Hewlett Packard Enterprise (NYSE: HPE) announced the HPE ProLiant Compute XD685 for complex AI model training tasks, powered by 5th Gen AMD EPYC™ processors and AMD Instinct™ MI325X accelerators. The new HPE system is optimized to quickly deploy high-performing, secure and energy efficient AI clusters for use in large language model training, natural language processing and multi-modal training.
HPE Launches New Purpose-built Solutions – Powered by AMD – to Accelerate Training for Large, Complex AI Models
October 11, 2024 by
AMD Unveils 5th Gen EPYC, Instinct MI325X & More at Advancing AI 2024
October 10, 2024 by
Today at the Advancing AI event in San Francisco, AMD announced the latest AI and high-performance computing solutions, including the 5th Gen AMD EPYC and AMD Instinct MI325X accelerators and processors, alongside leading customers and partners including Microsoft, OpenAI, Meta, Oracle, Google Cloud and more.
Cloudera Expands Industry-Leading Enterprise AI Ecosystem with New Partners
October 10, 2024 by
Cloudera, a hybrid platform for data, analytics, and AI, today announced the expansion of its Enterprise AI Ecosystem during its annual data and AI conference, EVOLVE24 New York. This initiative brings together a diverse group of industry-leading AI providers to deliver comprehensive, end-to-end AI solutions for customers that help to maximize the value of AI.
AI Hardware & Edge AI Summit Rebrands as AI Infra Summit and Expands Scope to Enterprise AI
October 10, 2024 by
The AI Hardware & Edge AI Summit, a prestigious Silicon Valley tech conference that has long served the semiconductor and IT infrastructure industries, will return in 2025 as the AI Infra Summit.
GenAI – How Enterprises Can Move Beyond Code Generation to Achieve Real Value
October 9, 2024 by
The arrival of GenAI has put immense pressure on software development organizations. According to a new Bain & Company report, “Beyond Code Generation: More Efficient Software Development,” GenAI appears to save about 10-15% of total software engineering time today — but improvements of 30% or more are possible.
Teradata Makes Real-World GenAI Easier, Speeds Business Value
October 9, 2024 by
Teradata (NYSE: TDC) announced new capabilities for VantageCloud Lake and ClearScape Analytics that make it possible for enterprises to easily implement and see immediate ROI from generative AI (GenAI) use cases.
At 2024 AI Hardware & Edge AI Summit: Elio Van Puyvelde, CIO, Nscale
October 8, 2024 by
At the recent 2024 AI Hardware & Edge AI Summit in San Jose, Calif., I caught up with Elio Van Puyvelde, CIO, Nscale, the hyperscaler engineeried for AI where you can access thousands of GPUs tailored to your requirements using the Nscale AI cloud platform.
Domino Data Lab Transforms AI Governance from Innovation Tax into Value Driver
October 8, 2024 by
Domino Data Lab, provider of the leading Enterprise AI Platform trusted by the largest AI-driven companies, today announced Domino Governance, a new solution for mitigating AI’s risks while accelerating its rewards. Its unique approach automatically orchestrates the fully governed model lifecycle.
Pramata and Deloitte Help Clients Apply Generative AI to Contract Analytics
October 7, 2024 by
Pramata, a leading end-to-end contract management platform, announced a new strategic alliance with Deloitte. The organizations’ mutual clients can leverage Pramata’s simple, Generative AI-powered contract management and analytics solution with Deloitte’s corporate Risk, Regulatory, and Forensic advisory services to increase visibility into contract data and hierarchies that can span multiple systems and business units.
Cloudflare Enhances AI Inference Platform with Powerful GPU Upgrade, Faster Inference, Larger Models, Observability, and Upgraded Vector Database
October 5, 2024 by
Cloudflare, Inc. (NYSE: NET), a leading connectivity cloud company, announced powerful new capabilities for Workers AI, the serverless AI platform, and its suite of AI application building blocks, to help developers build faster, more powerful and more performant AI applications. Applications built on Workers AI can now benefit from faster inference, bigger models, improved performance analytics, and more.
