astralcooler
[Flagship] Water Cooling Solution for Tower Server
2000-3000W dual-rad cooler
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What's In The Box
| NO. | ACCESSORIES | QTY |
|---|---|---|
| 01 | CPU Water Block | custom |
| 02 | GPU Water Block | custom |
| 03 | Pump-reservoir combo | 1x |
| 04 | 480x240x100mm Radiator | 1x |
| 05 | 360x120x30mm/480x120x60mm Radiator | 1x |
| NO. | ACCESSORIES | QTY |
|---|---|---|
| 06 | Cooling Fan | 12/13x |
| 07 | Distro Plate | 1x |
| 08 | Soft Tubing | 4.5m |
| 09 | Tube Fitting | 30x |
| 10 | Computer Case | 1x |
Measured, Not Modeled
DYNAMIC WATER LOOP DIAGRAM
Native support for system TDP from 2000W to 3000W. Features a 480×240×100mm ultra‑thick radiator and a 480×120×60mm slim radiator – combined with 12× 120mm fans, delivering significantly more heat dissipation area and airflow than single‑radiator designs. Peak power spikes are no bottleneck.
A dedicated distribution plate enables fully independent parallel flow to multiple GPUs and the CPU. Eliminates the “hot last card” problem of serial designs. Temperature difference between GPUs is kept within ±2°C – consistent performance in synchronous distributed training.
Oxygen‑free copper micro‑fin water blocks (custom‑fit for CPU/GPU) + dual‑radiator loop. During sustained 2800W load, GPU/CPU temperatures stay stable at 45–55°C. No downclocking, no power limiting, no interrupted training – shorter model iteration cycles.
Target Users & Typical Workloads
Research institutions & university AI labs
They need to handle large models with hundreds of billions of parameters (100B+ Parameters) and require local compute clusters for algorithm validation.
Deep learning hardware integrators (SIs)
For business owners dedicated to selling "AI compute black boxes," this solution serves as the top-tier benchmark in their product line. Its hardcore industrial aesthetic (black EPDM tubing, dense radiator arrays) combined with commercial-grade 8K photography showcases unparalleled technical dominance—a visual engine that attracts large-volume orders.
Autonomous driving & weather simulation enterprises
They process petabyte-scale sensor data and require GPUs to sustain peak compute output at the 3000W level, with stringent demands on system MTBF (Mean Time Between Failures).
Purchase note
Different CPUs and GPUs require different water block models. Please send your specific model to customer service.
CPU Block specification
| Specification | Value |
|---|---|
| Material | Oxygen-free copper, Aluminum |
| Craft | Anodizing |
| Port threads | G1/4" |
GPU Block specification
| Specification | Value |
|---|---|
| Material | Oxygen-free copper |
| Port threads | G1/4" |
Radiator specification(480x240x100mm)
| Specification | Value |
|---|---|
| Size | 518 × 254 × 100 mm |
| Material | Oxygen-free copper |
| Fan compatibility | 120 × 120 × 25 mm fan (8pcs) |
| Port threads | G1/4" |
Radiator specification(360x120x30mm)
| Specification | Value |
|---|---|
| Size | 398.6 x 120 x 30.7mm |
| Material | Copper |
| Fan compatibility | 120 × 120 × 25 mm fan (3pcs) |
| Port threads | G1/4" |
Radiator specification(480x120x60mm)
| Specification | Value |
|---|---|
| Size | 522.5 × 129 × 64 mm |
| Material | Copper |
| Fan compatibility | 120 × 120 × 25 mm fan (4pcs) |
| Port threads | G1/4" |
Fan specification
| Specification | Value |
|---|---|
| Size | 120 × 120 × 25 mm |
| Material | PVC composite |
| Static pressure | ≥ 300 Pa |
| Airflow | ≥ 80 CFM |
Pump specification
| Specification | Value |
|---|---|
| Size | 145 × 65 × 85 mm |
| Maximum capacity | 350 ml |
| Maximum speed | 7000 RPM |
| Voltage and current | 12V DC 5A |
| Maximum pressure head | 15 meters |
| Maximum flow | 1400 L/H |
| Drive mode | SINE WAVE FOC |
| Power connector | Molex 4Pin and PWM |
| Port threads | G1/4" |
Distro Plate specification
| Specification | Value |
|---|---|
| Size | 435 × 90 × 20 mm |
| Material | Oxygen-free copper, Aluminum |
| Supported flow channels | 6-way liquid flow distribution |