Tachyum
announced it has completed testing and validation of its Prodigy
Universal Processor with Kubernetes for hyperscale, high-performance
container management. The success of Kubernetes on Prodigy assures
Tachyum customers and partners of quick, easy, out-of-the-box testing
and evaluation in containerized environments.
Tachyum's software team deployed its Prodigy emulation with K3s server, a lightweight Kubernetes distribution ideal for testing; two agents; and NGINX,
an open-source reverse proxy server for HTTP, HTTPS, SMTP, POP3, and
IMAP protocols, as well as a load balancer, HTTP cache, and a web
server.
"Demonstrating that Kubernetes can run natively on Prodigy is essential
to customers and partners, such as those using Kubernetes behind
performance-sensitive containerized applications," said Radoslav
Danilak, founder and CEO of Tachyum. "Tachyum's growing software
ecosystem is addressing the needs of an increasingly wide range of data
center, hyperscale, and high-performance workloads that will benefit
from Prodigy today and tomorrow."
Clustering, management and job scheduling in containerized environments
can be difficult at scale. Prodigy-based data centers will find
increased ease and performance in automating deployment, scaling, and
management of Kubernetes clusters, which can span across hosts
on-premise, public, private, or hybrid clouds, scaling from one compute
node up to massive deployments.
A video demonstrating KUBERNETES on Prodigy is available at https://youtu.be/FKng63GbIVY.
Prodigy delivers unprecedented data center performance, power, and
economics, reducing CAPEX and OPEX significantly. Because of its utility
for both high-performance and line-of-business applications,
Prodigy-powered data center servers can seamlessly and dynamically
switch between workloads, eliminating the need for expensive dedicated
AI hardware and dramatically increasing server utilization. Tachyum's
Prodigy integrates 128 high-performance custom-designed 64-bit compute
cores, to deliver up to 4x the performance of the highest-performing x86
processors for cloud workloads, up to 3x that of the highest performing
GPU for HPC, and 6x for AI applications.