Sub-Millisecond Inference & Edge Clusters
Houses up to 4x GPU accelerator nodes and 576 GB of unified HBM4 memory. Delivers 32.7 TB/s of memory bandwidth with direct PCIe Gen6 / CXL 3.1 pooling for ultra-low latency inference.
Systems & Blade Architecture · 2027 Roadmap
1U, 2U, and 3U Blade Servers Powered by HBM4.
AI training clusters, sovereign enterprise clouds, and high-throughput inference systems can no longer afford memory starvation. FairView is delivering next-generation rack-scale blade systems engineered with unified Stallion GPUs and Gallium HBM4 memory—delivering up to 131 TB/s of aggregate memory bandwidth in a single chassis.
Interactive Blade Configurator
Turnkey AI Supercomputing Form Factors
Select a form factor to inspect compute node density, unified HBM4 memory throughput, thermal dissipation, and networking bandwidth.
FAIRVIEW SYSTEMS · FV-RACK-1U · 1U RACK-MOUNT BLADE CHASSIS
2027 DeliverySTORAGE & I/O MATRIX
UNIFIED GPU + HBM4 COMPUTE MATRIX
ACCELERATOR NODE 1STALLION + GALLIUMHBM4 UNIFIED PLANE
ACCELERATOR NODE 2STALLION + GALLIUMHBM4 UNIFIED PLANE
ACCELERATOR NODE 3STALLION + GALLIUMHBM4 UNIFIED PLANE
ACCELERATOR NODE 4STALLION + GALLIUMHBM4 UNIFIED PLANE
CXL 3.1 / PCIe Gen6 Fabric800GbE OSFP NetworkingDIRECT-TO-CHIP LIQUID COOLING
Compute Density4x Stallion S80I or 2x Stallion S100 ModulesHigh-Efficiency Tensor Engine
Unified HBM4 Memory576 GB Unified HBM432.768 TB/s Aggregate
Interconnect & FabricDual PCIe Gen6 x16 + CXL 3.1 Memory PoolingDual 800GbE OSFP (RDMA / RoCEv2)
Thermal Efficiency1,800W Peak / Redundant 80-Plus TitaniumDirect-to-Chip Liquid or High-Static Air
Rack-Scale Architecture
Engineered from Silicon to Rack Spine
Traditional servers treat memory, GPUs, storage, and networking as disjoint plug-in cards. FairView Blade Systems unify them through high-speed coherent fabric and direct thermal coupling.
Enterprise LLM Fine-Tuning & Sovereign Clouds
Deploying 8x GPU nodes with 1.15 TB of unified HBM4 memory at 65.5 TB/s bandwidth and 16x hot-swap Gen5 NVMe storage arrays for high-throughput checkpointing.
Frontier Supercomputing & Foundation Models
Modular 3U supercomputing blade integrating 16x hybrid compute dies, 2.30 TB HBM4 memory, 131.0 TB/s aggregate memory bandwidth, and octal 800GbE OSFP networking.
Direct-to-Chip Liquid Cooling
Custom micro-channel cold plates mounted directly over the 2.5D CoWoS packages, extracting up to 8,500W per chassis with whisper-quiet data center PUE < 1.08.
CXL 3.1 Zero-Copy Memory Pooling
Seamless memory sharing across blade nodes. CPU host and GPU accelerator share a unified, coherent address space without DDR bottlenecks or PCIe latency overheads.
Gen5 NVMe-oF High-Speed Storage
Integrated storage acceleration for high-throughput checkpointing and instant dataset streaming directly to Gallium HBM4 memory buffers.
Comparative Specifications
Blade Systems Overview
| Feature | FV-RACK-1U | FV-RACK-2U | FV-RACK-3U |
|---|---|---|---|
| Target Role | High-Density Inference | Enterprise Sovereign AI | Megascale Pre-Training |
| Compute Configuration | 4x Accelerator Nodes | 8x Accelerator Nodes | 16x Hybrid Compute Nodes |
| Unified HBM4 Capacity | 576 GB | 1,152 GB (1.15 TB) | 2,304 GB (2.30 TB) |
| Aggregate Memory Bandwidth | 32.768 TB/s | 65.536 TB/s | 131.072 TB/s |
| Host Fabric | Dual PCIe 6 + CXL 3.1 | Quad PCIe 6 + CXL 3.1 | Octal PCIe 6 + CXL 3.1 |
| Networking | Dual 800GbE OSFP | Quad 800GbE OSFP | Octal 800GbE OSFP |
| Thermal Solution | Liquid Ready / High Air | Modular Cold Plate | Full Direct Immersion Ready |
| Delivery Target | 2027 Delivery Book | 2027 Delivery Book | 2027 Delivery Book |