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Availability of Local SSD on Google Cloud Platform

Lets customers attach between 1 and 4 partitions of 375GB, at $0.218/GB/month.

On a blog of Google posted by Kirill Tropin, product manager,is announced the availability of local SSD on Google Cloud Platform.
    
Local SSD has shown fantastic price-performance throughout beta, and today we are excited to announce that it’s now available to Google Compute Engine customers in all regions around the world.

The Local SSD feature lets customers attach between 1 and 4 SSD partitions of 375GB to any full core VM and have dedicated use of those partitions. And, it provides an extremely high number of IO/s (680k random 4K read IO/s). Unlike Persistent Disk, Local SSD doesn’t have redundancy. This is ideal for highly demanding applications that provide their own replication (such as many modern databases and Hadoop), as well as for scratch space for intense computational applications. Local SSD is also a great supplement for memory due to high IO/s and low price per GB.

Local SSD is competitively priced at $0.218/GB/month. For those used to buying Local SSD attached to VMs, this comes to $0.0003/GB/hour. If re-calculated as price per-IO/s, it comes to the extremely low price of $0.00048/read-IO/s/month.

We’ve had a fantastic response to the beta of Local SSD. For example, Cloud Harmony has shown that Google Compute Engine Local SSD achieves the highest number of 4K random IO/s across all of the VM-storage combinations tested. And it’s even better if normalized for price.

In addition, we’ve already received positive feedback from our customers. Aerospikewww.aerospike.com achieved RAM-like performance and 15x cost advantage with the use of Local SSD as a supplement for RAM on their NoSQL database. And Gyazo.com is using Local SSD as a supplement for RAM for MongoDB, which works out perfectly due to low price and high performance of Local SSD.

Isshu Rakusai, Gyazo.com, said: “Local SSD on Google Compute Engine is very fast. It has allowed us to decrease our RAM usage, and made us more cost efficient.

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