AWS

AWS Trn2 UltraServer

rack
64× Trainium2
NeuronLink-v3 at 1,024 GB/s per chip within each instance and 256 GB/s per chip between instances; EFAv3 networking at 3,200 Gbps
2024
FP32
11.6
PFLOPS
TF32
42.8
PFLOPS
Power
kW Total
Memory
6291
GB Total

The Trn2 UltraServer joins four trn2u.48xlarge instances into a single 64-chip Trainium2 machine, connected by NeuronLink-v3 at 1,024 GB/s per chip within an instance and 256 GB/s per chip between them. It carries 6,144 GiB of device memory at 185.6 TB/s, 768 vCPUs and 8 TB of host memory. AWS rates it at 83.2 PFLOPS of dense FP8, 42.8 PFLOPS across dense FP16, BF16 and TF32, and 11.6 PFLOPS of dense FP32, with a separate sparse figure of 164 PFLOPS covering FP8, FP16, BF16 and TF32 but not FP32. The sparse figure exceeds the dense FP8 one, so the two must not be conflated: dense FP16 is 42.8 PFLOPS, not 164. AWS's sparse mode runs at the chip's low-precision rate regardless of input format, making the sparse figure 1.97x dense FP8 but 3.84x dense BF16, so it is not 2:4 structured sparsity. Every figure here is AWS's own published aggregate and each one reconciles exactly against the Trainium2 chip specification. AWS publishes no power figure for the UltraServer or the chip.

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FP32
11.60
PFLOPS
TF32
42.80
PFLOPS
FP16
42.80
PFLOPS
BF16
42.80
PFLOPS

System Details

GPU Configuration

GPU Model: AWS Trainium2
GPU Count: 64 GPUs
Architecture: NeuronCore-v3
Interconnect: NeuronLink-v3 at 1,024 GB/s per chip within each instance and 256 GB/s per chip between instances; EFAv3 networking at 3,200 Gbps

System Specifications

Form Factor: rack
Total Power:
Total Memory: 6291 GB
Memory Bandwidth: 185600 GB/s

Precision Performance Breakdown

PrecisionSystem PerformancePer GPUEfficiency
11.600 PFLOPS 181.3 TFLOPS
42.800 PFLOPS 668.8 TFLOPS
42.800 PFLOPS 668.8 TFLOPS
42.800 PFLOPS 668.8 TFLOPS
83.200 PFLOPS 1300.0 TFLOPS

All figures are dense. Vendors commonly headline the number, which is twice the dense one.

Powered by AWS Trainium2

This system utilizes 64 × AWS Trainium2 GPUs, each delivering exceptional performance for AI and HPC workloads.

Per GPU TDP

Per GPU Memory

96 GB

Process Node

Architecture

NeuronCore-v3

Documentation & Resources

Official Datasheet

AWS Trn2 UltraServer technical specifications

Download PDF

Trainium2 Architecture (AWS Neuron Documentation)

AWS • Latest version

View Document ↗

Typical Use Cases

AI/ML Training
High-Performance Computing
Data Analytics

The AWS Trn2 UltraServer runs 64× Trainium2 GPUs over NeuronLink-v3 at 1,024 GB/s per chip within each instance and 256 GB/s per chip between instances; EFAv3 networking at 3,200 Gbps, delivering 83.2 PFLOPS FP8 dense.