AI chip · Amazon
AWS Trainium 2
Second-generation Trainium announced re:Invent 2023; 4x training performance of Trn1. Backbone of the Anthropic Project Rainier deal.
Deployed in 3 named data centers · Part of 1 rack design.
Market position
AWS's flagship training silicon of 2025. Anthropic's Project Rainier (hundreds of thousands of Trainium 2 chips) is the anchor customer. Priced explicitly against H100/H200 on training-cost-per-token; NeuronLink UltraServers of 64 chips sit against NVL72. Trainium 3 is the announced successor.
Efficiency and power
How much work you get per watt and per dollar, and how much power a full rack draws.
- Perf per watt
- 2.60 FP8 TFLOPS/W1,300 TFLOPS ÷ 500 W = 2.60
- Cooling
- waterDepends on the rack design
What fits in 96 GB
Which open-source LLMs run on one AWS Trainium 2, by precision. Weights only: add roughly 15% headroom for real serving. If a model does not fit at FP16, try INT8 or INT4 (smaller quality trade-off than most people expect).
| Model | Params | FP16 | INT8 | INT4 |
|---|---|---|---|---|
| Llama 3.1 8B dense | 8 B | 16 GB ✓ | 8 GB ✓ | 4 GB ✓ |
| Llama 3.1 70B dense | 70 B | 140 GB ✗ | 70 GB ✓ | 35 GB ✓ |
| Llama 3.1 405B dense | 405 B | 810 GB ✗ | 405 GB ✗ | 203 GB ✗ |
| Llama 3.3 70B dense | 70 B | 140 GB ✗ | 70 GB ✓ | 35 GB ✓ |
| DeepSeek V3 MoE (671B total, 37B active per token) | 671 B | 1342 GB ✗ | 671 GB ✗ | 336 GB ✗ |
| DeepSeek R1 MoE (671B total, 37B active per token) | 671 B | 1342 GB ✗ | 671 GB ✗ | 336 GB ✗ |
| Qwen 2.5 7B dense | 7 B | 14 GB ✓ | 7 GB ✓ | 4 GB ✓ |
| Qwen 2.5 72B dense | 72 B | 144 GB ✗ | 72 GB ✓ | 36 GB ✓ |
| Mixtral 8x7B MoE (46.7B total, 12.9B active per token) | 46.7 B | 93 GB ✓ | 47 GB ✓ | 23 GB ✓ |
| Mixtral 8x22B MoE (141B total, 39B active per token) | 141 B | 282 GB ✗ | 141 GB ✗ | 71 GB ✓ |
| Gemma 2 27B dense | 27 B | 54 GB ✓ | 27 GB ✓ | 14 GB ✓ |
| Command R+ dense | 104 B | 208 GB ✗ | 104 GB ✗ | 52 GB ✓ |
| Kimi K2 MoE (1T total, 32B active per token) | 1000 B | 2000 GB ✗ | 1000 GB ✗ | 500 GB ✗ |
Math: FP16 = params × 2 bytes; INT8 = params × 1 byte; INT4 = params × 0.5 bytes. MoE models sum every expert (full weights on disk), not the per-token active subset.
Common questions
How much does AWS Trainium 2 cost?
AWS Trainium 2 doesn't have a public launch list price. Vendors like this one usually price through direct sales rather than a public sheet. See list price per TFLOP for chips that do publish.
How much memory does AWS Trainium 2 have?
96 GB of HBM3, running at 2,900 GB/s. Straight from the vendor datasheet. See chips with the most memory for context.
How much power does one AWS Trainium 2 draw?
500 W at the chip. A full server draws more once you add CPU, memory, networking and cooling: see the rack power number above. Compare to other chips on perf-per-watt.
Which data centers use AWS Trainium 2?
3 named data centers run them, including Amazon 'Bridgefield' GWU Ashburn Campus, Amazon Project Rainier and AWS Susquehanna (Cumulus) Nuclear-Coupled. See who has the most AWS Trainium 2 for the ranked list.
Which open-source LLMs fit on one AWS Trainium 2?
Of 13 open-source LLMs we track, 4 fit at FP16, 7 at INT8, and 9 at INT4 (for example Llama 3.1 8B, Llama 3.1 70B and Llama 3.3 70B). Full table above with each model's memory need.
Key facts
- Class
- Compute SoC (AI accelerator)
- Designer
- Amazon
- Safety-critical?
- No (data-center inference / training)
- Record as of
- 2026-09-27
- Most recent source
- 2024-12-03 (across 4 sources on this page)
Specifications (10 fields, click to expand)
Straight from the vendor datasheet. Dense throughput shown first; sparse (2:4) numbers in parentheses where the vendor publishes them. Full datasheet linked below.
- Process node
- TSMC N5
- TDP
- 500 W
- Memory
- 96 GB HBM3
- Memory bandwidth
- 2,900 GB/s
- BF16 (dense)
- 667 TFLOPS
- FP8 (dense)
- 1,300 TFLOPS
- INT8 (dense)
- 1,300 TOPS
- Form factor
- AWS Neuron 2 (Trn2 UltraServer with 64 chips per unit)
- Announced
- 2024-12-03
- Released
- 2025-01-01
Source: vendor datasheet
Generation
Foundry & process
- Fabbed at
- TSMC (all chips TSMC makes →)
- Process node
- TSMC N5
Rack designs that use it
Whole-rack systems buyers order in bulk (NVL72, HGX, TPU pods) that ship with AWS Trainium 2 inside.
- ×64AWS Trainium 2 UltraServerultraserver
Compare with
Benchmarks
Published performance numbers by workload. Vendor datasheet figures where noted; independent measurements otherwise.
| Workload | Value | Unit | Source | As of |
|---|---|---|---|---|
| peak tflops fp8 | 1300 | TFLOPS | vendor | 2023-11-28 |
Data centers running AWS Trainium 2
Who has the most? →Named data-center campuses with AWS Trainium 2 on site. Counts shown where the operator has published them; other rows are described in general terms.
- Amazon 'Bridgefield' GWU Ashburn Campusas of 2024-12-03announcedinferred
AWS Trainium 2 capacity across the Ashburn / GWU Bridgefield campus
AWS deploys Trainium 2 across its US-East-1 flagship region; per-campus counts not published.
- Amazon Project Rainier Data Center (New Carlisle)as of 2024-12-03partially energizedreported
Anthropic's compute (Project Rainier): hundreds of thousands of Trainium 2 chips
- AWS Susquehanna (Cumulus) Nuclear-Coupled Data Center Campusas of 2024-11-01partially energizedreported
Anthropic Project Rainier training cluster — Trainium 2 at scale (960 MW envelope)
Sources
Adoption rows appear as we confirm each chip-in-robot pairing from a public source. See every chip we track for the full catalog or the Amazon page.