Research Notes
Research Note: IBM Q2 2024 Earnings
IBM reported a robust second quarter, surpassing expectations across key financial metrics. The company continues to capitalize on its hybrid cloud and AI strategy, driving solid performance in software and infrastructure. However, consulting services experienced slower growth due to macroeconomic challenges.
Research Note: Meta Llama 3.1
Meta recently released its new Llama 3.1 large language model, setting a new benchmark for open-source models. This latest iteration of the Llama series enhances AI capabilities while underscoring Meta’s continuing commitment to democratizing advanced technology. Along with the updated model, Meta also released a new suite of ethical AI tools.
Research Note: NVIDIA AI Factory & NIM Inference Microservices
NVIDIA announced its new NVIDIA AI Foundry, a service designed to supercharge generative AI capabilities for enterprises using Meta’s just-released Llama 3.1 models, along with its new NIM Inference microservices.
The new offerings significantly advance the ability to customize and deploy AI models for domain-specific applications.
Research Note: NTT Data’s New AI Edge Platform
NTT Data unveiled its new Edge AI platform, which aims to accelerate IT/OT convergence by bringing AI processing to the edge. The fully managed solution enables real-time decisions, enhances operational efficiencies, and deploys secure AI applications across various industries, driving the adoption of advanced Industry 4.0 technologies.
Research Note: Mistral NeMo 12B Small Language Model
Mistral AI and NVIDIA launched Mistral NeMo 12B, a state-of-the-art language model for enterprise applications such as chatbots, multilingual tasks, coding, and summarization. The collaboration combines Mistral AI’s training data expertise with NVIDIA’s optimized hardware and software ecosystem, offering high performance across diverse applications.
Research Note: NetApp Updates Cloud Offerings
NetApp announced new capabilities designed for strategic cloud workloads, including GenAI and VMware, to help reduce the resources and risks for managing these workloads in hybrid multi-cloud environments.