Captive silicon. MTIA is designed by Meta for its own data centers and cannot be bought or rented from anyone, and no cloud provider offers it, so there is no rental price for this part. Meta has finished testing MTIA 400 in its labs and states it is on the path to deployment in its data centers, so this part is not yet in volume production.
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Meta MTIA 400

Type: ASICArchitecture: MTIAAnnounced: 2026Status: Announced, not shippingSpec confidence: Official
FP8 (dense)
6,000
TFLOPS
Memory
288 GB
HBM
Bandwidth
9.2 TB/s
memory
TDP
1.2 kW

Overview

The Meta MTIA 400 is the first MTIA chip Meta designed for raw performance rather than cost efficiency alone, and Meta states it delivers performance competitive with leading commercial products. It evolves the MTIA 300 by combining two compute chiplets to double compute density, and adds support for enhanced MX8 and MX4 low-precision formats that matter for generative AI inference. Against the MTIA 300 it offers 400 percent higher FP8 throughput and 51 percent more HBM bandwidth, reaching 12 PFLOPS of MX4, 6 PFLOPS of FP8 and 3 PFLOPS of BF16, with 288 GB of HBM at 9.2 TB/s in a 1200 W module. Seventy-two MTIA 400 devices connect over a switched backplane to form a single scale-up domain, filling a rack-scale system that Meta cools with air-assisted liquid cooling. That choice is deliberate: while the part also supports facility liquid cooling, AALC lets Meta deploy it rapidly into legacy data centers that were never plumbed for direct liquid cooling. MTIA 400 keeps full support for the ranking and recommendation workloads its predecessor targeted while broadening coverage to general generative AI.

Performance

Peak theoretical throughput by precision type

PrecisionPeak
FP64
No verified data available
FP32
No verified data available
TF32
No verified data available
BF16
Brain Float 16
3,000TFLOPS
FP16
No verified data available
FP8
8-bit floating point
6,000TFLOPS
FP6
No verified data available
FP4
4-bit floating point
12,000TFLOPS
INT8
No verified data available

Specifications

Architecture

MTIA

Form Factor

No verified data available

Launch Year

2026

Process Node

No verified data available

Memory

288 GB HBM

Bandwidth

9,200 GB/s

TDP

1.2 kW

Max power (Flopper estimate)

~1.4 kW est. Flopper estimate: 1200 W TDP x 1.15. The vendor publishes no maximum board power for this part.

Interconnect

2.4 TB/s

direction and scope not stated by vendor

Spec Confidence

Official

Full Specifications

Chip Design
Memory
Memory 288 GB
Memory Type HBM
Bandwidth 9.2 TB/s
Interface Width No verified data available
Interconnect & I/O
Interconnect Bandwidth 2.4 TB/s direction and scope not stated by vendor
Power & Thermal
TDP 1.2 kW
Max power (Flopper estimate) ~1.4 kW est.
Cooling Air-assisted liquid cooling (AALC)
Enterprise Features
Compute APIs PyTorch, Triton
General
Form Factor No verified data available
Architecture MTIA
Process Node No verified data available
Launch Year 2026

Datasheet & Resources

Data Provenance

Every figure traced to a source

Data Quality

Spec confidence
Official
Clock basis
Boost
Core precisions with figures
3 of 9
Normalization
All values in TFLOPS

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Frequently Asked Questions

How many TFLOPS does the Meta MTIA 400 have?

The Meta MTIA 400 delivers 6,000 TFLOPS FP8 at peak. Flopper does not currently have verified FP32 and FP16 throughput figures for it.

What is the power consumption of the Meta MTIA 400?

The Meta MTIA 400 has a TDP (Thermal Design Power) rating of 1,200 watts.

How much memory does the Meta MTIA 400 have?

The Meta MTIA 400 is equipped with 288 GB of memory with 9,200 GB/s of memory bandwidth.

What architecture is the Meta MTIA 400 based on?

The Meta MTIA 400 is based on the MTIA architecture, launched in 2026.

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