Foundations by Axented
Google launches Gemini 3.1 Pro, OpenAI funding round nears record $100B raise, AI chip startup Taalas raises $169m, Nvidia Secures Major AI Hardware Partnership with Meta
Table of Contents:
AI | Artificial Intelligence
AGI achievable in the next 5-8 years, says Google DeepMind’s co-founder and CEO
Google launches Gemini 3.1 Pro
VC | Startup & Funding
OpenAI funding round nears record $100B raise, valuation targets $850B
AI chip startup Taalas raises $169m, unveils HC1 processor optimized for Llama 3.1 8B
HI | Hardware & Infrastructure
Micron invests $200 billion to overcome memory chip shortages in the AI era
Nvidia Secures Major AI Hardware Partnership with Meta
AGI achievable in the next 5-8 years, says Google DeepMind’s co-founder and CEO
Google DeepMind co-founder and CEO Demis Hassabis said artificial general intelligence could be achieved within five to eight years, citing rapid advances in large language models and multimodal systems.
He noted that current systems already demonstrate reasoning and problem-solving abilities that were once considered distant goals.
Hassabis emphasized the need for robust governance and safety frameworks alongside technical progress to manage risks associated with increasingly capable AI systems.
He added that collaboration between governments, industry, and academia will be essential as development accelerates.
Source: Businessline
Google launches Gemini 3.1 Pro
Google introduced Gemini 3.1 Pro, describing it as its most advanced AI model to date with improvements in reasoning, coding, and multimodal understanding.
The company said the model delivers stronger performance across benchmarks while offering more reliable outputs and longer context handling.
It is designed for enterprise and developer use cases, with enhancements aimed at complex problem-solving and large-scale deployment.
Google also highlighted ongoing efforts to improve safety, efficiency, and cost optimization for users.
Source: Google
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OpenAI funding round nears record $100B raise, valuation targets $850B
OpenAI is reportedly nearing a funding round that could raise up to $100 billion and value the company at around $850 billion, according to people familiar with the matter.
The prospective deal would rank among the largest private capital raises in history and reflects strong investor demand for AI infrastructure and applications.
The report indicates that major institutional investors and technology partners are in discussions to participate.
The fundraising effort comes as OpenAI expands its product offerings and invests heavily in computing capacity and research.
Source: Blocknow
AI chip startup Taalas raises $169m, unveils HC1 processor optimized for Llama 3.1 8B
Taalas has raised $169 million in funding and introduced its HC1 processor, designed specifically to run Meta’s Llama 3.1 8B model efficiently.
The company said its architecture is optimized for inference workloads, aiming to reduce power consumption and improve performance compared with general-purpose GPUs.
Taalas positions its chip as a cost-effective alternative for enterprises deploying open-source large language models.
The funding will support further development and scaling of its hardware platform.
Source: DatacenterDynamics
Micron invests $200 billion to overcome memory chip shortages in the AI era
Micron Technology announced plans to invest $200 billion to expand memory chip production in response to surging demand driven by artificial intelligence.
The investment will fund new fabrication facilities and upgrades to existing plants, primarily in the United States, as part of efforts to strengthen domestic semiconductor manufacturing.
Micron said advanced memory products such as high-bandwidth memory are critical to AI data centers and next-generation computing.
The move reflects broader industry efforts to address supply constraints and secure long-term capacity.
Source: Ageniza Nova
Nvidia Secures Major AI Hardware Partnership with Meta
Nvidia has secured a significant AI hardware partnership with Meta to supply advanced GPUs for large-scale artificial intelligence workloads.
The agreement strengthens Nvidia’s position as a leading provider of AI accelerators amid intensifying demand from major technology firms.
Meta is expected to use the hardware to support its expanding AI initiatives, including model training and inference at scale.
The partnership underscores continued investment by big tech companies in AI infrastructure.
Source: Ad Hoc News
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