AI news for: Nvidia
Explore AI news and updates focusing on nvidia for the last 7 days.
NVIDIA Blackwell Leads on SemiAnalysis InferenceMAX v1 Benchmarks
SemiAnalysis recently launched InferenceMAX v1, a new open source initiative that provides a comprehensive methodology to evaluate inference hardware....
TL;DR
Key Takeaways:
- 15x performance gain over the Hopper generation
- 15x revenue opportunity for AI factories
- Continuous software optimizations deliver boost in performance over time
Accelerate Qubit Research with NVIDIA cuQuantum Integrations in QuTip and scQubits
NVIDIA cuQuantum is an SDK of libraries for accelerating quantum simulations at the circuit (digital) and device (analog) level. It is now integrated ...
TL;DR
Key Takeaways:
- Achieves a 4000x speedup from CPU to an 8x GPU node for transmon-resonator systems with the new qutip-cuquantum plugin.
- Supports scaling of simulations to much larger Hilbert spaces with multi-GPU and multi-node capabilities, enabling study of more complex quantum systems.
- Enables researchers to explore more complex composite qubit systems and develop new quantum devices with improved coherence times and performance.
Nvidia sells tiny new computer that puts big AI on your desktop - Ars Technica
Nvidia sells tiny new computer that puts big AI on your desktop Ars TechnicaNVIDIA DGX Spark Arrives for World’s AI Developers NVIDIA NewsroomNvidia’s...
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Key Takeaways:
- The DGX Spark can handle up to 200 billion parameters for local AI tasks, including running larger open-weights language models and media synthesis models.
- The system includes 128GB of shared memory between system and GPU tasks, allowing for larger AI model sizes.
- The pricing of the DGX Spark starts at $4,000, making it potentially more cost-effective than high-end GPUs and AI server GPUs.
Related:
Nvidia’s ‘personal AI supercomputer’ goes on sale October 15th
NVIDIA DGX Spark Arrives for World’s AI Developers - NVIDIA Newsroom
Elon Musk Gets Just-Launched NVIDIA DGX Spark: Petaflop AI Supercomputer Lands at SpaceX - NVIDIA Blog
Unlock Faster, Smarter Edge Models with 7x Gen AI Performance on NVIDIA Jetson AGX Thor
AMD Says Oracle Is Committing to Widespread Use of New AI Chips
Advanced Micro Devices Inc., Nvidia Corp.’s nearest rival in AI processors, said Oracle Corp. will deploy a large batch of its forthcoming MI450 chips...
Nvidia’s AI empire: A look at its top startup investments
Over the last two years, Nvidia has used its ballooning fortunes to invest in over 100 AI startups. Here are the giant semiconductor's largest investm...
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Key Takeaways:
- Nvidia has invested in 50 venture capital deals so far in 2025, exceeding its investments in 2024.
- Notable investments include startups such as Wayve ($1.05B), Figure AI ($1B+), and Mistral AI ($2B+).
- Nvidia has also invested in a wide range of industries beyond traditional AI, including nuclear fusion-energy (Commonwealth Fusion) and autonomous trucking (Waabi).
Following $5B Investment from NVIDIA, Intel to Launch New AI Inference Chip Crescent Island in 2026
Intel announced a new artificial intelligence chip for the data center that it plans to launch next year, in a renewed push to break into the AI chip ...
News | BlackRock, Nvidia lead AI data center deal valued at $40 billion - CoStar
News | BlackRock, Nvidia lead AI data center deal valued at $40 billion CoStar...
Oracle Cloud to deploy 50,000 AMD AI chips, signaling new Nvidia competition - CNBC
Oracle Cloud to deploy 50,000 AMD AI chips, signaling new Nvidia competition CNBC...
Exclusive: Broadcom to launch new networking chip, as battle with Nvidia intensifies - Reuters
Exclusive: Broadcom to launch new networking chip, as battle with Nvidia intensifies Reuters...
OpenAI partners with Broadcom to produce its own AI chips
OpenAI is teaming up with Broadcom to produce its own computer chips to power its AI data centers. The deal is the latest in a series of partnerships ...
TL;DR
Key Takeaways:
- OpenAI will develop and deploy '10 gigawatts of custom AI accelerators' using its own chips and systems.
- The partnership with Broadcom is expected to start deploying equipment in the second half of 2026 and finish by the end of 2029.
- This deal is part of a growing movement in the tech industry to create custom chips and reduce reliance on Nvidia's AI chips.
Related:
AMD teams up with OpenAI to challenge Nvidia’s AI chip dominance
OpenAI and Broadcom partner on AI hardware
Microsoft Azure delivers the first large scale cluster with NVIDIA GB300 NVL72 for OpenAI workloads
The post Microsoft Azure delivers the first large scale cluster with NVIDIA GB300 NVL72 for OpenAI workloads appeared first on Source....
TL;DR
Key Takeaways:
- The cluster features 4,600 NVIDIA GB300 NVL72, connected through NVIDIA InfiniBand network, and will deliver high-throughput inference workloads.
- This will enable model training in weeks instead of months and support training models with hundreds of trillions of parameters.
