Recommendations for SOLIDWORKS 2020 Hardware Processor: Process in SOLIDWORKScan only use a single core because of inherently linear parent/child relationship features. Performance can be increased by having a faster clock speed of the CPU.• Products such as...
NVIDIA is benefiting from the coronavirus-induced work-from-home and learn-at-home wave. Strong growth in GeForce desktop and notebook GPUs is boosting its gaming revenues. NVIDIA GPUs are gaining rapid traction with the proliferation of AI. The increasing use of AI...
The servers optimized to run NVIDIA’s data science acceleration software are now available from seven of the world’s largest systems manufacturers, including Cisco, Dell EMC, Hewlett Packard Enterprise (HPE) and Lenovo
Systems announced today by Cisco, Dell EMC, Fujitsu, HPE, Lenovo are NVIDIA NGC-Ready validated, a designation reserved for servers with demonstrated ability to excel in a full range of accelerated workloads.
All software tested as part of the NGC-Ready validation process is available from NVIDIA NGC™, a comprehensive repository of GPU-accelerated software, pre-trained AI models, model training for data analytics, machine learning, deep learning and high performance computing accelerated by CUDA-X AI.
NGC-Ready program features a select set of systems powered by NVIDIA GPUs with Tensor Cores that are ideal for a wide range of AI workloads.
Key NGC-Ready validated T4 servers announced today are:
- Cisco UCS C240 M5
- Dell EMC PowerEdge R740/R740xd
- Fujitsu PRIMERGY RX2540 M5
- HPE ProLiant DL380 Gen10
- Lenovo ThinkSystem SR670
NVIDIA T4-equipped servers have been certified by leading OEMs for NVIDIA virtual GPU software — NVIDIA GRID® Virtual PC (vPC) for knowledge workers and NVIDIA Quadro Virtual Data Center Workstation (vDWS) for creative and technical professionals.
With the T4, users will enjoy high-quality virtual desktop experiences on the latest generation of servers, including up to 33 percent more VDI performance than CPU-only with GRID vPC