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Original file line number Diff line number Diff line change
Expand Up @@ -322,7 +322,7 @@ together endpoints hardware --model Qwen/Qwen3.5-9B-FP8 --json
{
"object": "hardware",
"id": "1x_nvidia_h100_80gb_sxm",
"pricing": { "cents_per_minute": 6.0 },
"pricing": { "cents_per_minute": 10.82 },
"specs": {
"gpu_type": "h100",
"gpu_link": "sxm",
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57 changes: 40 additions & 17 deletions skills/together-dedicated-endpoints/references/hardware-options.md
Original file line number Diff line number Diff line change
Expand Up @@ -20,13 +20,16 @@ Example: `2x_nvidia_h100_80gb_sxm`

## GPU Types

Currently offered hardware families:

| GPU | Memory | Notes |
|-----|--------|-------|
| H100 SXM | 80GB | Highest performance, recommended for production |
| A100 SXM | 80GB | Good balance of cost and performance |
| A100 PCIe | 80GB | Cost-effective option |
| L40 | 48GB | Mid-range option |
| RTX-6000 | 24GB | Entry-level for smaller models |
| H100 SXM | 80GB | Production workhorse, broad model coverage |
| H200 SXM | 140GB | Larger HBM than H100 for memory-bound workloads |
| B200 SXM | 180GB | Highest performance, largest single-GPU memory |

A100, L40, L40S, and RTX 6000 are no longer offered for new dedicated endpoints. The `/v1/hardware`
endpoint may still return deprecated SKUs; treat only H100, H200, and B200 as deployable.

Hardware availability varies by region and demand. Use the API or CLI to get current options:

Expand All @@ -53,10 +56,11 @@ together endpoints hardware --model Qwen/Qwen3.5-9B-FP8 --available
| `2x_nvidia_h100_80gb_sxm` | H100 | 2 | Medium models (7-20B) |
| `4x_nvidia_h100_80gb_sxm` | H100 | 4 | Large models (70B) |
| `8x_nvidia_h100_80gb_sxm` | H100 | 8 | Very large models (120B+, MoE) |
| `1x_nvidia_a100_80gb_sxm` | A100 | 1 | Small models, cost-effective |
| `2x_nvidia_a100_80gb_sxm` | A100 | 2 | Medium models, cost-effective |
| `4x_nvidia_a100_80gb_sxm` | A100 | 4 | Large models, cost-effective |
| `8x_nvidia_a100_80gb_sxm` | A100 | 8 | Very large models, cost-effective |
| `1x_nvidia_h200_140gb_sxm` | H200 | 1 | Memory-bound small/medium models |
| `4x_nvidia_h200_140gb_sxm` | H200 | 4 | Large models with bigger KV cache |
| `8x_nvidia_h200_140gb_sxm` | H200 | 8 | Very large or long-context models |
| `1x_nvidia_b200_180gb_sxm` | B200 | 1 | Highest single-GPU performance |
| `8x_nvidia_b200_180gb_sxm` | B200 | 8 | Maximum throughput / largest models |

## Hardware Availability Status

Expand All @@ -72,7 +76,7 @@ together endpoints hardware --model Qwen/Qwen3.5-9B-FP8 --available
{
"object": "hardware",
"id": "1x_nvidia_h100_80gb_sxm",
"pricing": { "cents_per_minute": 6.0 },
"pricing": { "cents_per_minute": 10.82 },
"specs": {
"gpu_type": "h100",
"gpu_link": "sxm",
Expand All @@ -91,17 +95,36 @@ together endpoints hardware --model Qwen/Qwen3.5-9B-FP8 --available
- **Stop endpoint** to pause charges
- Price varies by hardware configuration (check `cents_per_minute`)

### Single-GPU on-demand rates

Reference prices for the currently-offered single-GPU SKUs (multiply by GPU count for multi-GPU
configurations of the same family; for the authoritative live rates always call the API or CLI):

| Hardware ID | Cost/hour |
|-------------|-----------|
| `1x_nvidia_h100_80gb_sxm` | $6.49 |
| `1x_nvidia_h200_140gb_sxm` | $7.89 |
| `1x_nvidia_b200_180gb_sxm` | $11.95 |

Multi-GPU hardware IDs share the single-GPU suffix, e.g. four H100s use `4x_nvidia_h100_80gb_sxm`.
Cost scales linearly with the GPU count.

Each running replica bills independently and stops billing as soon as it is scaled down. Run
`together endpoints hardware --model <MODEL_ID>` (or `tg endpoints hardware --model <MODEL_ID>`)
for the per-model list with current per-minute rates.

## GPU Selection Guide

| Need | Recommendation |
|------|---------------|
| Small models (up to 9B) | 1x H100 or 1x A100 |
| Medium models (7-20B) | 1-2x H100/A100 |
| Large models (70B) | 4-8x H100/A100 |
| Very large / MoE models (120B+) | 8x H100 |
| Maximum throughput | 8x H100 + multiple replicas |
| Cost-effective | A100 (lower per-minute cost) |
| Maximum performance | H100 (faster inference) |
| Small models (up to 9B) | 1x H100 |
| Medium models (7-20B) | 1-2x H100 |
| Large models (70B) | 4-8x H100 or 4x H200 |
| Very large / MoE models (120B+) | 8x H100, 8x H200, or 8x B200 |
| Maximum throughput | 8x B200 + multiple replicas |
| Cost-effective baseline | H100 (lowest per-hour rate of currently-offered SKUs) |
| Long-context / memory-bound | H200 or B200 (larger HBM) |
| Maximum performance | B200 (newest generation, highest single-GPU speed) |

Fine-tuned and custom-uploaded models may require larger hardware than their base parameter count
suggests. For example, a fine-tuned 8B model may only be eligible for 4x or 8x H100 configs.
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