Feeds

Overhyped ThinkPad memory deal

IBM makes a lot out of little

  • alert
  • submit to reddit

IBM is making the most of the memory price crash by doubling up the SDRAM on some ThinkPad models and pretending the deal is a once in a life time opportunity.

The special offer is running for just one week and ends on 16 July - so if you rush you can get a 700MHz Celeron ThinkPad I Series with 128MB SDRAM (up from 64MB) and a 10GB hard drive for £958. Or a 750MHz PIII model with 128MB SDRAM (up from 64MB) and 20GB hard drive for £1,227. Both prices include VAT and delivery.

The breathless IBM advert states: Buy Now. Double your memory at no extra cost. Which is pretty close to the truth. A 64MB SDRAM module for either model costs around £24 - less than two per cent of the total price of the PIII machine. This is better than a poke in the eye with a blunt stick, but not the deal of the century.

If you buy online you get an extra five per cent off.

Maybe IBM expects memory prices to rise shortly, which might explain the small window of opportunity for its incredible deal. ®

Related Stories

DRAM nosedive continues

Whitepapers

Choosing cloud Backup services
Demystify how you can address your data protection needs in your small- to medium-sized business and select the best online backup service to meet your needs.
A strategic approach to identity relationship management
ForgeRock commissioned Forrester to evaluate companies’ IAM practices and requirements when it comes to customer-facing scenarios versus employee-facing ones.
Reg Reader Research: SaaS based Email and Office Productivity Tools
Read this Reg reader report which provides advice and guidance for SMBs towards the use of SaaS based email and Office productivity tools.
Beginner's guide to SSL certificates
De-mystify the technology involved and give you the information you need to make the best decision when considering your online security options.
New hybrid storage solutions
Tackling data challenges through emerging hybrid storage solutions that enable optimum database performance whilst managing costs and increasingly large data stores.