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4029GP-TNR GPU Server
4029GP-TNR GPU Server 4029GP-TNR GPU Server
4029GP-TNR GPU Server 4029GP-TNR GPU Server
4029GP-TNR GPU Server 4029GP-TNR GPU Server

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4029GP-TNR GPU Server

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4029GP-TNR GPU Server builds the highest-performance, fastest-to-market servers based on NVIDIA A100™ Tensor Core GPUs. With the newest version of NVIDIA® NVLink™ and NVIDIA NVSwitch™ technologies, these servers can deliver up to 5 PetaFLOPS of AI performance in a single 4U system.

Key Highlights:
NVIDIA A100 Tensor Core.
NVIDIA GeForce RTX 4090.
NVIDIA Quadro RTX 8000.
NVIDIA RTX A6000.
NVIDIA GeForce RTX 3090 Ti.
NVIDIA GeForce RTX 4070. FP16 - 29.15 TFLOPS FP32 - 29.15 TFLOPS FP64 - 455.4 GFLOPS.
Google TPU v4 Pod. bf 16 - 297 TFLOPS Int 8 - 393 TFLOPS.
NVIDIA GeForce RTX 3060 Ti.
  • 4029GP-TNR GPU Server

  • VINCANWO

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Model 4029GP-TNR
Machine Frame 4U racks
CPU Dual Socket P (LGA 3647)
support2nd Gen Intel® Xeon®
Chipset Intel® C621
RAM 24pcs of memory slots
max supports 6TB RECC
2933/2666/2400 MHZ
Hard Disk Slot 24pcs of hot swappable hard drive slots
Standard configuration with 8pcs of SATA slots
CPU card Max supports 8pcs of GPU cards
RTX4090/RTX3090/V100
A6000/A5000/A100
Network Card 2pcs of Gigabit Ethernet ports
RAID SATA RAID 0,1,5,10
Display Controller 1 x VGA, 1 COM
External Device Ports Rear 2pcs of USB 3.0
CD Driver N/A
Cooling Action 8pcs of high speed hot swappable fans
Power Supply 2000W (2+2) redundant power supply
80PLUS platinum certification
Management IPMI 2.0 interface
Operating System Windows, Linux
Temperature Working Environment: - 10℃ ~ + 35℃
Non-working Environment: - 40℃ ~ + 70℃
Humidity Working Environment: 8%~90%
Non-working Environment: 5%~95%
Product Size (mm) 737 x 437 x 178
Product Weight (kg) 29.7
Accessories Installation guide rail (optional) / screw pack


4029GP-TNR GPU Server acts as a companion processor to CPUs, GPUs exponentially boost the speed and processing capabilities of a system. GPUs perform computing applications concerning technical and scientific data in an accelerated way, adding efficiency when they are integrated alongside CPUs.

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