Redefining Datacenter Scale & Economics
For decades, the industry has equated computational power with physical scale—massive warehouses filled with servers, consuming acres of real estate and megawatts of power. JEA Labs is fundamentally challenging this paradigm by manufacturing the most powerful, dense, and efficient computing systems ever developed.
You no longer need to build a massive datacenter to achieve extraordinary computational power. JEA Labs' revolutionary technology delivers unprecedented density (in Petabytes/Petaflops/TBPS) and efficiency (PUE=Power Usage Effectiveness), allowing enterprises to dramatically reduce their infrastructure footprint without sacrificing performance—in fact, while dramatically increasing it.
To put this transformation in perspective: a single rack of JEA Labs systems can deliver the computational power that would traditionally require an entire datacenter floor. This represents not just an evolution in computing, but a complete reimagining of what a "datacenter" needs to be in the modern era.
Revolutionary Density: One Rack = One Datacenter
The cornerstone of JEA Labs' transformative approach is unprecedented computational density. With our systems, a single rack can deliver what traditionally requires an entire datacenter:
This extraordinary density means that enterprises can achieve datacenter-scale computing without building massive facilities. A single JEA Labs rack could have more compute petaflops than all of NASA's current supercomputers combined, completely redefining what's possible in a small footprint.
This isn't just about space. The reduced footprint translates directly to significant cost savings in real estate, construction, maintenance, staffing, and operations. Enterprises can now deploy world-class computing capacity in a standard server room rather than developing dedicated facilities.
Infrastructure Cost Comparison
Unmatched Efficiency: The Green Computing Revolution
Beyond density, JEA Labs systems achieve unprecedented energy efficiency that dramatically reduces operational costs and environmental impact while eliminating the need for industrial-scale cooling infrastructure:
For context, the industry average PUE hovers around 1.57, with many facilities operating well above that threshold. JEA Labs' engineered liquid cooling solution achieves near-perfect efficiency, approaching the theoretical minimum PUE of 1.0, eliminating the need for massive cooling infrastructure that typically dominates datacenter design.
This efficiency translates to an annual reduction of quadrillions in CO2 emissions compared to traditional infrastructure. This drastic reduction not only allows companies to advance towards their sustainability goals but also provides them with the opportunity to generate valuable carbon credits. These credits can be used internally to offset other internal emissions, or be sold to other companies needing to meet their own reduction targets. This trading represents an optimal utilization of funds, as it transforms environmental commitment into a potential revenue stream or a strategic tool for reinvestment. Thus, companies can not only achieve their sustainability goals without compromising their computational capacity but also effectively decouple environmental impact from their digital transformation initiatives, opening a new avenue to capitalize on their ecological efforts.
Annual TOTAL Energy Cost Comparison (1 MW Compute)
Real-World Applications: Enterprise to Industry
JEA Labs systems are transforming operations across sectors by eliminating the need for massive datacenter investments while delivering superior computational capabilities:
Enterprise Computing
Fortune 500 companies can replace entire datacenter floors with a few JEA racks, dramatically reducing real estate costs while increasing computational power. This enables rapid deployment of AI, big data, and business intelligence capabilities without massive infrastructure projects.
Example: A financial services firm consolidated six datacenter locations into a single floor, saving $14.3M annually in operational costs while doubling their compute capacity for algorithmic trading and risk analysis.
Manufacturing & Industrial
Industrial facilities can deploy supercomputer-class processing on the factory floor in a standard server room footprint. This enables real-time processing of sensor data, digital twin technology, and advanced simulation without building dedicated computer facilities.
Example: An automotive manufacturer implemented two JEA racks to replace a planned 10,000 sq ft compute facility, achieving superior performance for complex simulations while reducing project timeline by 18 months.
Research & Development
Research institutions can access supercomputer-class computing without multi-million dollar facilities. JEA systems can be installed in existing buildings, dramatically reducing time-to-capability for advanced computational research.
Example: A pharmaceutical research lab deployed a single JEA rack with equivalent power to what would have required a dedicated compute building, accelerating molecular modeling capabilities by 2 years vs. traditional infrastructure approaches.
Edge Computing / Remote Sites
Supercomputing capabilities can now be deployed at edge locations previously considered impossible due to space, power or cooling constraints. This enables real-time processing for applications where latency to central datacenters is problematic.
Example: An energy company deployed JEA systems at remote extraction sites, enabling real-time seismic analysis that previously required transmitting data to regional datacenters, reducing analysis time from days to minutes.
AI & Machine Learning
Organizations can deploy massive AI training capacity without building dedicated AI datacenters. JEA's density enables enterprise-scale AI initiatives within existing facility footprints at a fraction of the traditional infrastructure cost.
Example: A retail analytics firm achieved 8x more AI training capacity than their original datacenter design proposal at 40% of the budgeted cost, using just three JEA racks in an existing server room.
