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RTX 4090 vs L4

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

RTX 4090

The NVIDIA RTX 4090 delivers high-performance computing capabilities for AI, machine learning, and data science applications.

ManufacturerNVIDIA
GPU Architecture
Average Price$2.69/hr
GPU VRAM24 GB
Cloud Availability3 clouds
System Memory706 GB
CPU Cores120
Storage15.4 TB

L4

The NVIDIA L4 delivers high-performance computing capabilities for AI, machine learning, and data science applications.

ManufacturerNVIDIA
GPU Architecture
Average Price$3.17/hr
GPU VRAM24 GB
Cloud Availability1 clouds
System Memory384 GB
CPU Cores64
Storage500 GB

RTX 4090 vs L4: Which Should You Choose?

Both the RTX 4090 and L4 offer 24 GB of VRAM, putting them on equal footing for memory-bound workloads. On FP16 throughput, the RTX 4090 delivers 82.58 TFLOPS versus 30.29 TFLOPS on the L4 — 3× faster for mixed-precision training and inference. Memory bandwidth favors the L4 at 0.30 TB/s compared to 0.00 TB/s on the RTX 4090, which directly impacts inference latency for memory-bandwidth-bound models. On Shadeform, the RTX 4090 starts from $0.60/hr versus $0.90/hr for the L4 — 50% more expensive — reflecting the performance premium. The RTX 4090 is available across 3 cloud providers on Shadeform compared to 1 for the L4, giving more options for region and pricing flexibility.

RTX 4090 — Best Use Cases

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

Choose RTX 4090 when:

  • Cost efficiency is your primary concern
  • You are training large models or running high-throughput inference
  • You need flexibility across multiple cloud providers or regions

L4 — Best Use Cases

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

Choose L4 when:

  • Maximum performance justifies the higher cost
  • Your workload does not require peak FP16 throughput
  • Your preferred provider already has availability

See how the RTX 4090 & L4 compare

Compare detailed hardware specifications and average pricing for the RTX 4090 and L4.

Compare Hardware Specifications

RTX 4090L4
GPU Type
RTX 4090
L4
VRAM per GPU
24 GB
24 GB
Manufacturer
NVIDIA
NVIDIA
Architecture
Ada Lovelace
Ada Lovelace
Interconnect
PCIe Gen4
PCIe Gen4
Memory Bandwidth
1.008 TB/s
300 GB/s
FP16 TFLOPS
82.58 TFLOPS (1:1)
30.29 TFLOPS (1:1)
CUDA Cores
16384
7424
Tensor Cores
512 (4th Gen)
232 (4th Gen)
RT Cores
128 (3rd Gen)
58 (3rd Gen)
Base Clock
2235 MHz
795 MHz
Boost Clock
2520 MHz
2040 MHz
TDP
450W
72W
Process Node
TSMC 4N
TSMC 4N
Data Formats
FP8, INT8, BF16, FP16, TF32, FP32
FP8, INT8, BF16, FP16, TF32, FP32

Compare Average On-Demand Pricing

RTX 4090L4
1 GPU
$0.60 /hr
$0.90 /hr
2 GPUs
$1.20 /hr
$1.72 /hr
4 GPUs
$2.40 /hr
$3.37 /hr
8 GPUs
$3.97 /hr
$6.67 /hr

Frequently Asked Questions: RTX 4090 vs L4

The main differences are FP16 throughput (82.58 vs 30.29 TFLOPS).

The RTX 4090 is generally better for large language model training due to its higher throughput and 24 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 4090 is available from $0.60/hr. The L4 starts from $0.90/hr. Prices vary by provider, region, and contract length. Reserved commitments can reduce hourly costs significantly compared to on-demand pricing.

Based on TFLOPS per dollar, the RTX 4090 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 L4, paying the premium may be justified by faster job completion and lower total cost.

The RTX 4090 is currently available across 3 cloud providers on Shadeform's network, compared to 1 for the L4. 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 4090 or L4. Shadeform supports on-demand clusters of up to 64 GPUs of the same type with no commitment required.

Explore RTX 4090 & L4 Instances

Browse available instances with RTX 4090 and L4 GPUs. Filter by provider, availability, and more to find the perfect instance for your needs.

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