Meta MTIA 100 vs Meta MTIA 400
The MTIA 400 delivers 58.6x the BF16 throughput of the MTIA 100 (3,000 vs 51 TFLOPS dense). The MTIA 400 also carries 224 GB more memory (288 GB vs 64 GB).
Meta MTIA 100
Full specs →Meta MTIA 400
Full specs →Specifications
Performance (TFLOPS)
FLOPS by Precision
What actually differs
The MTIA 400 is the newer part: MTIA, launched in 2026, against the MTIA 100's MTIA from 2023. Newer architectures typically add lower-precision formats and better throughput per watt, so check the precision rows your workload actually uses.
Memory is 64 GB against 288 GB, fed at 176 GB/s versus 9.2 TB/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 MTIA 100 faster than the MTIA 400?
At BF16 precision the MTIA 400 reaches 3,000 TFLOPS dense against 51 TFLOPS for the MTIA 100. The performance table on this page lists every published precision for both GPUs.
Which has more memory, the MTIA 100 or the MTIA 400?
The MTIA 400 carries 288 GB of memory versus 64 GB for the MTIA 100. Memory bandwidth is 176 GB/s for the MTIA 100 and 9.2 TB/s for the MTIA 400.
How much power do the MTIA 100 and the MTIA 400 draw?
The MTIA 100 is rated at 25 W TDP and the MTIA 400 at 1.2 kW.
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