NVIDIA L2 24GB vs NVIDIA RTX 5000 Ada 32GB
The RTX 5000 Ada delivers 2.7x the FP32 throughput of the L2 (65 vs 24 TFLOPS dense). The RTX 5000 Ada also carries 8 GB more memory (32 GB vs 24 GB).
NVIDIA L2 24GB
Full specs →NVIDIA RTX 5000 Ada 32GB
Full specs →Specifications
Performance (TFLOPS)
FLOPS by Precision
What actually differs
The L2 is the newer part: Ada Lovelace, launched in 2024, against the RTX 5000 Ada's Ada Lovelace from 2023. Newer architectures typically add lower-precision formats and better throughput per watt, so check the precision rows your workload actually uses.
Dense throughput for the L2 against the RTX 5000 Ada: FP32 24 vs 65 TFLOPS. Sparse figures, where the vendor publishes them, appear under each dense number in the performance table.
Memory is 24 GB against 32 GB, fed at 300 GB/s versus 576 GB/s. More memory per GPU means larger models fit before you have to shard across cards, which often matters more than raw TFLOPS for inference.
For LLM training and inference, weight the FP8 and FP16 rows and memory capacity most heavily. For scientific and HPC workloads, the FP64 row is the one to read.
Frequently asked questions
Is the L2 faster than the RTX 5000 Ada?
At FP32 precision the RTX 5000 Ada reaches 65 TFLOPS dense against 24 TFLOPS for the L2. The performance table on this page lists every published precision for both GPUs.
Which has more memory, the L2 or the RTX 5000 Ada?
The RTX 5000 Ada carries 32 GB of memory versus 24 GB for the L2. Memory bandwidth is 300 GB/s for the L2 and 576 GB/s for the RTX 5000 Ada.
Can I rent the L2 or the RTX 5000 Ada in the cloud?
Yes. Live cloud listings tracked by Flopper start at $0.41 per GPU hour. The rental pricing section on this page lists current providers and rates for both GPUs.
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