Heralding the Dawn of Individualized Genomics

The 2.8 billion contiguous bits of genetic code - the human genome - hold an extraordinary trove of information about human development, physiology, medicine, and evolution.

Already the widely held notion that we have exactly the same genes in the human population is being challenged. The variations revealed in the new genome, dubbed "HuRef," go far beyond previously identified single nucleotide polymorphisms (SNPs), once thought to be the key to differences in human traits and disease susceptibility. New data shows that, in an individual genome, upwards of 44 percent of genes are variable in sequence.

Time's a Wasting!

How does HuRef data influence drug discovery? Will genetic variations allow for tailoring drug efficacy?

Drug discovery and formal FDA processes alone can sometimes take upwards of ten years.

What if your IT infrastructure could be designed to reduce this process time by three years? How many more lives could we save? What is the opportunity cost to a pharmaceutical company’s top-line revenue?

What role does AZ-10GE have to play in reducing the drug discovery timeline by thirty percent? Just ask our customers, or the computer geeks and molecular biologists amongst us.

Boldness in Simplicity

The following results speak for themselves:


AZ-10GE Performance Metrics Across Realistic Traffic Profiles:

1) Predictable and Bounded Application Performance
2) Maximal and Stable Goodput (approaches 10Gbps link capacity)
3) Low, Stable, and Bounded Latency
4) Self-Tuned Performance: Adapts to changes in network topology, add/move, and traffic mix/volume

Goodput = Load-invariant lossless throughput across all traffic profiles



Ordinary 10GE Performance Metrics Across Realistic Traffic Profiles:

1) Unpredictable Application Performance
2) Unpredictable Goodput
3) Unpredictable Latency

Impacting Application Performance Where it Matters: The Top Line

1) What is the opportunity cost of an average downtime trading minute?

2) What is the opportunity cost of a lost trade to the competition?

3) What is at stake? What is the worst case failure scenario?

While engaging a CIO in meaningful conversation on cutting-edge technology at any one of the major Wall Street investment banks, a vendor must necessarily be prepared to propose concise solutions to address these vexing questions.

Do your solutions measure up to the challenge?

1) The cost of an average downtime trading minute could run in the multi-millions of dollars.

2) Investment banks view their IT infrastructure as a competitive weapon. Every millisecond matters when it comes to execution, delivering performance, and maximizing revenue streams.

3) A network-induced application meltdown is any CIO's worst case failure scenario.

As data center applications are distributed and virtualized across clustered compute and storage resource pools, I/O and networking is fast becoming the performance choke point.

Mission-critical applications running on ordinary 10GE switching solutions are getting the short end of the performance stick. Application performance on such networks is at best unpredictable. At its worst, poor performance can lead to a network-induced application meltdown.

What are the core elements to designing a future-proof next generation data center network?