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Topic
GPUs and accelerators
131 stories in the last 90 days · 4 community threads
In short
This topic covers GPUs and other accelerators used to train and run AI models and for high-performance computing, and the servers, clusters, networks and cloud services built around them. Buyers care about availability, total cost including power and cooling, software support for their frameworks, and whether to buy, rent or reserve capacity.
Written by Techarda editors · Updated · How we work
Latest stories
The newest GPUs and accelerators stories from the last 90 days. Each one opens with our summary and a link to the original source.
HPC & Accelerated Compute
NVIDIA Runs Record Simulation of Fault-Tolerant Quantum Computing at Jülich Supercomputing Centre
NVIDIA today announced a record-breaking quantum computing simulation on JUPITER, Europe’s first exascale supercomputer, allowing researchers to fully explore and validate magic state cultivation, a leading approach to fault-tolerant quantum computing that requires 90% fewer qubits than previous methods.
HPC & Accelerated Compute
NVIDIA Advances Agentic Security for Media, From European Public Service Broadcasting to Global Content Production
At a creative industry event that took place today in Berlin, hosted in collaboration with Adobe, Bertelsmann, NVIDIA and UFA, the latest advancements in intelligent media were on display. Key to the news: the European Broadcasting Union (EBU) is collaborating with NVIDIA to expand its sovereign framework with cloud, open models and integration […]
HPC & Accelerated Compute
RTX Spark Ignites Global Celebration as New Windows PCs Arrive
NVIDIA RTX Spark laptops are now available, bringing NVIDIA Blackwell RTX graphics, up to 128GB of unified memory and the full NVIDIA AI platform to slim, premium Windows PCs. Starting at $2,399, laptops from ASUS, Dell, HP, Lenovo, Microsoft and MSI bring powerful local AI, content creation and gaming capabilities to a portable device, with […]
Cloud Infrastructure
Nemotron 3.5 Super VL model now available on Amazon SageMaker JumpStart
NVIDIA's Nemotron 3.5 Super VL is now available on Amazon SageMaker JumpStart, expanding the portfolio of foundation models available to AWS customers. This vision-language model from the Nemotron 3.5 family accepts images, video, and text as input and generates text, enabling customers to deploy multimodal AI solutions on AWS infrastructure. Nemotron 3.5 Super VL is designed for document…
Containers & Kubernetes
Day 0 support for Reflection’s Beam on Google Cloud: 5x faster perf with llm-d and NVIDIA Dynamo
Today, Reflection released Beam , its first open-weight model built to give developers, researchers, and enterprises open control and customization for frontier software engineering and long-horizon agentic tasks. Released under a permissive Apache 2.0 license with BF16 , FP8 , and NVFP4 checkpoints available at launch, Beam sets a new standard for inference efficiency in the 500B-parameter class…
Developer Tools
Junie Local Comes to the NVIDIA RTX Spark
Junie Local is supported on the NVIDIA RTX Spark from day one, and Windows support moves from experimental to stable. NVIDIA’s RTX Spark platform pairs a Blackwell RTX GPU with a Grace CPU to run larger local AI models in slim laptops and compact desktops. Junie Local leverages this hardware to bring local AI coding […]
HPC & Accelerated Compute
NVIDIA RTX Spark PCs Available Today: A New Beginning for Windows PCs
NVIDIA today announced the availability of NVIDIA RTX Spark™ laptops, bringing together RTX graphics and NVIDIA’s full-stack AI platform in slim, premium Windows PCs for accelerated creation, immersive gaming and powerful local AI, rolling out from ASUS, Dell, HP, Lenovo, Microsoft and MSI.
HPC & Accelerated Compute
Mercedes-Benz and NVIDIA Expand Strategic Partnership to Advance Safe Highly Automated Driving in the Next Decade
Mercedes-Benz and NVIDIA today announced that they will extend their strategic partnership to advance the next generation of automated driving systems.
