Meta MTIA 200 vs Meta MTIA 100
The MTIA 200 delivers 3.5x the FP16 throughput of the MTIA 100 (177 vs 51 TFLOPS dense). The MTIA 200 also carries 64 GB more memory (128 GB vs 64 GB).
Meta MTIA 200
Full specs →Meta MTIA 100
Full specs →Specifications
Performance (TFLOPS)
FLOPS by Precision
What actually differs
The MTIA 200 is the newer part: MTIA, launched in 2024, 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.
Dense throughput for the MTIA 200 against the MTIA 100: FP16 177 vs 51 TFLOPS. Sparse figures, where the vendor publishes them, appear under each dense number in the performance table.
Memory is 128 GB against 64 GB, fed at 205 GB/s versus 176 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 MTIA 200 faster than the MTIA 100?
At FP16 precision the MTIA 200 reaches 177 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 200 or the MTIA 100?
The MTIA 200 carries 128 GB of memory versus 64 GB for the MTIA 100. Memory bandwidth is 205 GB/s for the MTIA 200 and 176 GB/s for the MTIA 100.
How much power do the MTIA 200 and the MTIA 100 draw?
The MTIA 200 is rated at 90 W TDP and the MTIA 100 at 25 W.
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