Some of our remarkable customers
Yet Without Any Performance Penalty
Find Out How Much You Can Save With GigaIO
Improve GPU utilization by more than 100%
A typical customer problem we solve:
You just spent $400K on a rack of servers with some expensive GPUs to solve your computational problem. You don’t know it yet, but your GPUs are mostly sitting idle, even with your finely tuned models and lots of developer time in optimization. GigaIO solves this problem with FabreX, the highest performance, lowest latency rack-scale network on the planet. In one side by side test for a customer, a rack built with FabreX, ran the same customer weekly workload with 16 GPUs instead of the 32 initially deployed. The result is a system that costs 30% less to purchase, and to operate, and saves 5kW of energy as a bonus.
Why Pay More and Get Less?
Actual Case Study: 8 workgroups, using GPUs, 150 mixed jobs per week.
Other Benefits of Composable Infrastructure:
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Latest News
This portable AI supercomputer in a carry-on suitcase: 4 x GPUs, 246TB storage, 2500W PSU
05.13.2024Note: This article originally appeared on tweaktown.com, click here to read the original piece. GigaIO and SourceCode announce the launch
Read MorePortable AI supercomputer comes as a carry-on suitcase with wheels — four GPUs, 246TB of storage, and a 2,500W integrated power supply
05.11.2024Note: This article originally appeared on tomshardware.com, click here to read the original piece. All passengers, please ensure your carry-on
Read MoreGigaIO debuts mini supercomputer on wheels for the edge
05.07.2024Gryf roll-along case Note: This article originally appeared on blocksandfiles.com, click here to read the original piece. By Chris Mellor
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