- The massive scale clusters will be deployed across Microsoft's AI datacenters globally, setting a new standard for accelerated computing.
Build a Log Analysis Multi-Agent Self-Corrective RAG System with NVIDIA Nemotron
Logs are the lifeblood of modern systems. But as applications scale, logs often grow into endless walls of text—noisy, repetitive, and overwhelming. H...
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Key Takeaways:
- The solution can be used by various teams such as QA, Engineering, DevOps, CloudOps, and Platform/Observability managers to quickly pinpoint issues and improve productivity.
- The system combines a retrieval-augmented generation (RAG) pipeline with a graph-based multi-agent workflow to unify heterogeneous log streams and surface the most relevant snippets.
- The solution can be extended into other areas such as bug reproduction automation, observability dashboards, and cybersecurity pipelines, reducing mean time to resolve (MTTR) and improving developer productivity.
OpenAI's ChatGPT is so popular that almost no one will pay for it - theregister.com
OpenAI's ChatGPT is so popular that almost no one will pay for it theregister.comOpenAI would have to spend over $1 trillion to deliver its promised c...
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Key Takeaways:
- OpenAI's net loss for the first half of 2023 was $13.5 billion, while its revenue was $4.3 billion.
- Only 5% of ChatGPT's 800 million users pay for subscriptions, with the majority of revenue coming from a small fraction of users.
- OpenAI aims to double its paying customer base, but faces challenges in achieving profitability with its current revenue streams.
Agentic AI Unleashed: Join the AWS & NVIDIA Hackathon
Build the next generation of intelligent, autonomous applications. This isn't just a hackathon—it's your chance to unleash the power of agentic AI and...
Improve Variant Calling Accuracy with NVIDIA Parabricks
Built for data scientists and bioinformaticians, NVIDIA Parabricks is a scalable genomics software suite for secondary analysis. Providing GPU-acceler...
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Key Takeaways:
- Parabricks v4.6 offers over 8x speedup in STAR quantification compared to CPU-only solutions on two NVIDIA RTX PRO 6000 GPUs.
- DeepVariant with pangenome-aware mode reduces errors by up to 25.5% across all settings compared to linear-referenced-based DeepVariant.
- Giraffe and DeepVariant combination provides a 14x speedup in runtime compared to CPU-only Giraffe and DeepVariant with pangenome-aware mode on four NVIDIA RTX PRO 6000 GPUs.
Exclusive: AI lab Lila Sciences tops $1.3 billion valuation with new Nvidia backing - Reuters
Exclusive: AI lab Lila Sciences tops $1.3 billion valuation with new Nvidia backing Reuters...
Why is Nvidia, the world’s leading AI chipmaker, entangled in the US-China trade war? - CNN
Why is Nvidia, the world’s leading AI chipmaker, entangled in the US-China trade war? CNNChina's lesson for the US: it takes more than chips to win th...
TL;DR
Key Takeaways:
- Nvidia's success has contributed to a surge in demand for its AI chips, but the company's technology has also been used as a negotiating tool in US-China trade tensions.
- The US government has sought to restrict Chinese access to American technology, including Nvidia's chips, to slow Beijing's progress on AI and maintain the US lead.
- Restricting sales of American AI chips could ultimately enable Chinese developers to create their own alternatives, according to Nvidia CEO Jensen Huang.
Related:
How China is challenging Nvidia's AI chip dominance - BBC
A Mystery C.E.O. and Billions in Sales: Is China Buying Banned Nvidia Chips? - The New York Times
My New Developer Workstation: NVIDIA DGX Spark
When NVIDIA asked if we wanted to test the new DGX Spark as a daily driver, I said yes immediately....
NVIDIA Researchers Propose Reinforcement Learning Pretraining (RLP): Reinforcement as a Pretraining Objective for Building Reasoning During Pretraining
NVIDIA AI has introduced Reinforcement Learning Pretraining (RLP), a training objective that injects reinforcement learning into the pretraining stage...
Tabby Invests in NVIDIA HGX Systems to Power Advanced AI Infrastructure - FF News | Fintech Finance
Tabby Invests in NVIDIA HGX Systems to Power Advanced AI Infrastructure FF News | Fintech Finance...
Community talk
Nvidia breakthrough gives 4-bit pretraining technique the accuracy of FP8
NVIDIA DGX Spark – A Non-Sponsored Review (Strix Halo Comparison, Pros & Cons)
Nvidia and AMD aren't enough, OpenAI is designing its own chips now
Nvidia DGX Spark reviews started
We can now run wan or any heavy models even on a 6GB NVIDIA laptop GPU | Thanks to upcoming GDS integration in comfy
Nvidia CEO Jensen Huang: "Demand of AI computing has gone up substantially" in the last 6 months
gpt-oss20/120b AMD Strix Halo vs NVIDIA DGX Spark benchmark
Nvidia CEO Jensen Huang just hand delivered the Nvidia DGX Spark to Elon Musk at SpaceX today
What laptop would you choose? Ryzen AI MAX+ 395 with 128GB of unified RAM or Intel 275HX + Nvidia RTX 5090 (128GB of RAM + 24GB of VRAM)?