AWS sells Trainium only as EC2 Trn1 and Trn1n capacity, never as a component, so form factor, TDP and list price are deliberately empty. FP8 equals FP16, BF16 and TF32 at 190 TFLOPS because AWS quotes one figure for the whole datatype group; that is AWS's published rating, not a missing doubling.
AWS logo

AWS Trainium

Type: ASICArchitecture: NeuronCore-v2Released: 2020Spec confidence: Official
FP8 (dense)
190
TFLOPS
FP32
48
TFLOPS
Memory
32 GB
HBM
Bandwidth
820 GB/s
memory

Overview

Trainium is the first AWS chip built for training rather than inference, the part under EC2 Trn1 and Trn1n instances and the start of the line that runs through Trainium2 and Trainium3. Each chip is two NeuronCore-v2 cores over 32 GB of HBM at 820 GB/s, rated by AWS at 190 TFLOPS across FP16, BF16, its configurable cFP8 and TF32, 380 TOPS of INT8 and 47.5 TFLOPS of FP32, with 48 MiB of software-managed on-chip SRAM. It is the same two-core NeuronCore-v2 design as Inferentia2, which is why the two chips carry identical figures; what Trainium adds is the scale-out, with NeuronLink-v2 at 384 GB/s per chip joining sixteen chips in a 2D torus inside a trn1.32xlarge so their memory can be pooled, and stochastic rounding for training. AWS announced it at re:Invent 2020 and made Trn1 generally available in October 2022. It is sold only as EC2 capacity, and AWS publishes no power figure, process node or die size for it.

Performance

Peak theoretical throughput by precision type

PrecisionPeak
FP64
No verified data available
FP32
32-bit floating point
48TFLOPS
TF32
TensorFloat-32
190TFLOPS
BF16
Brain Float 16
190TFLOPS
FP16
16-bit floating point
190TFLOPS
FP8
8-bit floating point
190TFLOPS
FP6
No verified data available
FP4
No verified data available
INT8
8-bit integer
380TOPS

Every figure here is dense. The vendor documents no structured (2:4) sparsity mode for this part, so there is no second number to quote.

Specifications

Architecture

NeuronCore-v2

Form Factor

No verified data available

Launch Year

2020

Process Node

No verified data available

Memory

32 GB HBM

Bandwidth

820 GB/s

TDP

No verified data available

Max power

No verified data available

Interconnect

384 GB/s NeuronLink-v2

direction and scope not stated by vendor

NeuronCore-v2

2

Spec Confidence

Official

Full Specifications

Compute Engine
NeuronCore-v2 2
Memory
Memory 32 GB
Memory Type HBM
Bandwidth 820 GB/s
Interface Width No verified data available
On-Die SRAM 48 MB
Interconnect & I/O
GPU-to-GPU NeuronLink-v2
Interconnect Bandwidth 384 GB/s direction and scope not stated by vendor
Power & Thermal
TDP No verified data available
Max power No verified data available
Enterprise Features
Sparsity No
General
Form Factor No verified data available
Architecture NeuronCore-v2
Process Node No verified data available
Launch Year 2020

Datasheet & Resources

Data Provenance

Every figure traced to a source

Primary Source

Publisher
AWS
Published
No verified data available

Data Quality

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

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Frequently Asked Questions

How many TFLOPS does the AWS Trainium have?

The AWS Trainium delivers 48 TFLOPS FP32, 190 TFLOPS FP16 and 190 TFLOPS FP8 at peak.

What is the power consumption of the AWS Trainium?

Flopper does not currently have a verified TDP (Thermal Design Power) figure for the AWS Trainium.

How much memory does the AWS Trainium have?

The AWS Trainium is equipped with 32 GB of memory with 820 GB/s of memory bandwidth.

What architecture is the AWS Trainium based on?

The AWS Trainium is based on the NeuronCore-v2 architecture, launched in 2020.

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