GPU, NVIDIA TESLA C2050 by Philips

Key Highlights

• The NVIDIA TESLA C2050 GPU by Philips is designed to enhance imaging performance in advanced CT systems, providing faster processing times for complex algorithms.
• With its high parallel processing capabilities, this GPU significantly improves the speed of image reconstruction, enabling quicker diagnosis and treatment planning.
• It is specifically optimized for use with Philips' BRILLIANCE series, ensuring seamless integration and reliable performance across various imaging modalities.
• The GPU supports advanced visualization techniques, which can enhance the clinician's ability to interpret complex imaging data effectively.
• Its robust architecture allows for scalability, making it suitable for both current and future imaging applications as technology evolves.

Compatible Systems & Use Cases

• BRILLIANCE BIG BORE
• BRILLIANCE 64
• BRILLIANCE
• BRILLIANCE CT AIR

This GPU is ideal for use in high-throughput radiology departments, enhancing capabilities in routine and advanced imaging scenarios, including oncology and trauma assessments.

Technical Specifications

Parameter	Value
GPU Architecture	Fermi
CUDA Cores	512
Memory Size	3 GB GDDR5
Memory Bandwidth	144 GB/s
Power Consumption	225 W

Clinical and Service Value

The NVIDIA TESLA C2050 GPU enhances imaging capabilities in clinical settings by enabling faster image processing and reconstruction. This efficiency translates to improved patient throughput, allowing healthcare facilities to manage higher volumes of imaging studies without compromising diagnostic quality. As a result, clinicians can make timely decisions, which is crucial in acute care scenarios.

From a maintenance perspective, the integration of the TESLA C2050 within existing Philips systems ensures compatibility and reliability. Regular software updates and support from Philips facilitate the longevity of the GPU, minimizing downtime and ensuring that the imaging systems remain at the forefront of technological advancements. This proactive approach to service enhances overall operational workflows and supports optimal patient care.

Additional notes

GPU, NVIDIA TESLA C2050 by Philips