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GigaIO and AMD logo

The GigaIO Family of Engineered Solutions, Powered by AMD

Break Infrastructure Constraints with a Dynamically Configurable Compute Environment

Talk to an expert

A new composable architecture is emerging that promises to break the scalability limits of server hardware. Composability disaggregates FPGA and GPU accelerator resources previously locked in physical servers, enabling the provisioning of workloads with the optimal type and amount of accelerator resources to speed analysis, increase resource utilization, and lower costs.

GigaIO has released a family of purpose-built Engineered Solutions, Powered by AMD, that use composability to solve industry-specific challenges.


GigaIO Engineered Solution for Life Sciences, Powered by AMD

GigaIO Engineered Solution For Life Sciences, Powered By AMD Speed secondary analysis with FPGA and GPU resources tailored to the growing needs of expanding genomics workloads.

Learn More
GigaIO Engineered Solution for Manufacturing, Powered by AMD

GigaIO Engineered Solution For Manufacturing, Powered By AMD Run CAE software with no changes and speed CAE analysis by boosting utilization while lowering costs.

Learn More
AMD Solutions Brief with GigaIO

GigaIO Engineered Solution For Universities, Powered By AMD Centralize, standardize, share, and optimize infrastructure across the varied workloads required by a university — both classroom and research settings.

Learn More

Breakthrough Performance and Compelling Economics

GigaIO’s universal dynamic memory fabric FabreXTM improves accelerator utilization by more than 100% because it disaggregates FPGAs and GPUs from servers into pools of resources available throughout a cluster.

Fabrex Infrastructure Infiniband Infrastructure

The Benefits of Composability

  • Deploy FPGA and GPU resources independently and efficiently to optimize acceleration
  • Achieve lower processing times with GigaIO’s low latency PCIe fabric
  • Boost FPGA and GPU utilization by more than 100%
  • Get cloud-like agility with on-prem economics
  • Avoid “rip-and-replace” by upgrading at the component level instead of entire servers
  • Significantly reduce CAPEX and OPEX
  • Reduce your Total Cost of Ownership (TCO) and Research Cost of Ownership (RCO)
  • Eliminate HPC network complexity with a solution that is easy to deploy and maintain
  • Reduce your time to value 
  • Access immediate availability with no supply chain delay

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Curious to see how it works? Check out this 15-minute demo on how to liberate your compute resources.

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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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