TPU v6e (Trillium)
google · tpu · 32 GB HBM · 200W TDP
VRAM
32 GB
BF16 TFLOPS
460
Bandwidth
1640 GB/s
From
$1.75/hr
Spec Sheet
Pricing by Provider
| Provider | On-Demand | Reserved | Spot | Badge |
|---|---|---|---|---|
| gcp | $2.50/hr | $1.75/hr | - | Cheapest |
Compatible Models (282)
Single GPU (176 models)
Multi-GPU (106 models)
Training Capabilities
Estimated GPU count for full fine-tuning (AdamW, BF16) and QLoRA
| Model Size | Full Fine-Tune | QLoRA |
|---|---|---|
| 7B model | 5 GPUs | 1 GPU |
| 13B model | 8 GPUs | 1 GPU |
| 70B model | 42 GPUs | 2 GPUs |
Energy Efficiency
Estimated tokens/second per Watt for popular models
Similar GPUs
| GPU | VRAM | BF16 TFLOPS | BW (GB/s) | From |
|---|---|---|---|---|
| TPU v4 | 32 GB | 275 | 1200 | $2.25/hr |
| TPU v5e | 16 GB | 200 | 820 | $0.85/hr |
| RTX 5090 | 32 GB | 210 | 1792 | $0.89/hr |
| V100 32GB | 32 GB | 28.3 | 900 | $0.19/hr |
| Instinct MI100 | 32 GB | 184.6 | 1229 | $0.40/hr |
Methodology Note
Performance estimates for the TPU v6e (Trillium)are based on InferenceBench's roofline performance model with CUDA kernel-level optimization including FlashAttention v2 and PagedAttention. Memory calculations account for model weights (32 GB HBM available), KV-cache allocation, and activation memory. Throughput predictions use the TPU v6e (Trillium)'s rated 1640 GB/s memory bandwidth and 460 BF16 TFLOPS compute capacity as roofline ceilings, with empirical correction factors per GPU architecture (tpu). See our full methodology.
Frequently Asked Questions
How many AI models can run on TPU v6e (Trillium)?
The TPU v6e (Trillium) can run 282 AI models from our database within a single node. Compatible models range across various parameter sizes depending on the quantization precision (BF16, FP8, INT4). Smaller models fit on a single GPU while larger models may require multi-GPU setups up to 256x TPU v6e (Trillium).
What is the TPU v6e (Trillium) inference throughput?
The TPU v6e (Trillium) delivers 460 BF16 TFLOPS and 920 FP8 TFLOPS with 1640 GB/s memory bandwidth. Actual inference throughput (tokens/sec) depends on the model size, precision, and batch size. Use our calculator for model-specific throughput estimates.
How much does TPU v6e (Trillium) cost per hour?
The TPU v6e (Trillium) is available starting from $1.75/hour via gcp. Prices vary by provider and pricing tier (on-demand, reserved, spot). Compare pricing across all providers in the table above.