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The Robot Report
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Image Credit: The Robot Report
AWS offers accelerated robotics simulation with NVIDIA
- NVIDIA and AWS are offering tools to accelerate the development of robotics, quantitative computing and AI.
- NVIDIA Isaac Sim, a reference application built on NVIDIA Omniverse, is now available on NVIDIA L40S GPUs in Amazon Elastic Cloud Computing (EC2) G6e instances.
- This enables developers to simulate and test AI-driven robots in physically based virtual environments, allowing roboticists to use these instances to train many computer vision models that power AI-driven robots.
- The same instances can also be used for data generation and simulation of model training, and teams can orchestrate complex robotics development workflows.
- Developers may use simulation to verify, validate and optimise robot design as well as systems and algorithms before deployment, the company said.
- Simulation reduces costly manufacturing and construction change orders by optimising facility and system designs.
- NVIDIA said Isaac Sim can help generate synthetic data for perception model training, easing the synthetic data generation process by reducing many tedious and manual steps.
- The NVIDIA DGX Cloud is now available on Amazon for training AI models, while NVIDIA BioNeMo has been integrated into AWS HealthOmics.
- Other NVIDIA announcements include integrating AI blueprints and the RAPIDS quick start notebooks on Amazon EMR.
- Developers could also use Isaac Lab, an open-source robot learning framework built on Isaac Sim, to build robot policy for AWS Batch that will be repeated and easily troubleshooted.
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Telecomtalk
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Image Credit: Telecomtalk
Nebius Raises USD 700 Million to Accelerate AI Infrastructure Expansion, Backed by Nvidia
- AI infrastructure company Nebius Group (Nebius) announced a private placement financing round, raising USD 700 million.
- Investors in the round include Nvidia, Accel, and certain accounts managed by Orbis Investments.
- The financing will support Nebius' plans to expand its AI infrastructure, including GPU clusters, data centers, and services for developers.
- The funds will also be used to support Nebius AI Studio, which offers machine learning services to app developers.
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Pcgamesn
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358
Image Credit: Pcgamesn
That huge rumored Nvidia GeForce RTX 4090 Ti graphics card just got tested
- Images of the rumored Nvidia GeForce RTX 4090 Ti graphics card have appeared online.
- The prototype of the RTX 4090 Ti has been shown working in recent images.
- The four-slot-wide cooler design indicates a powerful variant of the RTX 4090.
- Although the RTX 4090 Ti was not released, the benchmark leak generates excitement.
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Immersivelearning
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What is spatial computing, and how can engineers use it?
- Spatial computing is a mode of computation that makes inherent use of space, whether physical or virtual.
- Spatial computing encompasses several technologies on the reality-virtuality continuum, including VR, AR, MR, and XR.
- Engineers are using spatial computing for applications like viewing 3D models, virtual design reviews, factory layout planning, and worker ergonomics.
- Spatial computing technology is still nascent, and its full potential is yet to be realized.
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VentureBeat
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Image Credit: VentureBeat
What AI vendor should you choose? Here are the top 7 (OpenAI still leads)
- IT analyst firm GAI Insights offers the first known buyer’s guide to large language models (LLMs) and GAI, reviewing 29 vendors across common enterprise GAI use cases and identifying seven emerging leaders.
- OpenAI is still leading the pack as the industry is "splintering into sub-categories."
- The six other vendors identified by GAI are Deepset, Glean, IBM, LangChain, LlamaIndex and SambaNova.
- Vendors were rated based on various factors, including product and service innovation, quality of technical and management team experience, track record in launching products and partnerships, and defined target buyers.
- Nvidia continues to dominate the market share with 85% share, and will continue to offer products up and down the hardware and software stack.
- GAI Insights projects that Gen AI is the leading budget priority for CIOs and CTOs amidst a 240x drop in the cost of AI computation in the last 18 months, and expects 33% of companies to push models into production in 2025.
- The firm also noted a current trend toward proprietary large language models, as enterprises prioritize data privacy, control, and regulatory compliance. However, GAI Insights anticipates a boom in vertical-specific small language models emerging for specific use cases.
- The top use cases for Gen AI include customer support, summarization, text generation, coding, and contract management.
- AI agents have yet to be fully defined and those in deployment are confined to internal applications and small-scale deployments. GAI Insights noted many hurdles to overcome including, among others, unregulated spread, agentic AI making unreliable or questionable decisions.
- GAI Insights advises that, to get started with AI initiatives, enterprises should accept that the enterprise IT stack will continue to change drastically over the next 15 years and designate an executive to oversee integration, develop a center of excellence and coordinate projects.
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Analyticsindiamag
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Image Credit: Analyticsindiamag
AI Agents Without Label Redefine Semiconductors in India
- The semiconductor industry is leveraging AI agents to redefine chip design and verification workflows.
- Existing tools in the semiconductor industry already function similarly to AI agents, but they may not be referred to as such.
- Alpha Design AI, an AI startup, has developed an AI chip agent to accelerate chip design and verification processes.
