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L40S vs RTX Pro 6000

Explore a head to head comparison of specifications, performance, and pricing.

L40S

The NVIDIA L40S delivers high-performance computing capabilities for AI, machine learning, and data science applications.

ManufacturerNVIDIA
GPU Architecture
Average Price$4.94/hr
GPU VRAM48 GB
Cloud Availability7 clouds
System Memory1536 GB
CPU Cores142
Storage30.7 TB

RTX Pro 6000

The NVIDIA RTX Pro 6000 delivers high-performance computing capabilities for AI, machine learning, and data science applications.

ManufacturerNVIDIA
GPU Architecture
Average Price$7.34/hr
GPU VRAM96 GB
Cloud Availability7 clouds
System Memory1800 GB
CPU Cores240
Storage30.7 TB

L40S vs RTX Pro 6000: Which Should You Choose?

The RTX Pro 6000 offers 96 GB of VRAM — 2× the 48 GB on the L40S — making it better suited for large model workloads that require holding more parameters in GPU memory. On FP16 throughput, the RTX Pro 6000 delivers 126 TFLOPS versus 91.61 TFLOPS on the L40S — 1.4× faster for mixed-precision training and inference. Memory bandwidth favors the L40S at 0.86 TB/s compared to 0.00 TB/s on the RTX Pro 6000, which directly impacts inference latency for memory-bandwidth-bound models. Architecturally, the L40S is built on Ada Lovelace while the RTX Pro 6000 uses Blackwell, reflecting different generational capabilities and optimizations. On Shadeform, the L40S starts from $0.74/hr versus $1.25/hr for the RTX Pro 6000 — 69% more expensive — reflecting the performance premium.

L40S — Best Use Cases

  • LLM inference and model serving
  • Image generation and diffusion models
  • Smaller fine-tuning runs
  • Cost-efficient GPU compute

Choose L40S when:

  • 48 GB VRAM is sufficient for your workload
  • Cost efficiency is your primary concern
  • Your workload does not require peak FP16 throughput

RTX Pro 6000 — Best Use Cases

  • Next-generation LLM pre-training at scale
  • Trillion-parameter model inference
  • Ultra-high-throughput AI workloads
  • Advanced HPC and scientific computing

Choose RTX Pro 6000 when:

  • You need 96 GB+ VRAM for large models or long context windows
  • Maximum performance justifies the higher cost
  • You are training large models or running high-throughput inference

See how the L40S & RTX Pro 6000 compare

Compare detailed hardware specifications and average pricing for the L40S and RTX Pro 6000.

Compare Hardware Specifications

L40SRTX Pro 6000
GPU Type
L40S
RTX Pro 6000
VRAM per GPU
48 GB
96 GB
Manufacturer
NVIDIA
NVIDIA
Architecture
Ada Lovelace
Blackwell
Interconnect
PCIe Gen4
PCIe Gen5
Memory Bandwidth
864 GB/s
1.59 TB/s
FP16 TFLOPS
91.61 TFLOPS (1:1)
126.0 TFLOPS (1:1)
CUDA Cores
18176
24064
Tensor Cores
568 (4th Gen)
752 (5th Gen)
RT Cores
142 (3rd Gen)
188 (4th Gen)
Base Clock
1110 MHz
1860 MHz
Boost Clock
2520 MHz
2600 MHz
TDP
350W
400W
Process Node
TSMC 4N
TSMC 4N
Data Formats
INT4, INT8, FP8, BF16, FP16, TF32, FP32
FP4, FP6, FP8, INT8, BF16, FP16, TF32, FP32

Compare Average On-Demand Pricing

L40SRTX Pro 6000
1 GPU
$1.27 /hr
$1.70 /hr
2 GPUs
$2.60 /hr
$3.30 /hr
4 GPUs
$5.18 /hr
$6.60 /hr
8 GPUs
$8.70 /hr
$14.11 /hr

Frequently Asked Questions: L40S vs RTX Pro 6000

The main differences are VRAM (48 GB vs 96 GB), FP16 throughput (91.61 vs 126 TFLOPS), architecture (Ada Lovelace vs Blackwell). The L40S uses the Ada Lovelace architecture while the RTX Pro 6000 is based on Blackwell, giving each GPU different generational capabilities.

The RTX Pro 6000 is generally better for large language model training due to its higher throughput and 96 GB of VRAM, which allows fitting larger models or larger batch sizes in a single pass. For smaller models or fine-tuning tasks where cost matters more, both GPUs can be effective.

On Shadeform, the L40S is available from $0.74/hr. The RTX Pro 6000 starts from $1.25/hr. Prices vary by provider, region, and contract length. Reserved commitments can reduce hourly costs significantly compared to on-demand pricing.

The RTX Pro 6000 has more VRAM at 96 GB, compared to 48 GB on the L40S. Higher VRAM allows you to run larger models without quantization, use longer context windows, and process larger batch sizes — all of which improve throughput and reduce latency for memory-bound workloads.

Based on TFLOPS per dollar, the L40S offers better raw compute value at current Shadeform on-demand rates. However, the best choice depends on your specific workload — if you need the extra VRAM or throughput of the RTX Pro 6000, paying the premium may be justified by faster job completion and lower total cost.

The L40S is currently available across 7 cloud providers on Shadeform's network, compared to 7 for the RTX Pro 6000. Shadeform lets you deploy either GPU across all available providers from a single platform, so you can always find available capacity without manually checking each cloud.

Mixing different GPU types in a single training cluster is generally not recommended, as it creates performance bottlenecks where faster GPUs wait for slower ones. For best results, use a homogeneous cluster of either L40S or RTX Pro 6000. Shadeform supports on-demand clusters of up to 64 GPUs of the same type with no commitment required.

Explore L40S & RTX Pro 6000 Instances

Browse available instances with L40S and RTX Pro 6000 GPUs. Filter by provider, availability, and more to find the perfect instance for your needs.

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