S

SN655 NVMe SSD

Hardware

by Sandisk

PCIe Gen4 read-intensive enterprise NVMe SSD, 3.84TB to 61.44TB, that Sandisk lists as best for scale-out environments such as object storage and deep learning.

Find alternatives to SN655 NVMe SSD

What it does

• Memory

Used for

• AI compute hardware

Sources

Pricing

Not found · 24 Oct 2026

The page shows no price; it offers 'Business Pricing' and 'Buy Direct from Sandisk' with no figure.

Description

Official documentation · 24 Oct 2026

Comparison page (sandisk.com/solutions/enterprise-ssds): "SANDISK SN655 NVMe SSD Best for read-intensive, scale-out environments like object storage and deep learning."

What it does

Official documentation · 24 Oct 2026

Comparison page (sandisk.com/solutions/enterprise-ssds): "SANDISK SN655 NVMe SSD Best for read-intensive, scale-out environments like object storage and deep learning."

Used for

Official documentation · 24 Oct 2026

Comparison page (sandisk.com/solutions/enterprise-ssds): "SANDISK SN655 NVMe SSD Best for read-intensive, scale-out environments like object storage and deep learning."

Sold within

Not found · 24 Oct 2026

The page offers 'Sales Inquiry', 'Find a Reseller', 'Business Pricing' and 'Buy Direct from Sandisk' and states no standalone rate card or reseller list.

Name

Official documentation · 24 Oct 2026

Name as published on the product page.

URL

Official documentation · 24 Oct 2026

Product page, read 2026-10-24.

Deployment

Official documentation · 24 Oct 2026

Hardware drive installed in the buyer's own servers; the product page states no hosted service.

Intended for

Self-reported · 24 Oct 2026

Sold to data-centre, cloud and enterprise buyers per the page.

Also from Sandisk

• SN861 NVMe SSD Hardware

  PCIe Gen5 enterprise NVMe SSD in U.2, E1.S and E3.S form factors up to 15.36TB that Sandisk positions for AI and machine-learning, HPC and mixed workloads.

• SN670 NVMe SSD Hardware

  PCIe Gen5 UltraQLC enterprise NVMe SSD of 30.72TB to 122.88TB that Sandisk optimizes for the data-ingest, preparation and content-generation stages of the AI data lifecycle.

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