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.
ME

Meta MTIA 400 NEW

MTIA 2026
VRAM
288 GB
HBM
TDP
1.2 kW
Bandwidth
9.2 TB/s
memory

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 Metrics

Peak theoretical throughput by precision type

PrecisionBitsPeak TFLOPSEfficiency
FP8 8 6000.0 5.000 TFLOPS/W
FP4 4 12000.0 10.000 TFLOPS/W
BF16 16 3000.0 2.500 TFLOPS/W
FP8 Efficiency
5.000 TFLOPS/W
6000.0 TFLOPS / 1200W

Power Specifications

TDP

1.2 kW

Max Power

1.4 kW

Power Connector

PCIe 16-pin

Cooling

Air-assisted liquid cooling (AALC)

Memory Specifications

Capacity

288 GB

Type

HBM

Bandwidth

9200 GB/s

Interface

--

Hardware & Design

Form Factor

--

Architecture

MTIA

Process Node

--

Launch Year

2026

Variant

Standard

Market Segment

Professional

Full Specifications

Chip Design
Memory
VRAM 288 GB
Memory Type HBM
Bandwidth 9.2 TB/s
Interconnect & I/O
Interconnect Bandwidth 2.4 TB/s
Power & Thermal
TDP 1.2 kW
Cooling Air-assisted liquid cooling (AALC)
Enterprise Features
Compute APIs PyTorch, Triton
General
Architecture MTIA
Launch Year 2026

Documentation & Resources

Common Use Cases

General Compute AI/ML Workloads Data Processing

The Meta MTIA 400 is optimized for high-performance computing tasks with MTIA architecture delivering high TFLOPS of compute power.

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