Cloud Service Providers
Cloud providers can dramatically increase compute density in existing facilities, multiplying capacity without expanding real estate footprint. This enables competitive advantage through superior price-performance ratios and sustainability metrics.
Example: A regional cloud provider increased computational capacity by 600% within their existing facility by replacing traditional infrastructure with JEA systems, eliminating a planned $40M expansion project.
Specialized Computing Solutions
JEA Labs offers a range of specialized systems, each delivering unprecedented density and efficiency for specific computational needs:
Modular PSU & Power Distribution
- Maximum efficiency for future expansion
- Superior ROI & built-in redundancy
- Customizable power voltage for critical hardware
- Supports high GPU demands with optimized 12V distribution
- AC/DC 120V or 240V with platinum-rated efficiency
- Eliminates need for datacenter-scale power infrastructure
RF Focus Node
- Multiple SDR antennas supporting Sub-6GHz or mmWave
- Redundant GPS/GNSS chips with atomic clocks
- 15-20+ RF PCIe cards with varying capabilities
- 4-8 GPUs for ML/AI/DL matrix multiplication
- 1-8TB RAM and 1000-4000TB storage
- Multi-vendor AI accelerators for framework-specific optimization
Big Data/Cloud Server
- 5-6 GPU/FPGA/PCIe accelerator cards
- 2-3 FPGA Network Cards for optimized data transfer
- 1-8TB RAM with high-speed 256-512GB modules
- 1000-4000+TB storage with 50 - 128 GB/s read/write speeds
- Custom software stack with big data tools and analytics
- 25-800+ GBE networking throughput
CPU Intensive Environment
- 5-100+TB total RAM with CXL support
- 300-2000+ processing cores
- Support for 5-40+ Intel motherboards in one enclosure
- Independent RAM, PCIe, storage, and networking resources
- Optimized for highly parallel workloads
- Custom BSD OS with proprietary performance optimizations
GPU/AI Accelerator Node
- 1-4 high-performance EPYC/Xeon/Ampere processors
- 1-8TB RAM for massive dataset processing
- 500-1500+TB storage capacity
- 10-25+ GPU/FPGA cards from various vendors
- 25-800+ GBE networking with FPGA SmartNICs
- Optimized for AI training, inference, and rendering
5G-6G Open RAN Node
- MIMO antenna arrays with multiple frequency ranges
- Integrated atomic clock and multiple GNSS systems
- 50-800+ GBE networking through FPGA SmartNICs
- 500-1000TB storage capacity
- AI/ML GPUs for self-monitoring network management
- Software-defined network capabilities
These specialized computing solutions can transform capabilities within existing facility footprints, eliminating the need to build massive datacenters while delivering superior computational power and efficiency.
Future-Proof Infrastructure
Beyond immediate density and efficiency benefits, JEA Labs systems are designed for sustainability and long-term adaptability:
Extended Lifecycle
Unlike conventional servers with 3-5 year replacement cycles, JEA Labs systems are designed for 7-10+ year lifecycles with modular upgradability. This eliminates the continuous construction and expansion cycle that plagues traditional datacenter operations. Components like CPUs, RAM, GPUs, and storage can be upgraded independently, ensuring systems remain cutting-edge while reducing e-waste and capital expense cycles.
Revolutionary Materials
JEA Labs employs exotic and advanced materials in their construction. These materials enable the extraordinary density and thermal performance that allows datacenter-scale computing in a fraction of the space.
Customized Software Environment
Each system includes 200-400 hours of software installation and configuration, creating a tailored environment optimized for specific workloads. This dramatically reduces implementation time compared to traditional infrastructure deployments, accelerating time-to-value for critical computing initiatives.
Technical Specifications & Investment
| Parameter | Standard Systems | Our High-End Systems |
|---|---|---|
| Processing Cores | 300-500 cores | Up to 2000+ cores |
| Memory Capacity | 1-8TB RAM | Up to 100+TB with CXL |
| Storage Capacity | 500-1500TB | Up to 4000+TB |
| GPU/Accelerators | 4-8 cards | Up to 25+ cards |
| Network Throughput | 25-100 GBE | Up to 800+ GBE |
| Power Efficiency | PUE 1.07-1.20 (water) | PUE 1.01-1.06 (engineered liquid) |
| Rack Density | ~150kW per rack | Up to 300kW+ per rack |
| Base Price Range | Starting at $175k | $4.5-6 million (full spec) |
While JEA Labs systems represent a premium investment, the total cost of ownership is dramatically lower than traditional datacenter approaches when considering eliminated construction costs, reduced real estate requirements, lower operational expenses, and extended lifecycles. A single full rack configuration can cost upwards of $50 million, but replaces what would traditionally require $150-200+ million in datacenter construction and equipment costs.