MSI GeForce RTX 4090 Turbo 24G Server GPU Accelerator

The MSI GeForce RTX 4090 Turbo 24G is a purpose-built server GPU accelerator featuring NVIDIA's Ada architecture with 16,384 CUDA cores and 24GB of GDDR6X memory, engineered specifically for space-constrained multi-GPU chassis. The blower-style active cooling design exhausts hot air directly out of the card rather than recirculating internally, enabling tighter GPU-to-GPU spacing in 1U and 2U server form factors where traditional dual-fan coolers would create thermal conflicts. This thermal efficiency is critical for maintaining sustained boost clocks during continuous inference workloads without thermal throttling in high-density deployments.

Launched in Q1 2023, the RTX 4090 Turbo addresses acute supply constraints across data center and research hospital deployments where AI/ML inference demand significantly outpaced GPU availability. The single-slot profile allows up to 8 GPUs in standard server chassis, compared to 2-4 units with conventional coolers, maximizing inference throughput per rack unit. The 575W TGP (Total Graphics Power) and optimized power delivery support sustained datacenter operation within standard 80+ Platinum PSU infrastructure.

The card is explicitly designed for inference acceleration on large language models (LLMs), computer vision pipelines, and recommendation engines rather than training workloads. Support for NVLink-C2C enables multi-GPU communication within compatible server architectures, and PCIe 4.0 x16 interface ensures compatibility with current data center motherboards without custom carrier boards.

Ideal for

• Inference serving for large language models (Llama, GPT-variant deployments) in multi-tenant cloud platforms
• Medical imaging AI acceleration (segmentation, classification, reconstruction) in hospital research centers and diagnostic labs
• Real-time video analytics and computer vision inference across security, manufacturing, and traffic monitoring systems
• Recommendation engine acceleration for e-commerce and content platforms requiring sub-100ms latency at scale
• Batch AI inference and model serving in on-premises enterprise data centers with space and thermal constraints
• Research computing for academic institutions running simultaneous deep learning inference workloads across physics, biology, and climate modeling

Technical specifications

Available from Omnixon Global. Submit an RFQ and our team will confirm configuration and availability for your order.