Specifications Compared
| Spec | L40S | RTX-PRO-6000-BLACKWELL |
|---|---|---|
| TDP | 350W | 400W |
| VRAM | 48 GB | 96 GB |
| CUDA Cores | 18,176 | 21,760 |
| Memory Type | GDDR6X | GDDR7 |
| Architecture | Ada Lovelace | Blackwell |
| Form Factors | PCIe | PCIe |
| Interconnect | PCIe 4.0 | NVLink |
| Tensor Cores | 568 | 680 |
| FP8 Performance | 724 TFLOPS | 2,000 TFLOPS |
| FP16 Performance | 362 TFLOPS | 125 TFLOPS |
| FP32 Performance | 91 TFLOPS | 125 TFLOPS |
| FP64 Performance | 1.4 TFLOPS | |
| INT8 Performance | 724 TOPS | 2,000 TOPS |
| Memory Bandwidth | 864 GB/s | 1,792 GB/s |
Performance Analysis
The L40S outperforms in FP16 at 362 TFLOPS compared to the RTX PRO 6000's 125 TFLOPS, making it superior for training large language models where mixed-precision FP16 accelerates convergence without full FP32 accuracy loss of 91 TFLOPS on L40S versus 125 TFLOPS on RTX PRO 6000. Inference workloads benefit from RTX PRO 6000's 2000 TFLOPS FP8 capability, enabling quantized models to process more tokens per second than L40S's 724 TFLOPS FP8.
Memory bandwidth disparity proves critical: RTX PRO 6000's 1792 GB/s supports batch sizes twice as large as L40S's 864 GB/s in VRAM-constrained scenarios like fine-tuning with 96 GB versus 48 GB capacity. Higher TDP on RTX PRO 6000 at 400W versus 350W implies greater cooling demands but sustains peak performance in prolonged runs. NVLink on RTX PRO 6000 enhances multi-GPU scaling over L40S PCIe 4.0 for distributed training.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
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 | 4×NVIDIA L40S 48GB VRAM | 48GB | 46 vCPU 288GB RAM 2500GB Storage | Iowa | $0.88/GPU/hr $3.52/hr total (4×) | 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 L40S
Opt for the L40S in cost-sensitive deployments requiring high FP16 throughput of 362 TFLOPS for LLM training or fine-tuning, where its $0.40/hr starting price and 18 live offers provide better availability than RTX PRO 6000's 6 offers. Lower 350W TDP suits dense cloud instances with PCIe 4.0 simplicity.
When to Choose the RTX PRO 6000
Select the RTX PRO 6000 for memory-heavy inference tasks leveraging 96 GB GDDR7 VRAM and 1792 GB/s bandwidth, or FP8-optimized workloads at 2000 TFLOPS. NVLink interconnect accelerates multi-GPU setups, justifying the $0.59/hr entry despite fewer offers.
Use Cases
L40S delivers 362 TFLOPS FP16 for faster mixed-precision training compared to RTX PRO 6000's 125 TFLOPS. Lower pricing from $0.40/hr supports extended training runs.
RTX PRO 6000's 2000 TFLOPS FP8 and 96 GB VRAM enable quantized inference at scale with 1792 GB/s bandwidth for large batches. NVLink aids serving clusters.
L40S suits FP16-heavy tuning at 362 TFLOPS with 48 GB VRAM; RTX PRO 6000 handles bigger models via 96 GB and higher bandwidth. Choice depends on model size.
RTX PRO 6000's 96 GB VRAM and 1792 GB/s bandwidth support high-resolution generation with larger batches over L40S's 48 GB limit.
L40S FP32 at 91 TFLOPS meets simulation needs cost-effectively at average $1.10/hr. PCIe 4.0 fits standard clusters without NVLink overhead.
Frequently Asked Questions
Which GPU has more VRAM?▾
The RTX PRO 6000 offers 96 GB GDDR7 VRAM, doubling the L40S's 48 GB GDDR6X. This advantage aids memory-intensive tasks like large-batch inference.
What is the memory bandwidth difference?▾
RTX PRO 6000 provides 1792 GB/s, more than double L40S's 864 GB/s. Higher bandwidth on RTX PRO 6000 increases effective throughput in data-heavy workloads.
How do FP16 performances compare?▾
L40S achieves 362 TFLOPS FP16, exceeding RTX PRO 6000's 125 TFLOPS. L40S excels in FP16-dominant training scenarios.
What are the cloud pricing ranges?▾
L40S starts at $0.40/hr averaging $1.10/hr across 18 offers; RTX PRO 6000 from $0.59/hr averaging $1.14/hr over 6 offers. L40S provides more economical entry points.
Which has higher FP8 performance?▾
RTX PRO 6000 reaches 2000 TFLOPS FP8 versus L40S's 724 TFLOPS. This makes RTX PRO 6000 ideal for low-precision inference.
What are the TDP values?▾
L40S consumes 350W TDP, lower than RTX PRO 6000's 400W. Lower TDP on L40S enables higher density in power-constrained environments.
Which is cheaper to rent, the L40S or the RTX PRO 6000?▾
Cloud rental prices for both the L40S 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 L40S have compared to the RTX PRO 6000?▾
The L40S has 48 GB of GDDR6X memory. The RTX PRO 6000 has 96 GB of GDDR7 memory.
Can I find L40S 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 L40S and the RTX PRO 6000?▾
The L40S uses the Ada Lovelace architecture (2023) while the RTX PRO 6000 uses Blackwell (2025). The L40S delivers 2.9x the FP16 throughput and 2.1x the memory bandwidth of the RTX PRO 6000.


