The QUATTRO is one of the most flexible, efficient and compact lasers on the market. Many metal working companies have a large number of components to manufacture but only need to produce one or two at a time. Ease of use, plus low operating costs make the QUATTRO the ideal solution for low volumes, without forgoing precision and quality.
This machine is no longer available.
Modular Design: The DLDSS-177 is built on a modular framework. This means that individual components—such as circuit breakers, metering units, and protective relays—can be swapped or reconfigured. This flexibility allows instructors to simulate various grid architectures, from radial systems to complex ring mains.
Overall, my experience with "dldss-177" has been [positive/negative/neutral]. While there were [challenges/issues], the [strengths/benefits] outweighed them. I would [recommend/not recommend] "dldss-177" to [specific audience or users]. dldss-177
| Phase | Dataset | Size | Modality Mix | Key Techniques | |-------|---------|------|--------------|----------------| | | Open‑MultiModal (text, image, audio, sensor) | 12 TB | 40 % text, 30 % image, 20 % audio, 10 % time‑series | Large‑scale masked modeling, contrastive learning, curriculum scheduling | | Graph Pre‑training | Dynamic‑KG (public knowledge graphs + synthetic events) | 1 B edges | Heterogeneous (entity, relation) | Edge‑mask prediction, sub‑graph contrastive loss | | Fine‑tuning | Domain‑specific (e.g., MIMIC‑IV for healthcare) | 500 GB | Domain‑dominant | Multi‑task loss re‑balancing, label‑smoothing, knowledge‑distillation from teacher models | Modular Design: The DLDSS-177 is built on a
Another angle is that "dldss-177" might be a code or a reference within a community or industry. For example, in gaming, DLSS (Deep Learning Super Sampling) is a real NVIDIA technology. Maybe the user meant DLSS but added the "-177" by accident. If that's the case, I should mention both possibilities but focus on what's known. | Phase | Dataset | Size | Modality

FULL ACCESS TO THE CUTTING AREA:
The three accessible sides of the QUATTRO laser facilitate sheet metal loading and unloading. Large-sized sheets which are bigger than the work area can also be processed, repositioning them manually.

COMPACT STRUCTURE:
With a footprint of just 6.4 m2, the QUATTRO is AMADA's smallest laser. The oscillator and numerical control are contained within the machine to maintain its extremely compact size.

DIVERSIFIED PROCESSING:
With the QUATTRO, not only sheet metal but rectangular and square tubes can be processed, providing even greater flexibility. (Option)

| QUATTRO | QUATTRO | |
|---|---|---|
| Laser power (W) | 1000 | 2500 |
| Machine type | CO₂ flying optic laser | CO₂ flying optic laser |
| Working range X x Y (mm) | 1250 x 1250 | 1250 x 1250 |
| Working range Z-axis (mm) | 100 | 100 |
| Table loading weight (kg) | 80 | 160 |
Material thickness (max.)*: | ||
| - Mild steel (mm) | 6 | 12 |
| - Stainless steel (mm) | 2 | 5 |
| - Aluminium (mm) | 1 | 4 |
Dimensions: | ||
| Length (mm) | 2900 | 2950 |
| Width (mm) | 2450 | 2450 |
| Height (mm) | 2160 | 2160 |
| Weight (kg) | 3750 | 4150 |
* Maximum thickness value depends on material quality and environmental conditions
Technical data can vary depending on configuration / options
Please contact us for more details and options or download our brochure

For your safe use.
Be sure to read the user manual carefully before use.
When using this product, appropriate personal protection equipment must be used.

Laser class 1 when operated in accordance to EN 60825-1
Modular Design: The DLDSS-177 is built on a modular framework. This means that individual components—such as circuit breakers, metering units, and protective relays—can be swapped or reconfigured. This flexibility allows instructors to simulate various grid architectures, from radial systems to complex ring mains.
Overall, my experience with "dldss-177" has been [positive/negative/neutral]. While there were [challenges/issues], the [strengths/benefits] outweighed them. I would [recommend/not recommend] "dldss-177" to [specific audience or users].
| Phase | Dataset | Size | Modality Mix | Key Techniques | |-------|---------|------|--------------|----------------| | | Open‑MultiModal (text, image, audio, sensor) | 12 TB | 40 % text, 30 % image, 20 % audio, 10 % time‑series | Large‑scale masked modeling, contrastive learning, curriculum scheduling | | Graph Pre‑training | Dynamic‑KG (public knowledge graphs + synthetic events) | 1 B edges | Heterogeneous (entity, relation) | Edge‑mask prediction, sub‑graph contrastive loss | | Fine‑tuning | Domain‑specific (e.g., MIMIC‑IV for healthcare) | 500 GB | Domain‑dominant | Multi‑task loss re‑balancing, label‑smoothing, knowledge‑distillation from teacher models |
Another angle is that "dldss-177" might be a code or a reference within a community or industry. For example, in gaming, DLSS (Deep Learning Super Sampling) is a real NVIDIA technology. Maybe the user meant DLSS but added the "-177" by accident. If that's the case, I should mention both possibilities but focus on what's known.