Seven of the world’s largest systems manufacturers, including Cisco, Dell EMC, Fujitsu, Hewlett Packard Enterprise (HPE), Inspur, Lenovo and Sugon, have introduced NVIDIA T4 Servers architected to run CUDA-X AI accelerated data analytics, machine learning and deep learning.
Featuring NVIDIA T4 GPUs and fine-tuned to run NVIDIA CUDA-X AI acceleration libraries, these newly launched servers would provide businesses a standard, highly efficient platform for data analytics and a wide range of other enterprise workloads.
“As more enterprises begin to institute artificial intelligence into their business operations, the need for dense servers equipped with versatile GPU accelerators continues to grow,” said Madhu Matta, vice president and general manager of HPC/AI, Lenovo Data Center Group. “Together with NVIDIA, Lenovo is providing the infrastructure necessary for customers to successfully implement AI initiatives that lead to data-driven insights and competitive advantage. The Lenovo ThinkSystem SR670 supports up to eight NVIDIA T4 GPUs in 2U, and jointly with Lenovo Intelligent Computing Orchestration (LiCO), provides leading economies of scale for customers on their AI journey.”
Drawing only 70 watts of power and designed to fit into existing data center infrastructures, the T4 GPU can accelerate AI training and inference, machine learning, data analytics and virtual desktops. This unique combination of capabilities has helped create a new class of enterprise servers that, through GPU acceleration, can provide businesses with greater utility and versatility.
“The rapid adoption of T4 on the world’s most popular business servers signals the start of a new modern era in enterprise computing – one in which GPU acceleration has become standard,” said Ian Buck, vice president and general manager of Accelerated Computing at NVIDIA. “Now, with a wave of mainstream NVIDIA-powered servers optimized for data science, companies worldwide can deploy accelerated AI at a faster pace across their entire business.”
Validated as NVIDIA NGC-Ready Systems announced by Cisco, Dell EMC, Fujitsu, HPE, Inspur, Lenovo and Sugon 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.
Launched in November, the NGC-Ready program would feature a select set of systems powered by NVIDIA GPUs with Tensor Cores that are ideal for a wide range of AI workloads.
Key ‘NVIDIA NGC-Ready’ validated T4 servers now include:
- Cisco UCS C240 M5
- Dell EMC PowerEdge R740/R740xd
- Fujitsu PRIMERGY RX2540 M5
- HPE ProLiant DL380 Gen10
- Inspur NF5280M5
- Lenovo ThinkSystem SR670
- Sugon W760-G30
Enterprise Support Program
Furthering the value of this program, NVIDIA has also launched an enterprise support service exclusively for customers with NGC-Ready systems, including all NGC-Ready T4 systems as well as previously validated NVLink and Tesla V100-based servers and NVIDIA-powered workstations.
NVIDIA NGC Support Services give customers direct access to NVIDIA technical experts to help ensure their NGC-Ready systems run optimally and maximize system utilization and user productivity.
NVIDIA’s support service is available through sellers of NGC-Ready systems, with immediate availability from Cisco for its NGC-Ready validated NVIDIA V100 system, Cisco UCS C480 ML. HPE will offer the service for the HPE ProLiant DL380 Gen10 server as a validated NGC-Ready NVIDIA T4 server in June. Several other original equipment manufacturers are expected to begin selling the service on their NVIDIA T4 and V100 systems in the second quarter.
“Inspur works closely with NVIDIA to keep bringing the most powerful AI computing products to our clients in order to enable the continuous breakthroughs in their business,” said Jun Liu, general manager of AI & HPC, Inspur. “The new NVIDIA T4 NGC-ready GPU feature server is fine-tuned to run the NVIDIA CUDA-X AI acceleration libraries, providing a comprehensive solution and service support for data scientists, supporting multiple AI workloads while enjoying a high-quality virtual desktop experience.”
