AWS logo

AWS Trainium2

Type: ASICArchitecture: NeuronCore-v3Released: 2024Spec confidence: Official
FP8 (dense)
1,299
TFLOPS
FP32
181
TFLOPS
Memory
96 GB
Bandwidth
2.9 TB/s
memory

Overview

AWS Trainium2 is Amazon's third-generation AI training and inference accelerator, and the chip behind Trn2 instances and Trn2 UltraServers. Each chip carries eight NeuronCore-v3 delivering 1,299 FP8 TFLOPS, 667 TFLOPS across BF16, FP16 and TF32, and 181 FP32 TFLOPS, with 96 GiB of device memory at 2.9 TB/s and 224 MiB of software-managed on-chip SBUF scratchpad. Chip-to-chip traffic runs over NeuronLink-v3 at 1.28 TB/s per chip, and 16 dedicated CC-Cores orchestrate collective communication so that reductions do not consume compute cores. AWS publishes a sparse figure of 2,563 TFLOPS spanning FP8, FP16, BF16 and TF32; note that this is 1.97x the dense FP8 rate but 3.84x the dense BF16 rate, so it does not behave like conventional 2:4 structured sparsity and should not be read as a simple doubling. AWS publishes no TDP and does not name the process node or the memory generation for this chip.

Performance

Peak theoretical throughput by precision type

PrecisionDense2:4 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
181TFLOPS Structured sparsity is a tensor-core feature; this vector precision has no sparse form
TF32
TensorFloat-32
667TFLOPS 2,563TFLOPS
BF16
Brain Float 16
667TFLOPS 2,563TFLOPS
FP16
16-bit floating point
667TFLOPS 2,563TFLOPS
FP8
8-bit floating point
1,299TFLOPS 2,563TFLOPS
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
No verified data available The part supports 2:4 sparsity, but the vendor publishes no sparse figure for this precision

Specifications

Architecture

NeuronCore-v3

Form Factor

No verified data available

Launch Year

2024

Process Node

No verified data available

Memory

96 GB

Bandwidth

2,900 GB/s

TDP

No verified data available

Max power

No verified data available

Interconnect

1.3 TB/s NeuronLink-v3

direction and scope not stated by vendor

NeuronCore-v3

8

Spec Confidence

Official

Full Specifications

Compute Engine
NeuronCore-v3 8
Memory
Memory 96 GB
Memory Type No verified data available
Bandwidth 2.9 TB/s
Interface Width No verified data available
On-Die SRAM 224 MB
Interconnect & I/O
GPU-to-GPU NeuronLink-v3
Interconnect Bandwidth 1.3 TB/s direction and scope not stated by vendor
Power & Thermal
TDP No verified data available
Max power No verified data available
Enterprise Features
Sparsity Yes
General
Form Factor No verified data available
Architecture NeuronCore-v3
Process Node No verified data available
Launch Year 2024

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
5 of 9
Normalization
All values in TFLOPS

Compare cloud providers offering on-demand GPU instances for AI training, inference, and HPC workloads.

Browse GPU Cloud Providers

Systems Using This GPU

Pre-configured systems featuring the AWS Trainium2

SystemGPU CountPeak PerformanceTotal Power
AWS EC2 trn2.48xlarge
EC2 Instance · rack · 2024
16x Trainium2 20.8 PFLOPS No verified data available View System
AWS Trn2 UltraServer
UltraServer · rack · 2024
64x Trainium2 83.2 PFLOPS No verified data available View System

Frequently Asked Questions

How many TFLOPS does the AWS Trainium2 have?

The AWS Trainium2 delivers 181 TFLOPS FP32, 667 TFLOPS FP16 and 1,299 TFLOPS FP8 at peak.

What is the power consumption of the AWS Trainium2?

Flopper does not currently have a verified TDP (Thermal Design Power) figure for the AWS Trainium2.

How much memory does the AWS Trainium2 have?

The AWS Trainium2 is equipped with 96 GB of memory with 2,900 GB/s of memory bandwidth.

What architecture is the AWS Trainium2 based on?

The AWS Trainium2 is based on the NeuronCore-v3 architecture, launched in 2024.

Stay Updated on GPU Releases

Get notified when new GPUs are added or specifications are updated.

Loading verification...

No spam, unsubscribe anytime.

Back to GPUs

© 2026 Flopper.io - Compare the GPUs Powering AI