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Medium
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7 Steps to Build an Effective AI Marketing Campaign.
- Tech giants are focused on developing their own AI chips to reduce reliance on Nvidia, which currently dominates the market.
- Meta Platforms unveiled its in-house AI chip 'Artemis' but continues to purchase Nvidia's H100 chips.
- Google introduced the 'Axion' chip to diversify its computing needs and reduce dependence on external vendors.
- Despite these developments, Nvidia maintains a strong market position in AI chip manufacturing.
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Silicon
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China Tells Telecom Carriers To Phase Out Foreign Chips – Report
- China has ordered its largest telecom carriers to phase out foreign chips in their networks by 2027.
- This move is seen as a response to the tightening chip export restrictions imposed by the United States.
- The US has banned the export of certain chips to China and revised export rules to limit China's access to US AI chips and chipmaking tools.
- China is increasingly switching to domestic chip options and aims to replace American processors with domestic chips for government and state computers.
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Immersivelearning
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Role of AR/VR in transforming education
- Augmented reality (AR) and virtual reality (VR) have transformed the education sector by adding value to the learning process.
- AR and VR have gamified the teaching-learning process, making it fun, exciting, and easy to understand.
- These technologies enable interactive and self-paced learning, with real-time feedback mechanisms.
- AR and VR also facilitate virtual field trips, allowing students to explore distant places and experience immersive simulations.
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Silicon
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UK Regulator Flags Competition Risks Of AI Foundation Models
- The UK Competition and Markets Authority (CMA) has expressed concerns about AI foundation models controlled by a small number of tech firms.
- The CMA has identified an interconnected web of over 90 partnerships and strategic investments involving firms like Google, Apple, Microsoft, Meta, Amazon, and Nvidia.
- CMA CEO Sarah Cardell highlighted the need to harness AI technology for the benefit of all while safeguarding against market power exploitation and unintended consequences.
- The CMA proposed seven guiding principles to ensure access, diversity, choice, fair dealing, transparency, and accountability in AI foundation models.
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Siliconangle
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Cohesity expands partnership with IBM, completes late-stage funding from IBM and Nvidia
- Data management provider Cohesity has expanded its partnership with IBM and completed a late-stage funding round.
- The funding round, which included IBM and Nvidia, will support the development of cyber resilience capabilities.
- IBM will offer Cohesity capabilities through IBM Storage Defender to address data breaches and increase cyber resilience.
- Cohesity's DataProtect will be integrated into IBM's Storage Defender to provide secured backup and recovery solutions.
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Siliconangle
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How L’Oreal is tapping generative AI to transform its marketing
- L’Oreal is using generative AI to transform its marketing and engage with customers.
- The company focuses on three key areas: science, technology, and creativity.
- They have a Generative AI Task Force and a GenAI Content Lab to explore applications and upskill employees.
- L’Oreal utilizes Nvidia's Omniverse platform for 3D modeling and contextual adjustments for marketing.
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Pymnts
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Tabs Secures $7 Million to Scale AI-Powered AR Platform
- Tabs has secured $7 million in seed funding to scale its artificial intelligence (AI) accounts receivable (AR) platform.
- The Tabs AI platform automates contract ingestion, invoicing, and payments, saving businesses time and reducing operational risks.
- Companies that have adopted the Tabs AI platform report a 40% reduction in time to collect and increased flexibility in pricing and sales models.
- The funding round was led by Lightspeed Venture Partners, bringing Tabs' total amount raised to $12 million.
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Pymnts
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Why It Seems Like Every AI Company is Making Their Own Chip
- Meta has launched its latest generation of custom computer chips to enhance its AI capabilities and minimize dependency on external suppliers like Nvidia.
- Intel has introduced its new AI chip, the Gaudi 3, which offers more than double the power efficiency and can process AI models one-and-a-half times faster than Nvidia's H100 GPU.
- Custom AI chips provide significant benefits, such as enhanced privacy and proprietary data control, allowing companies to steer their own AI futures.
- PC manufacturers, including Apple, are also starting to use AI-specific chips for their products.
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Arstechnica
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Intel’s “Gaudi 3” AI accelerator chip may give Nvidia’s H100 a run for its money
- Intel has unveiled its new AI accelerator chip, Gaudi 3, as an alternative to Nvidia's H100.
- Intel claims that Gaudi 3 offers 50% faster training time for large language models like GPT-3 and Llama 2 compared to Nvidia's H100.
- In terms of inference, Gaudi 3 delivers 50% faster performance than H100 for popular open-weights models.
- Intel is targeting the H100 due to its high market share, although Nvidia has more powerful AI accelerator chips in development.
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Medium
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CUDO Compute Boosts GPU Fleet: More NVIDIA A40s, A6000s and V100s Now Available to Power AI and HPC…
- NVIDIA A40 and A6000 GPUs are now available on-demand on the platform.
- The NVIDIA RTX A40 offers 37.4 teraflops of FP32 performance, 10,752 CUDA cores, and 336 Tensor Cores for deep learning.
- The NVIDIA RTX A6000 is a versatile GPU suitable for AI, HPC, and graphics-intensive applications, equipped with 10,752 CUDA cores and 48GB of GDDR6 memory.
- CUDO Compute has expanded its network with new strategic locations, including the fully operational us-losangeles-1 data center.
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TechBullion
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Nvidia Slips Into correction Territory As Stock Declines 10%
- Nvidia stock slips into correction territory, declining 10% from recent closing high.
- The company, known for making GPUs and server chips for AI applications, has benefited from the AI boom.
- Nvidia's financial performance has been strong, reporting a 486% jump in non-GAAP earnings per diluted share.
- Possible reasons for the stock decline include investors taking profit and competition from rival chipmaker Intel.
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Siliconangle
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Cohesity completes late-stage $150M funding from IBM and Nvidia, expands IBM partnership
- Data management provider Cohesity has completed its Series F funding round of $150 million, with participation from IBM and Nvidia.
- The extended partnership between Cohesity and IBM will focus on developing cyber resilience capabilities in hybrid cloud environments.
- IBM will offer Cohesity's DataProtect solution through IBM Storage Defender, its cyber resilience platform.
- The collaboration aims to provide comprehensive data protection against cyber threats and offer policy-based backup and recovery for various data sources.
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Analyticsindiamag
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NVIDIA Introduces Ruler to Measure the Context Length of Models
- NVIDIA researchers have developed RULER, a synthetic benchmark to evaluate long-context language models (LLMs) across various tasks.
- The evaluation revealed that all models experienced performance drops as the input length increased.
- Models trained with larger context sizes generally performed better on RULER.
- The study highlights the need for further research and improvement in long-context modeling.
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Macdailynews
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Apple supplier TSMC’s Q1 revenue rise beats market expectations
- Apple supplier TSMC reported a 16.5% rise in Q1 revenue, beating market expectations.
- The surge in demand for artificial intelligence applications has contributed to TSMC's sales boom.
- Q1 revenue reached T$592.64 billion ($18.54 billion), towards the higher end of TSMC's guidance.
- March revenue alone rose 34.3% YoY to T$195.21 billion.
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Tech Story
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Some Apple Vision Pro Users Face Physical Discomfort After Prolonged Use
- Some Apple Vision Pro users are experiencing physical discomfort after prolonged use.
- Users have reported issues such as black eyes, neck pain, headaches, eye strain, and backaches.
- Apple recommends taking breaks every 20 to 30 minutes and halting use if any discomfort arises.
- The Vision Pro's design, weight, and immersive interface pose challenges for users in professional settings.
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