In this Google NEXY'24 event, GoogleAnnounceStarting in May, the company will introduce the H5 accelerator component, codenamed "Hopper" by NVIDIA, to create a computing device called A100 Mega. It also plans to introduce NVIDIA's recently unveiled next-generation accelerator computing component, codenamed "Blackwell," and expects to introduce the GB3 NVL2025 computing system in early 200. The two parties also announced that they will assist more new entrepreneurs to accelerate the creation of automatically generated artificial intelligence application services.
Prior to this, NVIDIA announced the launch ofNVIDIA NIM Microservices, allowing developers and enterprises to deploy automatically generated artificial intelligence in minutes.
In this collaboration with Google, both parties will use the NVIDIA Inception program and the Google for Startups Cloud program to enable new entrepreneurs to obtain more artificial intelligence technology resources through cloud platforms, thereby creating diverse, automatically generated artificial intelligence application services.
NVIDIA Inception is a global program that has assisted more than 18000 startups. Qualified members will be able to accelerate their use of Google Cloud infrastructure and accumulate Google Cloud credits. Startups focused on the development of artificial intelligence technology can receive up to $350000 worth of cloud credits, which can be used for NVIDIA DGX Cloud services.
Participants in the Google for Startups Cloud program can also join the NVIDIA Inception program, gaining technical expertise, credits for NVIDIA Deep Learning Institute courses, and access to NVIDIA hardware and software resources. Qualified members of the Google for Startups Cloud program can also participate in NVIDIA Inception Capital Connect, connecting startups with venture capital firms interested in the field and potentially securing follow-on investment opportunities.
Since startups often face cost constraints, especially when developing AI applications that require greater investment, assistance from Google and NVIDIA plans will help accelerate the growth of various AI applications.
In addition to helping startups accelerate their investment in AI technology and strengthening cloud collaborative computing and AI infrastructure configuration, NVIDIA is also collaborating with Google to deploy its open model Gemma on the NVIDIA AI platform and leveraging the NVIDIA TensorRT-LLM open source library of large-scale natural language models to accelerate Gemma's performance when running on NVIDIA GPUs.
NVIDIA NIM microservices are built on the Google Kubernetes Engine (GKE) container platform, enabling developers and enterprises to build and deploy artificial intelligence application services more quickly.
