GPU, NVIDIA TESLA C2075 by Philips

Key Highlights

• The NVIDIA TESLA C2075 GPU by Philips enhances computational capabilities, enabling advanced imaging algorithms and faster processing times in radiology systems.
• Designed for high-performance applications, this GPU supports complex data processing, improving the efficiency of diagnostic imaging workflows.
• Its compatibility with various Philips Brilliance models ensures seamless integration, allowing for enhanced imaging performance across multiple modalities.
• The GPU's architecture is optimized for parallel processing, making it ideal for demanding tasks such as 3D reconstruction and real-time image analysis.
• With robust thermal management, the TESLA C2075 maintains optimal performance levels, ensuring reliability in clinical environments.

Compatible Systems & Use Cases

• BRILLIANCE BIG BORE
• BRILLIANCE 64
• BRILLIANCE
• BRILLIANCE ICT 128
• BRILLIANCE CT AIR

Technical Specifications

Parameter	Value
GPU Architecture	Fermi
CUDA Cores	512
Memory Size	6 GB GDDR5
Memory Bandwidth	144 GB/s
Power Consumption	225 W

Clinical and Service Value

The integration of the NVIDIA TESLA C2075 GPU into Philips imaging systems significantly enhances the overall performance and efficiency of diagnostic workflows. By facilitating advanced image processing capabilities, it allows radiologists to obtain high-quality images more quickly, ultimately leading to faster diagnoses and improved patient outcomes. The ability to handle complex algorithms and large datasets ensures that healthcare providers can meet the increasing demands of modern imaging practices.

Furthermore, the GPU's compatibility with a range of Philips Brilliance models ensures that hospitals can maximize their existing investments while upgrading their imaging capabilities. The robust design and reliable thermal management of the TESLA C2075 contribute to reduced maintenance needs and extended equipment lifespan. This reliability translates into less downtime and more consistent service delivery, which is crucial in fast-paced clinical environments.

Additional notes

GPU, NVIDIA TESLA C2075 by Philips