AI infrastructure / system to rack
GPU infrastructure, integrated from system to rack.
TORmem brings compute, memory, networking, storage, and cooling into a deployment designed for your workload and data center.
Compute
Fabric
Memory
Integrated with storage and cooling
L10 systems / L11 racks
Designed together for AI training, inference, and high-performance workloads.
From site brief to deployed rack.
The path covers AI-ready site development with power and engineering partners, system configuration, validation, and delivery.
- 01 / DEFINE
Site and workload
Set the workload, capacity, power, cooling, location, and target date.
- 02 / CONFIGURE
System architecture
Specify compute, memory, fabric, storage, and rack-level design as one system.
- 03 / VALIDATE
Integration
Bring components together and validate system compatibility and performance.
- 04 / DEPLOY
Delivery to the data center
Coordinate L10 server or L11 rack deployment with site and supply-chain partners.
Memory-Centric Architecture
TORmem’s memory-centric architecture enables scalable memory expansion and memory disaggregation for AI inference, LLMs, and high-performance data workloads.
By decoupling memory from physical processing nodes over specialized networking fabric, we eliminate memory stranding, expand dynamic pool resources, and unlock extreme performance metrics for high-density compute tasks.
KEY TECHNOLOGIES
- Memory disaggregation
- Shared memory pools
- CPU GPU server memory expansion
- RDMA over Ethernet (RoCE)
- Memory Fabric Manager
- Scalable AI memory infrastructure
- High-performance low-latency architecture
ARCHITECTURE SNAPSHOT
Capacity is decoupled from individual processing nodes.
High-speed fabric connects compute nodes to memory resources.
Software coordinates memory allocation across the pool.
Experience Across Silicon, Systems, and Data Centers
TORmem combines decades of experience in semiconductor design, hyperscale infrastructure, Open Compute deployments, AI systems engineering, and global data center operations.
The leadership team has supported the deployment of millions of servers across enterprise and hyperscale environments worldwide. Today, TORmem focuses that experience on GPU infrastructure, AI clusters, and rack-scale systems for enterprise and cloud deployments.
VLSI Design & Hardware
Decades of semiconductor history working on silicon architecture, VLSI layout design, applications logic, and foundational hardware engineering.
Open Compute Deployments
Active contribution to Open Compute Project standards, designing system chassis, and scaling out compute architectures to millions of active nodes.
Global Data Centers
In-depth experience managing interconnected global cloud nodes, fiber trunks, physical data center footprint, and edge deployments.
Global Infrastructure
Systems engineering focused on AI clustering, turnkey validation, thermal efficiency, and scaling large language model infrastructure layouts.
Built with industry-leading silicon
TORmem systems integrate best-in-class compute, networking, and storage components into memory-centric AI infrastructure.
Manufacturing & Supply Chain
TORmem collaborates with leading Tier-1 ODM and manufacturing ecosystem partners to support scalable production, rack integration, supply chain readiness, and global deployment.
DEPLOYMENT READINESS
One deployment scope across GPU compute, memory, networking, cooling, and L11 rack integration.
Why TORmem
Integrated Delivery
Compute, memory, networking, storage, cooling, and racks planned as one system.
System-Level Design
Architecture decisions evaluated across the cluster instead of as isolated components.
Scalable Memory
Patented memory disaggregation architecture over lossless fabric.
Operator Experience
Leadership experience spanning silicon, Open Compute, hyperscale systems, and data centers.
Infrastructure Designed as One System
AI clusters depend on compute, memory, fabric, storage, power, cooling, and rack design working together. TORmem brings those layers into a deployment architecture built for the data center.
Build and Deploy Your AI Infrastructure with TORmem
Talk with TORmem about your GPU platform, workload, cluster scale, memory, network fabric, cooling, rack integration, and data center requirements.