By NewsBlogger Nvidia unveiled the GB200 Grace Blackwell Superchip at the GTC conference, showcasing its impressive performance increase for large language model inference workloads, with collaborations with AWS, Google, Microsoft, Oracle, SAP, IBM Consulting, Snowflake, and various data platform providers, while Omdia’s analysis revealed a significant acceleration in the adoption of generative AI by enterprises in 2023, particularly in industries such as information technology, healthcare, financial services, business services, retail, media, and entertainment.
At a glance
- Nvidia unveiled the GB200 Grace Blackwell Superchip at the GTC conference
- The Superchips offer up to 30 times performance increase for large language model inference workloads
- Nvidia collaborates with AWS, Google, Microsoft, Oracle, SAP, IBM Consulting, and Snowflake for various integrations
- Generative AI adoption by enterprises has significantly accelerated in 2023
- King’s AI research has revolutionized automated level creation in Candy Crush Saga, resulting in $20 billion in revenue
The details
Nvidia made a significant announcement at the GTC conference, unveiling the GB200 Grace Blackwell Superchip.
This superchip boasts an impressive performance increase of up to 30 times for large language model inference workloads.
Nvidia also highlighted developments in various sectors such as automotive, robotics, omniverse, and healthcare during the conference.
In collaboration with AWS
Nvidia is set to offer the Blackwell platform on EC2 instances.
Additionally, Google is integrating Nvidia’s Grace Blackwell platform and NIM microservices into its cloud infrastructure.
Microsoft has confirmed plans to incorporate NIM microservices and Grace Blackwell into Azure, along with utilizing Nvidia’s Clara suite of microservices and DGX Cloud in the healthcare sector.
Furthermore, Oracle intends to leverage the computing power of the Grace Blackwell platform
across OCI Supercluster and OCI Compute instances.
SAP is integrating generative AI into its cloud solutions in partnership with Nvidia.
IBM Consulting is combining its technology and industry expertise with Nvidia’s AI Enterprise software stack.
Snowflake has expanded its partnership with Nvidia to integrate with NeMo Retriever.
Various data platform providers, including Box, Dataloop, Cloudera, Cohesity, Datastax, and NetApp, are also planning to utilize Nvidia microservices.
Omdia’s analysis of data from its Enterprise AI Contracts Database revealed that enterprises’ adoption of generative AI has significantly accelerated in 2023.
Contracts involving generative AI surged from 7% in the first half of 2023 to 38% in the second half.
The number of contracts specifying generative AI increased from one in 2022 to 96 in 2023. Notably, the inclusion of generative AI in contracts indicates a growing acceptance of the technology among enterprises.
Industries showing a strong interest in adopting generative AI include information technology, healthcare, financial services, business services, retail, media, and entertainment.
Virtual assistants emerged as a prominent use case, followed by intelligent process automation.
Other identified use cases for generative AI in contracts encompass sports video and stats analytics, automated report generation, and personalized marketing.
At the Game Developers Conference, King’s product and research directors discussed how AI has revolutionized automated level creation in Candy Crush Saga.
The company has invested in A/B testing and high-speed AI level testing to enhance player experience, resulting in Candy Crush Saga generating $20 billion in revenue and five billion downloads since its inception in 2012. Sahar Asadi, director of AI Labs at King, has been focusing on applied research for the past five years, with experience at Spotify and Meltwater.
Asadi’s core project area at King revolves around gameplay testing and level management automation using AI. AI capabilities enable testing of level enjoyment, frustration, and quality, facilitating faster iterations for designers.
Researchers are exploring how generative AI can aid designers in enhancing the gameplay experience.
Asadi is particularly interested in the future of AI in gaming and playtesting.
King continues to tackle complex challenges with AI research, leveraging both external AI services and growing in-house capabilities to cater to the diverse player base with varying skill sets and preferences.
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| venturebeat.com |
|---|
| – Nvidia announced the GB200 Grace Blackwell Superchip at the GTC conference |
| – The chip promises up to 30 times performance increase for large language model inference workloads – Nvidia shared developments in automotive, robotics, omniverse, and healthcare at the conference – Nvidia is partnering with AWS to offer the Blackwell platform on EC2 instances – Google is bringing Nvidia’s Grace Blackwell platform and NIM microservices to its cloud infrastructure – Microsoft confirmed plans to add NIM microservices and Grace Blackwell to Azure – Microsoft will use Nvidia’s Clara suite of microservices and DGX Cloud in healthcare – Oracle plans to leverage the Grace Blackwell computing platform across OCI Supercluster and OCI Compute instances – SAP is integrating generative AI into its cloud solutions with Nvidia – IBM Consulting is combining its technology and industry expertise with Nvidia’s AI Enterprise software stack – Snowflake expanded its partnership with Nvidia to integrate with NeMo Retriever – Other data platform providers like Box, Dataloop, Cloudera, Cohesity, Datastax, and NetApp plan to use Nvidia microservices |
| aibusiness.com |
|---|
| – Generative AI adoption by enterprises accelerated significantly in 2023 – Omdia analyzed data from its Enterprise AI Contracts Database – Contracts involving generative AI surged from 7% in the first half of 2023 to 38% in the second half – Number of generative AI-specified contracts increased from one in 2022 to 96 in 2023 – Inclusion of generative AI in contracts suggests enterprises are adopting the technology – Vendors introduced new generative AI products, while end-users demonstrated use cases – Industries with strong interest in adopting generative AI include information technology, health care, financial services, business services, retail, media, and entertainment – Virtual assistants had the most prominent use case followed by intelligent process automation – Other generative AI use cases identified in contracts included sports video and stats analytics, automated report generation, and personalized marketing |
| venturebeat.com |
|---|
| – King product and research directors spoke at the Game Developers Conference about how AI transformed automated level creation in Candy Crush Saga – King has invested in A/B testing and high-speed AI level testing to enhance player experience – Candy Crush Saga has reached $20 billion in revenue and five billion downloads since its debut in 2012 – Sahar Asadi has been director of AI Labs at King for five years, focusing on applied research – Asadi has experience as a Data Scientist for Spotify and Research Scientist at Meltwater – Asadi’s core project area at King has been around gameplay testing and level management and automation using AI – AI can test level enjoyment, frustration, and quality, allowing designers to iterate faster – AI aims to eliminate tedious work and free humans to be creative – Researchers are looking at how generative AI can assist designers in improving gameplay experience – Asadi is interested in the future of AI in gaming and playtesting – King is cracking more complex problems with AI research – King taps into outside services for AI, but also grows in-house capabilities – King has diverse types of players with different skill sets and preferences, studying how to incorporate that into solutions. |
