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L40 vs RTX 6000

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

L40

The NVIDIA L40 delivers high-performance computing capabilities for AI, machine learning, and data science applications.

ManufacturerNVIDIA
GPU Architecture
Average Price$3.42/hr
GPU VRAM48 GB
Cloud Availability2 clouds
System Memory768 GB
CPU Cores252
Storage6.6 TB

RTX 6000

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

ManufacturerNVIDIA
GPU Architecture
Average Price$0.50/hr
GPU VRAM24 GB
Cloud Availability1 clouds
System Memory46 GB
CPU Cores14
Storage512 GB

L40 vs RTX 6000: Which Should You Choose?

The L40 offers 48 GB of VRAM — 2× the 24 GB on the RTX 6000 — making it better suited for large model workloads that require holding more parameters in GPU memory. On FP16 throughput, the L40 delivers 90.52 TFLOPS versus 32.62 TFLOPS on the RTX 6000 — 3× faster for mixed-precision training and inference. Memory bandwidth favors the L40 at 0.86 TB/s compared to 0.67 TB/s on the RTX 6000, which directly impacts inference latency for memory-bandwidth-bound models. Architecturally, the L40 is built on Ada Lovelace while the RTX 6000 uses Turing, reflecting different generational capabilities and optimizations. On Shadeform, the RTX 6000 starts from $0.50/hr versus $0.99/hr for the L40 — 98% more expensive — reflecting the performance premium. The L40 is available across 2 cloud providers on Shadeform compared to 1 for the RTX 6000, giving more options for region and pricing flexibility.

L40 — Best Use Cases

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

Choose L40 when:

  • You need 48 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
  • You need flexibility across multiple cloud providers or regions

RTX 6000 — Best Use Cases

  • Inference and model serving
  • Light training and fine-tuning
  • Graphics and rendering workloads

Choose RTX 6000 when:

  • 24 GB VRAM is sufficient for your workload
  • Cost efficiency is your primary concern
  • Your workload does not require peak FP16 throughput
  • Your preferred provider already has availability

See how the L40 & RTX 6000 compare

Compare detailed hardware specifications and average pricing for the L40 and RTX 6000.

Compare Hardware Specifications

L40RTX 6000
GPU Type
L40
RTX 6000
VRAM per GPU
48 GB
24 GB
Manufacturer
NVIDIA
NVIDIA
Architecture
Ada Lovelace
Turing
Interconnect
PCIe Gen4
PCIe Gen3
Memory Bandwidth
864 GB/s
672 GB/s
FP16 TFLOPS
90.52 TFLOPS (1:1)
32.62 TFLOPS (2:1)
CUDA Cores
18176
4608
Tensor Cores
568 (4th Gen)
576 (2nd Gen)
RT Cores
142 (3rd Gen)
72 (1st Gen)
Base Clock
735 MHz
1440 MHz
Boost Clock
2490 MHz
1770 MHz
TDP
300W
295W
Process Node
TSMC 4N
TSMC 12nm
Data Formats
FP8, INT8, BF16, FP16, TF32, FP32
INT8, INT4, FP16, FP32

Compare Average On-Demand Pricing

L40RTX 6000
1 GPU
$0.99 /hr
$0.50 /hr
2 GPUs
$1.99 /hr
N/A
4 GPUs
$4.98 /hr
N/A
8 GPUs
$8.00 /hr
N/A

Frequently Asked Questions: L40 vs RTX 6000

The main differences are VRAM (48 GB vs 24 GB), FP16 throughput (90.52 vs 32.62 TFLOPS), architecture (Ada Lovelace vs Turing). The L40 uses the Ada Lovelace architecture while the RTX 6000 is based on Turing, giving each GPU different generational capabilities.

The L40 is generally better for large language model training due to its higher throughput and 48 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 RTX 6000 is available from $0.50/hr. The L40 starts from $0.99/hr. Prices vary by provider, region, and contract length. Reserved commitments can reduce hourly costs significantly compared to on-demand pricing.

The L40 has more VRAM at 48 GB, compared to 24 GB on the RTX 6000. 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 L40 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 6000, paying the premium may be justified by faster job completion and lower total cost.

The L40 is currently available across 2 cloud providers on Shadeform's network, compared to 1 for the RTX 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 L40 or RTX 6000. Shadeform supports on-demand clusters of up to 64 GPUs of the same type with no commitment required.

Explore L40 & RTX 6000 Instances

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