Tachyum Submits Bid for 20-Exaflop Supercomputer to US Department of Energy Advanced Computing Ecosystems
Tachyum announced that it has responded to a U.S. Department of Energy Request for Information soliciting Advanced Computing Ecosystems for DOE national laboratories engaged in scientific and national security research. Tachyum has submitted a proposal to create a 20-exaflop supercomputer based on Tachyum’s Prodigy, the world’s first universal processor.
Latest Aithority Insights: AiThority.com to Attend The Character of AI – A Technology Ethics Conference (Virtual)
The DOE’s request calls for computing systems that are five to 10 times faster than those currently available and/or that can perform more complex applications in “data science, artificial intelligence, edge deployments at facilities, and science ecosystem problems, in addition to the traditional modeling and simulation applications.”
The DOE request prefers systems that “operate within a power envelope of 20-60 MW.” Tachyum’s submission would meet these challenging requirements.
The DOE is interested in deploying this system as soon as 2025.
In its bid, Tachyum introduced its advanced universal processor technology and long-term roadmap that includes Prodigy, and Prodigy 2. The first-generation Prodigy supercomputer processor chip offers 4x the performance of the fastest Xeon, 3x more raw performance than NVIDIA’s H100 on HPC, 6x more raw performance on AI training and inference workloads, and up to 10x performance at the same power.
“Tachyum’s revolutionary design could deliver strategic superiority to the United States and its Department of Energy’s NNSA. In addition, it will provide high performance, low TCO, low energy consumption, ease of deployment and low maintenance,” said Dr. Radoslav Danilak, founder and CEO of Tachyum. “The DOE should be particularly interested in the carbon footprint reduction, as both a matter of environmental stewardship and national security.”
AI and ML News: AI: Continuing the Chase for Brain-Level Efficiency
Tachyum’s Prodigy integrates 128 high-performance custom designed 64-bit compute cores with the functionality of a CPU, a GPU, and a TPU in a single device within a homogeneous architecture. This allows Prodigy to deliver performance up to 4x that of the highest performing x86 processors (for cloud workloads) and up to 3x that of the highest performing GPU for HPC and 6x for AI applications.
Prodigy’s unique architecture delivers industry-leading performance in both data center and AI workloads. Therefore, during off peak hours, Prodigy-powered data center servers can be seamlessly and dynamically switched to AI workloads, eliminating the need for expensive dedicated AI hardware, and dramatically increasing server utilization. Prodigy delivers unprecedented data center performance, power, and economics, reducing CAPEX and OPEX significantly.
AI ML in Marketing: AI and Big Data Analysis Used to Find Brands’ Emotional Connection
[To share your insights with us, please write to email@example.com]