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AWS Trainium3 vs NVIDIA Groq 3 LPU

The Trainium3 delivers 2.1x the FP8 throughput of the Groq 3 LPU (2,517 vs 1,200 TFLOPS dense).

Trainium3: NeuronCore-v4, 2025 Groq 3 LPU: Groq LPU, 2026
FP8 dense lead
2.1x
Trainium3: 2,517 vs 1,200 TFLOPS
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AWS Trainium3 vs NVIDIA Groq 3 LPU

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AWS Trainium3

Leads on FP8 Full specs →

What is the AWS Trainium3?

The Trainium3 is an ASIC from AWS on the NeuronCore-v4 architecture, an accelerator built for AI workloads. Trainium3 full specifications →

Can I rent the Trainium3 in the cloud?

Flopper is not tracking any live rental listings for the Trainium3 yet. The provider directory lists the clouds that rent comparable accelerators on demand. GPU cloud providers →

How does the Trainium3 compare with other accelerators?

This page sets the Trainium3 against the Groq 3 LPU. The Trainium3 is the older generation of the two. This is a cross-vendor matchup, AWS against NVIDIA. The compare tool builds the same comparison for any two parts in the catalogue. All GPU comparisons →

Where do the Trainium3 figures come from?

Every Trainium3 figure on this page traces to AWS's own datasheet or specification table. How Flopper verifies specifications →

NVIDIA Groq 3 LPU

Full specs →

What is the NVIDIA Groq 3 LPU?

The Groq 3 LPU is an LPU from NVIDIA on the Groq LPU architecture, an accelerator built for language-model inference. Groq 3 LPU full specifications →

Can I rent the Groq 3 LPU in the cloud?

Flopper is not tracking any live rental listings for the Groq 3 LPU yet. The provider directory lists the clouds that rent comparable accelerators on demand. GPU cloud providers →

How does the Groq 3 LPU compare with other accelerators?

This page sets the Groq 3 LPU against the Trainium3. The Groq 3 LPU is the newer generation of the two. This is a cross-vendor matchup, NVIDIA against AWS. Flopper also compares it head to head with the GroqChip 1, across every published precision, memory and power. Groq 3 LPU vs GroqChip 1 →

Where do the Groq 3 LPU figures come from?

Every Groq 3 LPU figure on this page traces to NVIDIA's own datasheet or specification table. How Flopper verifies specifications →

Specifications

AWS logo
Trainium3
Groq 3 LPU
Architecture
NeuronCore-v4Groq LPU
Launch Year
20252026
Form Factor
——
Memory
144 GB—
Memory Bandwidth
4.9 TB/s—
TDP
——
Process Node
3nm—

Performance (TFLOPS)

AWS logo
Trainium3
Groq 3 LPU
No verified data available No verified data available
183 TFLOPS No verified data available
671 TFLOPS
2,517 TFLOPS sparse
No verified data available
671 TFLOPS
2,517 TFLOPS sparse
No verified data available
671 TFLOPS
2,517 TFLOPS sparse
No verified data available
2,517 TFLOPS
sparse not published
1,200 TFLOPS
FP6
No verified data available No verified data available
2,517 TFLOPS
sparse not published
No verified data available
No verified data available No verified data available

Figures are dense. Where a vendor publishes a figure it sits under the dense one and never decides a winner. Hover any precision for its definition, or read the GPU glossary.

FLOPS by Precision

What actually differs

The Groq 3 LPU is the newer part: Groq LPU (2026) against the Trainium3's NeuronCore-v4 (2025).

Weight the FP8 and FP16 rows for LLM work and the FP64 row for HPC.

New to the terms? The glossary explains FP32, TF32, BF16, FP16, FP8, FP4, Sparsity and TFLOPS. For how the generations relate, see NVIDIA architectures explained.

Frequently asked questions

Is the Trainium3 faster than the Groq 3 LPU?

At FP8 precision the Trainium3 reaches 2,517 TFLOPS dense against 1,200 TFLOPS for the Groq 3 LPU. The performance table on this page lists every published precision for both GPUs.

Which should you choose, the Trainium3 or the Groq 3 LPU?

Choose the Trainium3 for training and high-throughput inference: it has 2.1x the FP8 throughput of the Groq 3 LPU.

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