Enflame Yunsui T20 vs Enflame L600
Side-by-side specifications, performance, and rental pricing for datacenter AI workloads.
Enflame Yunsui T20
Full specs →Enflame L600
Full specs →Specifications
Performance (TFLOPS)
FLOPS by Precision
What actually differs
The L600 is the newer part: GCU-CARA 4, launched in 2025, against the Yunsui T20's GCU / DTU 2.0 from 2021. Newer architectures typically add lower-precision formats and better throughput per watt, so check the precision rows your workload actually uses.
Memory is 32 GB against 144 GB. 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
Which has more memory, the Yunsui T20 or the L600?
The L600 carries 144 GB of memory versus 32 GB for the Yunsui T20.
How much power do the Yunsui T20 and the L600 draw?
The Yunsui T20 is rated at 300 W TDP and the L600 at 700 W. On FP32 throughput per watt, the Yunsui T20 is the more efficient part.
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