Specifications Compared
| Spec | L4 | RTX-PRO-6000-BLACKWELL |
|---|---|---|
| TDP | 72W | 400W |
| VRAM | 24 GB | 96 GB |
| CUDA Cores | 7,424 | 21,760 |
| Memory Type | GDDR6 | GDDR7 |
| Architecture | Ada Lovelace | Blackwell |
| Form Factors | PCIe | PCIe |
| Interconnect | PCIe 4.0 | NVLink |
| Tensor Cores | 232 | 680 |
| FP8 Performance | 242 TFLOPS | 2,000 TFLOPS |
| FP16 Performance | 121 TFLOPS | 125 TFLOPS |
| FP32 Performance | 30.3 TFLOPS | 125 TFLOPS |
| FP64 Performance | 0.5 TFLOPS | |
| INT8 Performance | 242 TOPS | 2,000 TOPS |
| Memory Bandwidth | 300 GB/s | 1,792 GB/s |
Performance Analysis
FP16 performance remains close between the GPUs: the L4 achieves 121 TFLOPS while the RTX PRO 6000 reaches 125 TFLOPS. The key disparity appears in FP32: 30.3 TFLOPS for L4 versus 125 TFLOPS for RTX PRO 6000. This gap favors the RTX PRO 6000 for training tasks reliant on FP32 precision, where sustained higher throughput accelerates model convergence.
FP8 performance shows stark contrast: 242 TFLOPS on L4 against 2000 TFLOPS on RTX PRO 6000. Such superiority enables the RTX PRO 6000 to handle large-scale inference with reduced latency, ideal for serving massive models. Memory bandwidth of 1792 GB/s on RTX PRO 6000 versus 300 GB/s on L4 supports larger batch sizes without bottlenecks, enhancing throughput in data-intensive operations.
The L4's 72W TDP contrasts with 400W on RTX PRO 6000, making L4 preferable for power-constrained inference. However, 96 GB VRAM on RTX PRO 6000 versus 24 GB on L4 accommodates larger models directly, minimizing multi-GPU complexity.
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 | |||
RunPod | NVIDIA L40S 48GB VRAM | 48GB | 16 vCPU 94GB RAM | 🌍global | $0.86/GPU/hr |
RTX PRO 6000
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 VERDA | 2×NVIDIA RTX PRO 6000 Blackwell 96GB VRAM | 96GB | 60 vCPU 180GB RAM | Helsinki | $1.89/GPU/hr $3.78/hr total (2×) | Available | ||
VERDA | NVIDIA RTX PRO 6000 Blackwell 96GB VRAM | 96GB | 30 vCPU 90GB RAM | Helsinki | $1.89/GPU/hr | Available |
When to Choose the L4
The L4 excels in cost-sensitive, low-power scenarios. Its pricing from $0.32 per hour and 72W TDP make it ideal for edge inference or deployments where efficiency trumps peak performance, such as lightweight LLM serving within 24 GB VRAM limits.
Users with PCIe 4.0 infrastructure and moderate workloads benefit from 15 live cloud offers averaging $0.68 per hour, avoiding the RTX PRO 6000's higher 400W draw and $1.14 per hour average.
When to Choose the RTX PRO 6000
The RTX PRO 6000 dominates high-memory tasks requiring 96 GB GDDR7 VRAM and 1792 GB/s bandwidth. It suits training large models leveraging 125 TFLOPS FP32 or inference with 2000 TFLOPS FP8, where L4's 24 GB and 300 GB/s fall short.
NVLink interconnect and Blackwell architecture enable scalable multi-GPU setups, justifying $0.59 per hour starting price for workloads demanding top throughput across 6 cloud offers.
Use Cases
RTX PRO 6000's 125 TFLOPS FP32 and 96 GB VRAM handle large-scale training efficiently. L4's 30.3 TFLOPS FP32 limits batch sizes and speed.
The 2000 TFLOPS FP8 and 1792 GB/s bandwidth on RTX PRO 6000 support high-throughput serving of massive models. L4's 242 TFLOPS FP8 suits only smaller inferences.
96 GB VRAM accommodates full model fine-tuning without partitioning. Superior FP16 at 125 TFLOPS accelerates iterations over L4's 121 TFLOPS.
L4's 72W TDP and $0.32 per hour pricing fit iterative image generation efficiently within 24 GB VRAM. RTX PRO 6000's power draw proves excessive for typical batches.
L4 suffices for FP32-limited simulations at low cost with 30.3 TFLOPS. RTX PRO 6000 excels in memory-bound tasks needing 96 GB and 125 TFLOPS FP32.
Frequently Asked Questions
Which GPU has more VRAM?▾
The RTX PRO 6000 offers 96 GB GDDR7 VRAM compared to 24 GB GDDR6 on the L4. This enables handling larger models without swapping. Bandwidth follows suit at 1792 GB/s versus 300 GB/s.
What are the cloud pricing differences?▾
L4 starts at $0.32 per hour averaging $0.68 across 15 offers. RTX PRO 6000 begins at $0.59 per hour averaging $1.14 across 6 offers. L4 provides more availability.
Which is better for FP8 inference?▾
RTX PRO 6000 delivers 2000 TFLOPS FP8 versus L4's 242 TFLOPS. This yields faster low-precision inference for LLMs. Memory capacity further boosts its edge.
How do power consumptions compare?▾
L4 uses 72W TDP ideal for dense deployments. RTX PRO 6000 requires 400W suiting high-performance racks. Choose based on infrastructure limits.
What architectures do they use?▾
L4 employs Ada Lovelace from 2023 with PCIe 4.0. RTX PRO 6000 uses Blackwell from 2025 with NVLink. Newer design brings compute leaps.
Is L4 sufficient for small model training?▾
L4's 121 TFLOPS FP16 and 30.3 TFLOPS FP32 work for models fitting 24 GB VRAM. It offers cost savings at $0.68 per hour average. Scale to RTX PRO 6000 for larger ones.
Which is cheaper to rent, the L4 or the RTX PRO 6000?▾
Cloud rental prices for both the L4 and RTX PRO 6000 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 L4 have compared to the RTX PRO 6000?▾
The L4 has 24 GB of GDDR6 memory. The RTX PRO 6000 has 96 GB of GDDR7 memory.
Can I find L4 and RTX PRO 6000 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 L4 and the RTX PRO 6000?▾
The L4 uses the Ada Lovelace architecture (2023) while the RTX PRO 6000 uses Blackwell (2025). The RTX PRO 6000 delivers 1.0x the FP16 throughput and 6.0x the memory bandwidth of the L4.