- Joined
- Oct 9, 2007
- Messages
- 47,304 (7.52/day)
- Location
- Hyderabad, India
System Name | RBMK-1000 |
---|---|
Processor | AMD Ryzen 7 5700G |
Motherboard | ASUS ROG Strix B450-E Gaming |
Cooling | DeepCool Gammax L240 V2 |
Memory | 2x 8GB G.Skill Sniper X |
Video Card(s) | Palit GeForce RTX 2080 SUPER GameRock |
Storage | Western Digital Black NVMe 512GB |
Display(s) | BenQ 1440p 60 Hz 27-inch |
Case | Corsair Carbide 100R |
Audio Device(s) | ASUS SupremeFX S1220A |
Power Supply | Cooler Master MWE Gold 650W |
Mouse | ASUS ROG Strix Impact |
Keyboard | Gamdias Hermes E2 |
Software | Windows 11 Pro |
NVIDIA today announced that NVIDIA Tesla GPUs are now available in Fujitsu's PRIMERGY CX400 S1 servers, offering high-performance GPU-accelerated computing to Fujitsu's large installed base of customers in Japan and Europe.
Fujitsu designed the PRIMERGY CX400 S1 server for high performance in a compact form factor by using half-wide, two-socket server nodes -- doubling the number of cores per unit height. The system houses either four 1U hot-plug PRIMERGY CX250 S1 server nodes with two CPUs per node, or two 2U hot-plug CX270 S1 server nodes with two CPUs and one NVIDIA Tesla GPU per node.
"Fujitsu is a leader in high-performance computing (HPC)," said Sumit Gupta, senior director of the Tesla business at NVIDIA. "Its new GPU-equipped servers provide supercomputing performance to the broad base of researchers and engineers at universities, enterprise and government research laboratories."
Combining a multicore CPU with the hundreds of parallel processing cores of an NVIDIA GPU has enabled a new GPU-accelerated computing model for the HPC industry. This combination shifts complex parallel computing tasks to the GPU and keeps program logic aligned with the CPU, enabling dramatically higher levels of performance than CPU-only systems, while significantly reducing power consumption.
The GPU-accelerated Fujitsu system is designed to address complex computational processing challenges inherent in HPC applications, including structural mechanics, fluid dynamics, seismic modeling and imaging, bioinformatics, molecular dynamics, and computational finance and data mining. The automotive industry is also rapidly deploying GPU technology for crash simulations and CAE design based on its ability to significantly reduce simulation runtimes and computational costs.
"The Fujitsu PRIMERGY Multi-Node CX400 demonstrates Fujitsu's philosophy of field innovation and a constant drive to increase the power and flexibility of our scale-out server systems for both HPC and cloud computing environments," said Jens-Peter Seick, senior vice president of Product Development Group at Fujitsu Technology Solutions. "With support for NVIDIA GPUs, the system dramatically increases computational performance, while reducing costs and power consumption. This combination is exactly what today's HPC customers are looking for."
Fujitsu PRIMERGY CX400 S1 Multi-Node systems are available now from Fujitsu and its channel partners. For a list of channel partners by region, visit the Fujitsu Global Reseller Locator website.
For more information, visit the product page.
View at TechPowerUp Main Site
Fujitsu designed the PRIMERGY CX400 S1 server for high performance in a compact form factor by using half-wide, two-socket server nodes -- doubling the number of cores per unit height. The system houses either four 1U hot-plug PRIMERGY CX250 S1 server nodes with two CPUs per node, or two 2U hot-plug CX270 S1 server nodes with two CPUs and one NVIDIA Tesla GPU per node.
"Fujitsu is a leader in high-performance computing (HPC)," said Sumit Gupta, senior director of the Tesla business at NVIDIA. "Its new GPU-equipped servers provide supercomputing performance to the broad base of researchers and engineers at universities, enterprise and government research laboratories."
Combining a multicore CPU with the hundreds of parallel processing cores of an NVIDIA GPU has enabled a new GPU-accelerated computing model for the HPC industry. This combination shifts complex parallel computing tasks to the GPU and keeps program logic aligned with the CPU, enabling dramatically higher levels of performance than CPU-only systems, while significantly reducing power consumption.
The GPU-accelerated Fujitsu system is designed to address complex computational processing challenges inherent in HPC applications, including structural mechanics, fluid dynamics, seismic modeling and imaging, bioinformatics, molecular dynamics, and computational finance and data mining. The automotive industry is also rapidly deploying GPU technology for crash simulations and CAE design based on its ability to significantly reduce simulation runtimes and computational costs.
"The Fujitsu PRIMERGY Multi-Node CX400 demonstrates Fujitsu's philosophy of field innovation and a constant drive to increase the power and flexibility of our scale-out server systems for both HPC and cloud computing environments," said Jens-Peter Seick, senior vice president of Product Development Group at Fujitsu Technology Solutions. "With support for NVIDIA GPUs, the system dramatically increases computational performance, while reducing costs and power consumption. This combination is exactly what today's HPC customers are looking for."
Fujitsu PRIMERGY CX400 S1 Multi-Node systems are available now from Fujitsu and its channel partners. For a list of channel partners by region, visit the Fujitsu Global Reseller Locator website.
For more information, visit the product page.
View at TechPowerUp Main Site