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Quantum artificial intelligence startup SandboxAQ announced the successful completion of its Series E funding round, raising $450 million. This round attracted investment from industry giants including Google, Nvidia, and BNP Paribas, bringing SandboxAQ's total funding to $950 million. The company stated that the funds will be used to accelerate the development of its large quantum models and foster collaborations across various industries. Image note: Image generated by AI, image licensing provider Midjourney.

NVIDIA, a global leader in chip and AI technology, recently launched a groundbreaking new open-source large language model, Llama 3.1 Nemotron Ultra 253B, generating significant excitement within the AI community. Built upon Meta's Llama-3.1-405B, this model boasts innovative optimizations that surpass competitors like Llama 4 Behemoth and Maverick in performance, while demonstrating superior resource efficiency and exceptional multi-tasking capabilities.

On April 8th, 2025, NVIDIA launched Llama 3.1 Nemotron Ultra 253B, an open-source model optimized from Llama-3.1-405B. With 25.3 billion parameters, it surpasses Meta's Llama 4 Behemoth and Maverick, becoming a focal point in the AI field. This model demonstrates superior performance in benchmarks such as GPQA-Diamond, AIME 2024/25, and LiveCodeBench, achieving inference throughput comparable to DeepSeek.

According to The Information, Nvidia is on the verge of acquiring Lepton AI, a prominent AI startup, in a deal reportedly worth hundreds of millions of dollars. This move signals Nvidia's aggressive push into the cloud computing and enterprise software market, aiming to compete with major cloud providers like Amazon and Google. Founded two years ago by renowned scientist Yangqing Jia and his team, Lepton AI focuses on building new infrastructure for the AI era, simplifying the building and deployment of AI models. Unlike many startups...

Reports suggest that Nvidia, the global semiconductor giant, is nearing a deal to acquire the startup Lepton AI for potentially hundreds of millions of dollars. Founded two years ago, Lepton AI focuses on leasing servers equipped with Nvidia AI chips to other businesses. According to The Information, the deal is progressing rapidly, although Nvidia has yet to officially comment.

Elon Musk's xAI is collaborating with Nvidia, Microsoft, and BlackRock to significantly increase investment in artificial intelligence infrastructure. This partnership aims to accelerate advancements and development in the field of AI.

Former Intel CEO Pat Gelsinger recently criticized Nvidia's pricing strategy for its AI GPUs on the Acquired podcast during Nvidia's 2025 GPU Technology Conference, arguing that the high cost makes them unsuitable for large-scale AI inference tasks. Gelsinger highlighted that inference is crucial for deploying AI models and that the industry should focus more on inference, a domain where Nvidia's technology falls short in terms of cost-effectiveness. Image source omitted.

Bloomberg, citing sources, reports that Ant Group has made a significant breakthrough in AI, reducing AI model training costs by 20% using chips from Alibaba and Huawei. This injects new momentum into China's drive for technological self-reliance. The report further indicates that Ant Group's internal tests show these Chinese-made AI chips rival Nvidia's offerings in performance. Widespread validation and adoption of this could significantly alter the global AI landscape.

Nvidia, the leading AI chipmaker, has reportedly acquired San Diego-based startup Gretel, a company specializing in a platform for generating synthetic AI training data. Wired reports the acquisition was a nine-figure deal, exceeding Gretel's recent $320 million valuation, though specific terms remain undisclosed. Founded in 2019 by Alex Watson and Laszl...

HPC-AI Tech recently announced Open-Sora 2.0, a groundbreaking video AI system achieving commercial-grade quality at approximately one-tenth the typical training cost. This represents a potential paradigm shift in the resource-intensive field of video AI, mirroring efficiency gains seen in language models. While existing high-quality video generation systems like Movie Gen and Step-Video-T2V can cost millions of dollars to train, Open-Sora 2.0 offers a significantly more affordable alternative.

According to Bloomberg, OpenAI is making a massive investment in its first infrastructure project, dubbed "Stargate," with an estimated cost of $100 billion. The project's first data center complex, located in the small Texas town of Abilene, is planned to house up to 400,000 powerful Nvidia AI chips. Once fully operational, it will be one of the world's largest AI computing centers. Image Note: Image generated by AI, image licensing service Midjourney.

Nvidia has introduced Dynamo, a new software designed to significantly accelerate the performance of its DeepSeek AI technology, promising a 30-fold speed increase.