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Ships within 48 hours · Estimated delivery Aug 15 - Aug 20
24 lbs) Mounting and enclosure Mounts in an EIA-standard 19-inch telco rack or equipment cabinet (rack-mounting kit included)
It uses a 6Gb/s SATA interface with a large 128MB cache
and GPU clusters for distributed AI training
reducing operational costs while ensuring long-term dependability
Standard accessories as available (see product photos for details
dell nvidia tesla m60 16gb x8 pci e 300w dw gpu vwyhn StoreServ 24 lbs) Mounting and enclosureSPECIFICATIONS Virtualization Use Case Performance Optimized Graphics Virtualization GPU Architecture NVIDIA Maxwell GPUs per Board 2 Max User per Board 32 (16 per GPU) NVIDIA CUDA Cores 4096 NVIDIA CUDA Cores (2048 per GPU) GPU Memory 16 GB of GDDR5 Memory (8 per GPU) H. 264 1080p30 streams 36 Max Power Consumption 300 W Thermal Solution Active Passive Form Factor PCIe 3. 0 Dual Slot NVIDIA redefined visual computing by giving designers, engineers,