AI Fabless Design House & AI Server Platform Company
eShade defines AI-compute architectures, integrates AI accelerators with high-bandwidth memory, and delivers validated server platforms through qualified manufacturing partners.
AI Accelerator Design
Architecture, IP and memory integration for proprietary AI accelerator subsystems.
Learn moreAI Server Platforms
Rack-scale AI servers, accelerator modules, firmware and system software.
Learn moreValidation & Lifecycle
Reliability, compliance, customer qualification and lifecycle support.
Learn moreWhy choose eShade?
eShade Technology Company is a Delaware-based fabless design house specializing in high-bandwidth memory architectures and validated AI server platforms. Our business model keeps full design ownership in-house and runs manufacturing through a controlled partner ecosystem.
Design ownership
Architecture, IP and platform engineering stay in-house.
Controlled ecosystem
Foundry, OSAT, HBM and ODM partners run under our specifications.
Validated platforms
Prototypes are tested against functional and performance targets.
Lifecycle management
Change control, allocation tracking and long-term support.
Fabless, with full design ownership
Architecture & IP
AI accelerator subsystem, interconnect and memory architecture.
Platform engineering
PCB, power, thermal, firmware, BMC and system software.
Partner execution
Foundry, OSAT, HBM, PCB/ODM and contract manufacturing.
Qualification & support
Reliability, compliance, customer validation and lifecycle management.
Four generations of AI servers
From air-cooled 8-accelerator platforms to rack-scale AI infrastructure. HBM3E drives Generation 2 and 3, and Generation 4 uses HBM4.
ES-A100
ES-A200
ES-A300
ES-A400
Figures are proposed design targets subject to engineering validation.
HBM-enabled compute architecture
Memory bandwidth is treated as a first-order platform design constraint, not a component afterthought.
Baseline high-bandwidth memory integration and platform bring-up.
Current and latest product generations for dense AI training and inference.
Forward platform plan, building on the qualified HBM3E architecture.
Engineering, validation & lifecycle controls
Architecture reviews
Requirements, bandwidth model, thermal envelope and design sign-off.
Prototype validation
Signal integrity, power integrity, memory stress and workload benchmarking.
Reliability & compliance
Component traceability, burn-in strategy, safety and regulatory qualification.
Change control
BOM governance, PCN handling, firmware release and field issue closure.
Lifecycle support
Demand forecast, allocation tracking, RMA analysis and end-of-life planning.