> ## Documentation Index
> Fetch the complete documentation index at: https://docs.silicondata.com/llms.txt
> Use this file to discover all available pages before exploring further.

# SiliconNavigator™ Announcements

> 📌 **Note:** These announcements cover the GPU rental CSV download products — the tier 2 (country-level) and tier 3 (instance-level) files available through the [Silicon Navigator™ API bulk download endpoints](/api-reference/bulk-download).

***

## **Announcement ID 260904-1**

* Announcement Date: 2026-09-04
* Effective Date: 2026-09-20
* Type: Coverage and Schema Change
* Restatement: Yes

## **Summary**

Our GPU rental dataset has been rebuilt, delivering broader provider and hardware coverage, higher data volume, improved data quality, and schema additions. The changes affect the CSV download products only — the tier 2 and tier 3 files.

**Note:** Please be aware that this update applies exclusively to the GPU rental download products, not the retail data.

## **What's Changing**

Affected Products:

* Tier 2 (country-level) Rental CSV files
* Tier 3 (instance-level) Rental CSV files

Restatement: On the effective date, the entire history is restated — every historical file is re-published under the new methodology and schema, so past and future data are fully consistent.

## **Change Details**

### 1. Broader coverage

* Provider coverage grew from a few dozen sources to **well over 70 vetted providers** across hyperscalers, neoclouds, and marketplaces, each admitted through an explicit review process.
* Hardware coverage roughly doubled, from around 60 priced GPU/accelerator products to **well over 100**.

### 2. Data Volume Increases

* Data volume increases substantially, driven mainly by hyperscaler data and the broader provider coverage.

### 3. Data Quality Improvements

Two corrections visibly change category-level volumes:

* Several providers previously classified as marketplaces are now correctly classified as neoclouds.
* Marketplace feeds are deduplicated — the same machine captured multiple times per day now counts once.

Beyond that, every listing passes a uniform pipeline before publication: hardware is verified against official specifications, price arithmetic and rental terms are enforced, and cluster listings are normalized so per-GPU economics stay comparable.

### 4. Schema changes

#### Tier 3 (instance-level data)

All existing columns, names, and their order are unchanged; four new columns are appended at the end:

| New column         | Meaning                                                                                     |
| ------------------ | ------------------------------------------------------------------------------------------- |
| `product_slug`     | stable, canonical hardware identifier (e.g. `n-h100-sxm-80g`)                               |
| `vendor`           | the accelerator's maker                                                                     |
| `accelerator_type` | gpu, asic, or fpga                                                                          |
| `cluster_size`     | machines in a multi-node listing (1 for a single machine); `num_gpus` is always per machine |

#### Tier 2 (country-level data)

| Column                       | Meaning                                                                |
| ---------------------------- | ---------------------------------------------------------------------- |
| `date` (or `month` / `year`) | the period the benchmark covers                                        |
| `product_slug`               | the same canonical hardware identifier as tier 3                       |
| `name`, `manufacturer`       | the product's canonical name and maker                                 |
| `country`                    | ISO country code (plus an `unknown` bucket)                            |
| `type`, `type_description`   | the rental term — formerly named `price_type`                          |
| `price`                      | average hourly per-GPU price (average of daily averages)               |
| `provider_source_type`       | `Hyperscaler`, `Neocloud`, `Marketplace`, or `Average` for the roll-up |
| `product_id`                 | dropped                                                                |
| `chip`                       | dropped                                                                |