CORE TECHNOLOGY
Memory-centric infrastructure powering AI factories, hyperscale clusters, and next-generation data centers.
OUR
CHALLENGE
// PROBLEM: MEMORY BOTTLENECK
// TARGET: RACK-SCALE LATENCY
THE PROBLEM: MEMORY BOTTLENECK
Traditional servers tightly couple memory to individual CPUs and GPUs, creating bottlenecks and stranded capacity.
THE SOLUTION: RACK-SCALE MEMORY
TORmem removes this constraint by delivering a rack-scale Disaggregated Memory Fabric—a high-performance memory layer accessible by all servers in the rack.
Built on PCIe Gen5 and RDMA over RoCEv2 with ultra-low-latency switching, TORmem delivers near-local memory performance at rack scale—enabling large-memory workloads without per-node overprovisioning, proprietary hardware, or vendor lock-in.
The result: supercomputer-class memory scalability delivered through open, standards-based data center infrastructure.
MEMORY-CENTRIC
ARCHITECTURE
SUPPLY CHAIN
Streamlined supply chain management that eliminates concerns around component shortages and complex server memory configurations.
FUTURE PROOF
All servers can use the latest memory technologies, even over time.
EFFICIENCY
Decommissioned servers won't take large amounts of memory with them.
MEMORY-AS-A-SERVICE
Dynamic allocation enables true MaaS, allowing instant provisioning for AI machine leasing.
SOLVING
REAL PROBLEMS
MOORE'S LAW
The traditional approach to increase CPU compute capacity and local memory no longer scales. The amount of memory required for intensive use cases is growing, but space and cost are not.
MEMORY
UNLEASHED
IMC holds all required data within high-speed memory, eliminating the bottleneck of fetching data from slow storage. This keeps CPUs and GPUs fully fed.
SYSTEM EVOLUTION
LEGACY ARCHITECTURE
STATUS: INEFFICIENTHard choice between small amounts of fast memory and large amounts of slow storage.
TORMEM ARCHITECTURE
STATUS: OPTIMALNo longer limited by capacity. New workloads supported efficiently.
OPTIMIZING SYSTEM COSTS
By removing the need to populate each server with large amounts of local DRAM, TORmem reduces per-server system cost across the rack.
Through a rack-scale Disaggregated Memory Fabric, memory capacity is deployed where it is needed and shared efficiently, improving utilization while simplifying system design for both small and large deployments.