Meta MTIA 200
Overview
MTIA 200 is the same 8x8 grid of processing elements as MTIA 100 rebuilt on TSMC 5nm and clocked at 1.35 GHz instead of 800 MHz, inside a 90 W envelope instead of 25 W. The result is 354 TOPS of dense INT8 and 177 TFLOPS of dense FP16 or BF16, roughly three and a half times the first generation, with the memory grown to match: 256 MB of on-chip SRAM at 2.7 TB/s and 128 GB of LPDDR5 at 204.8 GB/s. It is also the generation where Meta started labelling sparsity, publishing 708 TOPS of INT8 and 354 TFLOPS of FP16 with structured sparsity alongside the dense pair, which is why the dense and sparse columns on this row are both real published numbers rather than one of them being derived. The deployment shape changed too: rather than twelve dual M.2 cards in a general-purpose server, MTIA 200 ships in a rack of up to 72 accelerators, three chassis of twelve boards carrying two chips each. Like every MTIA generation it is captive to Meta and cannot be bought or rented.
Performance
Peak theoretical throughput by precision type
| Precision | Dense | 2:4 Sparse |
|---|---|---|
FP64 | No verified data available | Structured sparsity is a tensor-core feature; this vector precision has no sparse form |
FP32 32-bit floating point | No verified data available | Structured sparsity is a tensor-core feature; this vector precision has no sparse form |
TF32 | No verified data available | The part supports 2:4 sparsity, but the vendor publishes no sparse figure for this precision |
BF16 Brain Float 16 | 177TFLOPS | 354TFLOPS |
FP16 16-bit floating point | 177TFLOPS | 354TFLOPS |
FP8 | No verified data available | The part supports 2:4 sparsity, but the vendor publishes no sparse figure for this precision |
FP6 | No verified data available | The part supports 2:4 sparsity, but the vendor publishes no sparse figure for this precision |
FP4 | No verified data available | The part supports 2:4 sparsity, but the vendor publishes no sparse figure for this precision |
INT8 8-bit integer | 354TOPS | 708TOPS |
Dense peak divided by accelerator TDP. Board power only: excludes host CPUs, networking, cooling and facility overhead. TDP for this part: 90 W.
The MTIA 200 in the GPU landscape
Peak FP16 TFLOPS (dense) against TDP, single-GPU parts tracked by Flopper
Higher and further left is better: more half-precision throughput for less power.
Specifications
Architecture
MTIA
Form Factor
No verified data available
Launch Year
2024
Process Node
5nm
Memory
128 GB LPDDR5
Bandwidth
204.8 GB/s
TDP
90 W
Max power (Flopper estimate)
~103 W est. Flopper estimate: 90 W TDP x 1.15. The vendor publishes no maximum board power for this part.
Processing Element
64
Spec Confidence
Official
Full Specifications
| Compute Engine | |
|---|---|
| Processing Element | 64 |
| Boost Clock | 1.35 GHz |
| Chip Design | |
| Die Size | 421 mm² |
| Process Node | 5nm |
| Chiplets | 1 (Monolithic) |
| Memory | |
| Memory | 128 GB |
| Memory Type | LPDDR5 |
| Bandwidth | 205 GB/s |
| Interface Width | No verified data available |
| Effective Bandwidth | 2.7 TB/s |
| On-Die SRAM | 256 MB |
| Interconnect & I/O | |
| PCIe | 5.0 x8 |
| Power & Thermal | |
| TDP | 90 W |
| Max power (Flopper estimate) | ~103 W est. |
| Enterprise Features | |
| Sparsity | Yes |
| Compute APIs | PyTorch, Triton |
| General | |
| Form Factor | No verified data available |
| Architecture | MTIA |
| Process Node | 5nm |
| Launch Year | 2024 |
Datasheet & Resources
Data Provenance
Every figure traced to a source
Primary Source
- Publisher
- Meta
- Published
- 2024-04-10
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 200 have?
The Meta MTIA 200 delivers 177 TFLOPS FP16 at peak. Flopper does not currently have verified FP32 and FP8 throughput figures for it.
What is the power consumption of the Meta MTIA 200?
The Meta MTIA 200 has a TDP (Thermal Design Power) rating of 90 watts.
How much memory does the Meta MTIA 200 have?
The Meta MTIA 200 is equipped with 128 GB of memory with 204.8 GB/s of memory bandwidth.
What architecture is the Meta MTIA 200 based on?
The Meta MTIA 200 is based on the MTIA architecture, launched in 2024.
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