DEPLOYDatabase

Chip comparison

Meta MTIA v2 vs NVIDIA B100 (Blackwell)

Side-by-side specs

Straight from each vendor's datasheet. Winner in bold: higher throughput, memory, or transistor count; lower power draw or price. Sparse (2:4) throughput roughly doubles the FP8/INT8 numbers shown.

FieldMeta MTIA v2NVIDIA B100 (Blackwell)
Process nodeTSMC N5TSMC 4NP
TDP90 W700 W
Memory128 GB LPDDR5192 GB HBM3e
Memory bandwidth205 GB/s8,000 GB/s
FP16 (dense)1,750 TFLOPS
BF16 (dense)1,750 TFLOPS
FP8 (dense)3,500 TFLOPS
INT8 (dense)708 TOPS
Form factorPCIe (internal Meta)SXM6 (700 W envelope)
Announced2024-04-102024-03-18
Released2024-05-012024-11-01

Robots running Meta MTIA v2

No robots publicly running it yet.

Robots running NVIDIA B100 (Blackwell)

No robots publicly running it yet.

Data centers with NVIDIA B100 (Blackwell)

No data centers publicly running it yet.

Common questions

Meta MTIA v2 vs NVIDIA B100 (Blackwell): which has more memory?

NVIDIA B100 (Blackwell) carries more HBM (Meta MTIA v2: 128 GB LPDDR5; NVIDIA B100 (Blackwell): 192 GB HBM3e). Memory capacity sets the largest model that fits on one chip without partitioning; memory bandwidth sets inference throughput.

Meta MTIA v2 vs NVIDIA B100 (Blackwell): which is more widely used?

Meta MTIA v2: 0 robots and 2 data centers publicly running it. NVIDIA B100 (Blackwell): 0 robots and 0 data centers. Empty here means no operator has said publicly, not zero adoption in the market.

See also: every chip comparison · Meta MTIA v2 full page · NVIDIA B100 (Blackwell) full page.