Nvidia’s latest GPU, the T4, continues to rack up wins. Unlike the V100, which is geared for traditional HPC scale-up environments including model training, the T4 is aimed more at inference applications and scale-out environments. From GTC China yesterday (Nov. 20), Nvidia announced that Baidu, Tencent, JD.com and iFLYTEK have begun using “T4 to expand and accelerate their hyperscale datacenters.” In addition, China’s computer makers Inspur, Inspur Power Systems, Lenovo, QCT, Huawei, Sugon and H3C announced a wide range of new T4 servers.
In his GTC China keynote, CEO Jensen Huang referred to the T4 as Nvidia’s “first hyperscale GPU” noting that it went into production just 30 days ago and is the fastest adopted server GPU in the history of the company. Since its introduction, it has on the order of 57 design wins.
Nvidia also announced adopters of its Nvidia HGX-2 server platform intended for AI deep learning, machine learning and high performance computing. Baidu and Tencent are using HGX-2 for a wide range of AI services for internal use and for their cloud customers. Inspur is China’s first to build an HGX-2 server, and Huawei, Lenovo and Sugon all announced that they have become Nvidia HGX-2 server partners.
At SC18 last week, Nvidia announced Google had deployed the T4. Among previously announced server companies featuring the Nvidia T4 are Dell EMC, IBM, Lenovo, and Supermicro. The T4 is based on Nvidia’s Turing architecture and features multi-precision Turing Tensor Cores and new RT Cores.
The newly announced servers include:
Inspur NF5280M4 /NF5280M5/NF5288M5/NF5468M5
Huawei G2500/2288 HV5/ 5288V5/G530 V5/G560 V5
Lenovo ThinkSystem SR630/SR650
Sugon X580-G30/X745-G30/X780-G30/X780-G35/X785-G30 / X740-H30
Inspur Power System: FP5295G2
H3C Uniserver G4900G3
