 72W |
| VRAM | 288 GB | 24 GB |
| Memory Type | HBM3e | GDDR6 |
| Architecture | Blackwell Ultra | Ada Lovelace |
| Form Factors | SXM | PCIe |
| Interconnect | NVSwitch, NVLink | PCIe 4.0 |
| FP8 Performance | 4,500 TFLOPS | 242 TFLOPS |
| FP16 Performance | 2,250 TFLOPS | 121 TFLOPS |
| FP32 Performance | 90 TFLOPS | 30.3 TFLOPS |
| FP64 Performance | 45 TFLOPS | 0.5 TFLOPS |
| INT8 Performance | 4,500 TOPS | 242 TOPS |
| Memory Bandwidth | 12,000 GB/s | 300 GB/s |
Performance Analysis
GB300's FP16 performance of 2250 TFLOPS dwarfs L4's 121 TFLOPS, enabling up to 18-fold faster large model training where half-precision dominates. FP32 throughput at 90 TFLOPS on GB300 exceeds L4's 30.3 TFLOPS, benefiting general-purpose simulations and rendering. FP8 capabilities reach 4500 TFLOPS on GB300 compared to 242 TFLOPS on L4, accelerating quantized inference for LLMs. The 12000 GB/s bandwidth of GB300 supports batch sizes 40 times larger than L4's 300 GB/s, minimizing latency in high-volume inference. HBM3e memory on GB300 handles datasets exceeding 288 GB, while L4's GDDR6 limits it to 24 GB contexts.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
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 | |||
 Massed Compute | NVIDIA L40 48GB VRAM | 48GB | 14 vCPU 72GB RAM 625GB Storage | Iowa | $0.86/GPU/hr | Available |
When to Choose the GB300 SXM6
Select GB300 for large-scale LLM training or fine-tuning where 288 GB VRAM accommodates full model loading without sharding. Its 12000 GB/s bandwidth and 2250 TFLOPS FP16 excel in multi-node clusters via NVLink and NVSwitch. Data centers prioritizing peak throughput over power efficiency favor GB300 despite 1400W TDP.
When to Choose the L4
Opt for L4 in edge inference or small-batch deployments needing 72W TDP and PCIe compatibility. Cloud users benefit from pricing at $0.32 per hour average $0.68 per hour across 15 offers. L4 suits prototyping or Stable Diffusion with 24 GB VRAM sufficient for most real-time generation.
Use Cases
GB300's 288 GB VRAM and 2250 TFLOPS FP16 handle massive models without partitioning. L4's 24 GB limits it to tiny datasets.
12000 GB/s bandwidth on GB300 supports high batch sizes for low-latency serving. L4 works for small models but throttles at scale.
90 TFLOPS FP32 and 4500 TFLOPS FP8 on GB300 accelerate parameter-efficient tuning. L4's lower specs prolong iterations.
L4's 24 GB VRAM and 72W TDP suffice for real-time image generation at $0.32 per hour. GB300 overkill for single inferences.
L4 fits low-power simulations with 30.3 TFLOPS FP32; GB300 scales to complex HPC via NVLink. Choice depends on dataset size.
Frequently Asked Questions
What is the VRAM difference between GB300 and L4?▾
GB300 provides 288 GB HBM3e VRAM, 12 times more than L4's 24 GB GDDR6. This enables GB300 to load entire large models, while L4 requires model parallelism.
How do FP16 performances compare?▾
GB300 achieves 2250 TFLOPS FP16 versus L4's 121 TFLOPS, a 18-fold advantage. Training speeds scale accordingly for deep learning tasks.
What are the power requirements?▾
GB300 demands 1400W TDP in SXM form, suited for data centers. L4 uses 72W in PCIe, ideal for edge or dense cloud instances.
Is there cloud pricing for these GPUs?▾
L4 offers start at $0.32 per hour, averaging $0.68 per hour across 15 providers. GB300 has no live offers currently.
Which has higher memory bandwidth?▾
GB300 delivers 12000 GB/s, 40 times L4's 300 GB/s. Larger batches and lower latency result on GB300 for inference.
What interconnects do they use?▾
GB300 supports NVSwitch and NVLink for multi-GPU scaling. L4 uses PCIe 4.0 for single-node flexibility.
Which is cheaper to rent, the GB300 or the L4?▾
Cloud rental prices for both the GB300 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 GB300 have compared to the L4?▾
The GB300 has 288 GB of HBM3e memory. The L4 has 24 GB of GDDR6 memory.
Can I find GB300 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 GB300 and the L4?▾
The GB300 uses the Blackwell Ultra architecture (2025) while the L4 uses Ada Lovelace (2023). The GB300 delivers 18.6x the FP16 throughput and 40.0x the memory bandwidth of the L4.