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Featured Product

GigaPod

GigaPod is an Engineered Solution for Dynamic Computing That Maximizes GPU Utilization — Speeding and Simplifying HPC and AI Workloads

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Highlights

Breathtaking Performance

Lowest latency and highest bandwidth

Compelling Economics

Higher resource utilization, less complexity, power, cooling, CAPEX, OPEX

Outstanding Simplicity and Easy Management

Turnkey, easy to deploy, fully tested using robust FabreX topologies

Extreme Flexibility

True disaggregation with dynamic composability

Leadership Efficiency

Strips away conversion and overhead with 100% PCI Express interconnect

No Supply Chain Constraints

Immediate availability and no networking vendor dependencies

The GigaIO GigaPod delivers the industry’s lowest latency and the highest effective bandwidth by integrating compute and GPU acceleration I/O into a single-system dynamic fabric, using standard PCI Express (PCIe) technology.

The GigaIO GigaPod is a flexible solution for heterogeneous compute designed to dynamically accommodate different types of workloads on a single hardware architecture. It is a complete, enduring disaggregated infrastructure solution that facilitates dynamic workflows and is simple to deploy and manage.

By eliminating stranded and underutilized resources, the GigaPod family decreases the Total Cost of Ownership (TCO) of on-prem and hybrid infrastructure. GigaPod delivers the agility of the cloud by dynamically allocating the right resources to a workload at the right time, extending access across a broader set of users.

Workloads run faster, because they are utilizing resources as if they were in one rack-scale server – not multiple constrained server nodes connected by a congested, complex network. All servers, GPU’s and accelerators communicate over one dynamic memory fabric.

For further details on the GigaIO gigapod, please download the PDF below.

GIO_GigaPod_V2-1_Mockup-Thumbnail
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Niraj Mathur

Niraj has over 20 years of industry experience in strategic and product marketing, product management, business development, customer applications and advanced silicon engineering. He has held senior leadership roles and led global, cross-functional teams to support these disciplines. Niraj was instrumental in driving numerous successful networking products at Nortel Networks, Quake Technologies, AppliedMicro, Snowbush, Gennum, Semtech and Rambus. He has defined, developed and supported carrier grade hardware and software for the world’s leading telecom, enterprise and cloud customers. His past projects include Ethernet PHYs, core Internet switches, metro optical routers, high-speed silicon IPs and PCI Express products. Niraj holds a Bachelor of Computer Engineering from McGill University and an MBA from Cornell University.

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