Cray/Media:      Steve Conway, 612/683-7133
Cray/Financial:  Brad Allen, 612/683-7395

UNIVERSITY OF TEXAS ORDERS CRAY RESEARCH
SUPERCOMPUTER

First U.S. University to Acquire Cray Supercomputer
For Undergraduate Chemistry Education

EAGAN, Minn., Dec. 22, 1994 -- The Department of Chemistry
and Biochemistry of the University of Texas (UT), Austin, has
ordered a CRAY EL94 system, making it the first U.S. university
to acquire a Cray supercomputer dedicated to undergraduate
chemistry curriculum, Cray Research, Inc. (NYSE:CYR) announced
today.  The system was installed earlier this year at the new
Chemistry Computing Center at UT and is the second Cray
supercomputer on the Austin campus.

"The new Cray Research supercomputer primarily will be used
to augment classroom instruction in the upper level
undergraduate and graduate programs in our chemistry
department," said Dr. Robert E. Wyatt, professor of chemistry
and chair of the departmental computer committee (a
committee of five faculty members that plans computer
developments for the department).  "It will create new
opportunities to introduce students to chemistry software that
will enable them to study both molecular structure and
interactions between molecules -- two techniques that many
of them will later use as professional chemists."

"We are pleased that the U of Texas will educate future
chemists using our technology," said Robert Ewald, Cray
Research president and chief operating officer.  "Our compact
supercomputers are powerful, affordable solutions for smaller
enterprises, including departments within larger universities."

Approximately 300 students at UT will use the system each
semester, including 200 students in the undergraduate physical
chemistry courses.

Since entering the market for low-cost, compact
supercomputers three years ago, Cray Research has sold more
than 70 of these systems to universities, more than half to
new-to-Cray university customers.

Cray Research provides the leading supercomputing tools and
services to help solve customers' most challenging problems.

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