Meta MTIA 100 vs Meta MTIA 200
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 100
Full specs →Meta MTIA 200
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 100 against the MTIA 200: FP16 51 vs 177 TFLOPS. Sparse figures, where the vendor publishes them, appear under each dense number in the performance table.
Memory is 64 GB against 128 GB, fed at 176 GB/s versus 205 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 100 faster than the MTIA 200?
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 100 or the MTIA 200?
The MTIA 200 carries 128 GB of memory versus 64 GB for the MTIA 100. Memory bandwidth is 176 GB/s for the MTIA 100 and 205 GB/s for the MTIA 200.
How much power do the MTIA 100 and the MTIA 200 draw?
The MTIA 100 is rated at 25 W TDP and the MTIA 200 at 90 W.
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