vs Moore Threads MTT S4000 vs NVIDIA GeForce RTX 4080 16GB
Side-by-side specifications, performance, and rental pricing for datacenter AI workloads.
Moore Threads MTT S4000
Full specs →NVIDIA GeForce RTX 4080 16GB
Full specs →Specifications
Performance (TFLOPS)
FLOPS by Precision
What actually differs
The MTT S4000 is the newer part: MUSA 3rd Gen, launched in 2024, against the GeForce RTX 4080's Ada Lovelace from 2022. Newer architectures typically add lower-precision formats and better throughput per watt, so check the precision rows your workload actually uses.
Memory is 48 GB against 16 GB, fed at 768 GB/s versus 717 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
Which has more memory, the MTT S4000 or the GeForce RTX 4080?
The MTT S4000 carries 48 GB of memory versus 16 GB for the GeForce RTX 4080. Memory bandwidth is 768 GB/s for the MTT S4000 and 717 GB/s for the GeForce RTX 4080.
Can I rent the MTT S4000 or the GeForce RTX 4080 in the cloud?
Yes. Live cloud listings tracked by Flopper start at $0.20 per GPU hour. The rental pricing section on this page lists current providers and rates for both GPUs.
Where to Rent
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