1. Fujitsu Research
  2. Fsas Technologies Inc.

Fsas Technologies Inc.

Powering Innovation Through High-Value Hardware Solutions

Fsas Technologies Inc. has been officially launched as a specialized Business Unit under Fujitsu Research of India Pvt. Ltd. (FRIPL) to drive innovation, reliability, and customer-centricity in hardware solutions. This strategic move is aligned with Fujitsu’s global transformation journey under its 2030 Vision and Mid-Term Management Plan to become a net-positive, purpose-driven technology leader.

Core Focus Areas:

Server and Storage Hardware

Fsas leads the end-to-end lifecycle of high-performance infrastructure solutions, including:

  • PRIMERGY PC Servers
  • PRIMEQUEST Mission-Critical IA Servers
  • ETERNUS Storage Systems

Network and Communication Hardware

Development and support for:

  • IPCOM Network Servers
  • Maintenance of select network products from strategic partners
  • Enterprise PC Solutions
  • Direct sales and servicing of enterprise PCs, ensuring continuity and quality for business customers

While Fsas focuses on the product lifecycle of hardware, Fujitsu Limited continues to provide system integration (SI), managed services, and infrastructure services, ensuring a comprehensive, end-to-end digital transformation journey for our customers.

Why FRIPL Fsas?

FRIPL Fsas significantly contributes to the Composable Disaggregated Infrastructure (CDI) solution. Specifically, we develop the Location Abstraction Layer, which hides the physical location details of PCIe or CXL components within resource pools. This abstraction enhances scalability. Furthermore, we create user-friendly Graphical User Interfaces (GUIs) to simplify complex CDI workflows for our customers.

What is PRIMERGY CDI?

  • A next-gen Composable Disaggregated Infrastructure (CDI) built around Fujitsu's PRIMERGY servers, external PCIe boxes (housing GPUs, SSDs, etc.), and high speed fabric interconnects.
  • Resources like GPUs and storage are pooled separately and dynamically shared among servers according to workload demands.

Core Benefits

1. Flexible, on-demand resource allocation

  • Dynamically assemble logical servers with needed resources—like adding more GPUs for AI training, then scaling back for inference ─ reducing waste.
  • With Red Hat OpenShift integration in V1.1, autoscaling monitors workloads and automatically adjusts resource allocation per containerized server.

2. High utilization & efficiency

  • Shared pools ensure resources aren't idle under changing workloads.
  • Consolidated hardware yields better power efficiency and reduced overall consumption.

3. Supercomputer-grade scalability & reliability

  • Inherits advanced technologies from high-performance computing for fault isolation and manageable large-scale deployments.
  • GPU scalability tests (ResNet training using NVIDIA A100) demonstrate near-linear performance up to 10 GPUs (~95% linear) and support up to 20 GPUs.

Ideal Use Cases

  • Private clouds/IaaS: Supports multi-tenant environments with per-tenant autoscaling, aiding in eliminating idle resources.
  • Big Data & AI workloads: Easily reconfigure GPU density per task—e.g., concentrate multiple GPUs for training or allocate individually for inference.
  • Edge AI & green computing: Proven in PoC for telco edge (with Fujitsu, NTT, NVIDIA) enabling real-time inference with high performance and energy efficiency.

Summary of Value

  • Resource Optimization: Maximizes hardware usage by sharing modular resources dynamically.
  • Scalable AI: Supports linear GPU scaling—ideal for workloads from AI training to inference.
  • Automation-Ready: Autoscaling with container orchestration (OpenShift) reduces manual operations.
  • Energy Efficient & Resilient: Delivers power savings plus HPC-level reliability and component redundancy.

Fujitsu's PRIMERGY CDI offers a versatile, efficient, and scalable infrastructure that fits modern demands—from private cloud environments to AI-driven, energy-conscious edge deployments. Its key strengths lie in composable pools, autoscaling orchestration, near-linear GPU performance scaling, and robust reliability.

Meet our leadership

Binoy Thomas

Binoy Thomas

With over 25+ years of global experience, Binoy Thomas is a results-driven engineering leader known for delivering innovation and impact across server, storage, networking, and cloud infrastructure domains. He combines hands-on technical expertise with a strategic leadership mindset, consistently driving ownership, agility, and high performance—even in times of uncertainty. He has successfully led global engineering teams across technologies such as server platforms (Dell, HPE), DAS/SAN storage, Ansible, and Gen AI. He has taken multiple products from concept to market, steering 1.0 software releases and collaborating closely with architects and security teams to design robust, scalable, and secure solutions.

A champion of engineering excellence and agile transformation, Binoy has accelerated delivery cycles through automation, dependency management, and Scrum at Scale practices, enabling monthly releases and sustained quality. As a people-first leader, Binoy is deeply committed to team growth and engagement. He has mentored senior technical leaders and managers, cultivated inclusive and high-performing teams. He actively drives talent development initiatives and fosters a culture of continuous learning and empowerment.

Binoy's global experience—including leadership engagements across Chicago, Ft. Collins, Austin, Shanghai, and Dubai—has shaped his ability to lead diverse, multicultural teams with cultural sensitivity and cross-functional collaboration across Product Management, QA, and DevOps. In past organizations, he was also a recognized voice in leadership forums, presenting on leadership development, self-learning, and speed mentoring at VP-level events. He played a key role in driving org-wide initiatives in Gen AI adoption , predictive analytics for hardware reliability, and talent transformation.

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