- Digital twins and simulators are being widely adopted in the semiconductor industry to model chip processes.
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Insider
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Image Credit: Insider
Samsung, Jeff Bezos back Nvidia rival Tenstorrent in startup chipmaker's nearly $700 million funding round
- Tenstorrent, a startup computing company, has raised nearly $700 million in its latest funding round.
- The funding round values Tenstorrent at about $2.6 billion.
- Investors include Samsung, Bezos Expeditions, and LG Electronics.
- Tenstorrent aims to rival Nvidia by offering more affordable AI chips and processing.
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Pymnts
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Image Credit: Pymnts
Nvida Helps Cloud Computing Firm Nebius Raise $700 Million
- Dutch cloud computing company Nebius has raised $700 million from investors including Nvidia.
- The funding will support the expansion of the company's GPU clusters, specialized AI chips and cloud services.
- Nebius rebranded from Yandex and focuses on cloud computing services for AI operations.
- Major investors are funneling capital into AI technology, with CoreWeave, a competitor of Nebius, planning a $23 billion public listing.
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Pymnts
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Image Credit: Pymnts
Construction Sector’s Digital Makeover Includes Easier Working Capital Access
- The construction sector accounts for about 4.4% of U.S. GDP and is tied to about $2.2 trillion in annualized spending.
- Construction spending in the U.S. was higher than expected, with 0.4% growth reported by the Commerce Department.
- Slow paper check payments cost subcontractors $273 billion, leading to increased use of personal savings for business purposes.
- Investments in technology and digital tools, such as automated accounts receivable and accounts payable processes, are improving cash flow for construction firms.
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Siliconangle
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Image Credit: Siliconangle
AI data center builder Nebius raises $700M in funding
- Nebius, an AI data center builder, has raised $700 million in funding through a private placement.
- The funding round included contributions from Nvidia Corp., Accel, Orbis Investments, and other backers.
- Nebius will use the capital to expand its data center capacity and optimize it for AI training and inference workloads.
- The company plans to triple the capacity of an existing data center in Finland and open three additional facilities in Europe and North America.
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Fourweekmba
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Why “World Models”Matter For The Next AI’s Phase?
- World Labs, led by Fei-Fei Li, is advancing the field of world models in AI.
- AI-generated interactive 3D scenes from single images are being developed, targeting gaming, film, and design applications.
- Key industries benefiting from this technology include gaming, film production, and design and simulation.
- World Labs aims to empower artists, developers, and engineers with realistic 3D world creation and simulation design tools.
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Siliconangle
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Image Credit: Siliconangle
Three insights you might have missed from SC24
- High-performance computing innovations are redefining the future of enterprise computing, pushing the boundaries of scalability, sustainability and innovation.
- AI-driven infrastructure is democratizing supercomputing, making advanced technologies accessible to enterprises of all sizes.
- Collaborative innovations drive sustainable AI scalability for modern workloads.
- Enterprises adopt flexible open systems, collaborations across the tech industry address power consumption and cost.
- High-performance computing innovations drive flexibility and intelligent solutions.
- Massive data processing with unparalleled efficiency is possible with exascale computing.
- Direct liquid cooling emerged as a critical solution to manage the intense heat generated by powerful CPUs and GPUs.
- Networking infrastructure must evolve to support high throughput and low-latency demands of AI workloads.
- AI’s scalability needs growing demands on energy and infrastructure through tailored solutions.
- Enterprises optimizing hardware, by embracing multi-vendor ecosystems with diverse solutions such as Advanced Micro Devices Inc. GPUs.
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Fourweekmba
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Image Credit: Fourweekmba
A New AI Chip Competitor Just Announced A Massive Founding Round with The Likes of Jeff Bezos
- Tenstorrent, a new competitor in the AI chip market, has announced a massive funding round of $700 million.
- Notable investors in Tenstorrent include Jeff Bezos, Samsung, LG Electronics, and Fidelity.
- The company is valued at $2.6 billion, positioning itself as a strong competitor to NVIDIA.
- Tenstorrent aims to disrupt the AI chip market by focusing on affordable and power-efficient chips that leverage open-source RISC-V technology.
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Pymnts
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Image Credit: Pymnts
AI Explained: The Fine Art of AI Optimization
- Major technology companies are focusing on AI optimization to improve performance and reduce computing costs.
- AI optimization involves refining complex software systems to run efficiently on smaller models and devices.
- Companies like Meta, Apple, and Google are deploying optimized AI models on various platforms, from data centers to pocket devices.
- Cloud providers, such as Microsoft and AWS, are offering specialized instances for running optimized AI workloads.
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Pcgamesn
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Image Credit: Pcgamesn
This Nvidia GeForce RTX 4090 gaming GPU repair video is incredibly satisfying
- A repair shop attempts to salvage a severely damaged Nvidia GeForce RTX 4090 gaming GPU.
- The owner had rendered the card nearly inoperable while trying to apply a voltage mod.
- Modding the already high-powered graphics card without proper training is not advisable.
- The repair video showcases the rescue mission by NorthWestRepair to restore the GPU.
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