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RTX Pro 6000 vs L40

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

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

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 Pro 6000 vs L40: Which Should You Choose?

The RTX Pro 6000 offers 96 GB of VRAM — 2× the 48 GB on the L40 — 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 90.52 TFLOPS on the L40 — 1.4× faster for mixed-precision training and inference. Memory bandwidth favors the L40 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 RTX Pro 6000 is built on Blackwell while the L40 uses Ada Lovelace, reflecting different generational capabilities and optimizations. On Shadeform, the L40 starts from $0.99/hr versus $1.25/hr for the RTX Pro 6000 — 26% more expensive — reflecting the performance premium. The RTX Pro 6000 is available across 7 cloud providers on Shadeform compared to 2 for the L40, giving more options for region and pricing flexibility.

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
  • You need flexibility across multiple cloud providers or regions

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:

  • 48 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 RTX Pro 6000 & L40 compare

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

Compare Hardware Specifications

RTX Pro 6000L40
GPU Type
RTX Pro 6000
L40
VRAM per GPU
96 GB
48 GB
Manufacturer
NVIDIA
NVIDIA
Architecture
Blackwell
Ada Lovelace
Interconnect
PCIe Gen5
PCIe Gen4
Memory Bandwidth
1.59 TB/s
864 GB/s
FP16 TFLOPS
126.0 TFLOPS (1:1)
90.52 TFLOPS (1:1)
CUDA Cores
24064
18176
Tensor Cores
752 (5th Gen)
568 (4th Gen)
RT Cores
188 (4th Gen)
142 (3rd Gen)
Base Clock
1860 MHz
735 MHz
Boost Clock
2600 MHz
2490 MHz
TDP
400W
300W
Process Node
TSMC 4N
TSMC 4N
Data Formats
FP4, FP6, FP8, INT8, BF16, FP16, TF32, FP32
FP8, INT8, BF16, FP16, TF32, FP32

Compare Average On-Demand Pricing

RTX Pro 6000L40
1 GPU
$1.70 /hr
$0.99 /hr
2 GPUs
$3.30 /hr
$1.99 /hr
4 GPUs
$6.60 /hr
$4.98 /hr
8 GPUs
$14.11 /hr
$8.00 /hr

Frequently Asked Questions: RTX Pro 6000 vs L40

The main differences are VRAM (96 GB vs 48 GB), FP16 throughput (126 vs 90.52 TFLOPS), architecture (Blackwell vs Ada Lovelace). The RTX Pro 6000 uses the Blackwell architecture while the L40 is based on Ada Lovelace, 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 L40 is available from $0.99/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 L40. 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 RTX Pro 6000 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 L40, paying the premium may be justified by faster job completion and lower total cost.

The RTX Pro 6000 is currently available across 7 cloud providers on Shadeform's network, compared to 2 for the L40. 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 RTX Pro 6000 or L40. Shadeform supports on-demand clusters of up to 64 GPUs of the same type with no commitment required.

Explore RTX Pro 6000 & L40 Instances

Browse available instances with RTX Pro 6000 and L40 GPUs. Filter by provider, availability, and more to find the perfect instance for your needs.

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