Earlier in the last 90 days
- Get observability in your pocket with the Grafana mobile appGrafana Labs · 16 Oct 2026
- Arm at the OCP Global Summit 2026: How Arm AGI CPU is scaling agentic AI infrastructure from CPU to rackArm · 16 Oct 2026
- Volvo Cars and NVIDIA Expand Partnership to Advance Safe Automated DrivingNVIDIA · 16 Oct 2026
- Be There for the Beginning: Celebrate the Launch of NVIDIA RTX SparkNVIDIA · 16 Oct 2026
- Adobe and NVIDIA Expand Collaboration to Speed Agentic CreationNVIDIA · 16 Oct 2026
- How Visko streams real-time world models on Google Cloud TPUsGoogle Cloud · 16 Oct 2026
- Open From Data Center to Desktop: NVIDIA Expands Nemotron Family With Highest Efficiency Super VL and Bolt ModelsNVIDIA · 16 Oct 2026
- Dial Up the Cloud: NVIDIA DLSS 4.5 Controls Arrive on GeForce NOWNVIDIA · 16 Oct 2026
- NVIDIA Expands Advanced Technology Access for Europe’s Scientific Community Through Open Learning Resources, Collaborations and ComputeNVIDIA · 15 Oct 2026
- The Nordics and NVIDIA Show What’s Possible When a Region Commits to Advanced ComputingNVIDIA · 15 Oct 2026
- How Kubernetes DRA can improve GPU utilization and cut costsDatadog · 15 Oct 2026
- AWS HealthOmics expands container registry support for private workflowsAmazon Web Services · 15 Oct 2026
- Which Agent Sandbox Scales? NVIDIA OpenShell vs. Agent Substrate | Solo.ioSolo.io · 15 Oct 2026
- NVIDIA and Semiconductor Leaders Advance AI Across Chip Design and Manufacturing for AI-Defined FabsNVIDIA · 15 Oct 2026
- AWS HealthOmics introduces resource fallback order for Nextflow workflowsAmazon Web Services · 15 Oct 2026
- Dell Is Bringing the Full AI Stack to NVIDIA GTC Berlin 2026Dell Technologies · 15 Oct 2026
- From Enterprise to Earthshot: UK’s Ecosystem Moves From Ambition to Application With NVIDIANVIDIA · 14 Oct 2026
- NVIDIA Commits $250 Million to Advance UK Agentic Safety and Security Research Over the Next Five YearsNVIDIA · 14 Oct 2026
- European Cities Deploy NVIDIA-Powered AI Agents to Run Smarter Urban OperationsNVIDIA · 14 Oct 2026
- Lambda to integrate open-source NVIDIA Run:ai with its Managed Kubernetes ServiceLambda · 14 Oct 2026
- PaletteAI Integrates Open-Source NVIDIA Run:ai | Spectro CloudSpectro Cloud · 14 Oct 2026
- Mirantis k0rdent AI Integrates Open-Source NVIDIA Run:ai for Full-Stack NVIDIA DSX AI Factory OperationsMirantis · 14 Oct 2026
- Scaleway scales up to power Europe's AI ambitionsScaleway · 13 Oct 2026
- Scaleway Expands AI Infrastructure in Europe With New AMD Instinct GPU-Based Supercomputer in SwedenScaleway · 13 Oct 2026
- Scaleway announces new GPU Zone in Copenhagen powered by NVIDIA B300Scaleway · 13 Oct 2026
- All Systems Go: Global PC App Ecosystem Ready for NVIDIA RTX SparkNVIDIA · 13 Oct 2026
- NVIDIA Lands in Europe for GTC BerlinNVIDIA · 13 Oct 2026
- From Earth to Orbit, France’s Ecosystem Delivers Agentic Computing at Scale With NVIDIANVIDIA · 13 Oct 2026
- The next productivity curve: how physical AI could unlock a $100 trillion marketSiemens · 13 Oct 2026
- Amazon EC2 G7 instances now available in Europe (Frankfurt) and Europe (Stockholm) RegionsAmazon Web Services · 13 Oct 2026
- OCP Global Summit: Amid Ecosystem Adoption, NVIDIA Opens Vera Rubin Architecture to Help Scale AI Factories WorldwideNVIDIA · 13 Oct 2026
- Cisco and NVIDIA Announce USFP: Expanding the Path to AI ConnectivityCisco · 13 Oct 2026
- NVIDIA and Cisco Introduce New Pluggable Optics Form Factor to Scale AI FactoriesNVIDIA · 13 Oct 2026
- Into the Omniverse: How Developers Turn Ideas Into Simulations With Frontier AI AgentsNVIDIA · 9 Oct 2026
- NVIDIA Commits $1 Billion to Advance US Science Over the Next Five YearsNVIDIA · 9 Oct 2026
- Overcoming AI Supply-Chain Bottlenecks Isn’t Just About the ComputeEquinix · 8 Oct 2026
- NVIDIA, Microsoft Kick Off a New Beginning for Windows PCs with RTX Spark and AI AgentsNVIDIA · 8 Oct 2026
- Dell XPS 16 Creator Edition: Where NVIDIA RTX Spark™ Meets Premium DesignDell Technologies · 8 Oct 2026
- Why Telecom Operators Are Building Their AI Strategy on Open ModelsNVIDIA · 7 Oct 2026
- From Experiment to Enterprise: Scaling AI for Life Sciences with Lenovo and NVIDIALenovo · 6 Oct 2026
- PaletteAI Completes NVIDIA AI Cloud Ready Validation | Spectro CloudSpectro Cloud · 6 Oct 2026
- NVIDIA DGX Spark 64GB Gives Developers More Ways to Build and Scale Local AINVIDIA · 2 Oct 2026
- Building Production-ready AI Infrastructure? Start With the NetworkMegaport · 2 Oct 2026
- How NVIDIA GPUs Help Accelerate OpenAI’s GPT-6 Astra UltrafastNVIDIA · 2 Oct 2026
- Amazon DynamoDB Accelerator (DAX) is now available in additional RegionsAmazon Web Services · 2 Oct 2026
- Productive, Durable, Fungible: How NVIDIA AI Factories Maximize Return on InvestmentNVIDIA · 1 Oct 2026
- Amazon WorkSpaces Core Managed Instances adds support for NVIDIA Blackwell GPUAmazon Web Services · 1 Oct 2026
- Equinix at NVIDIA GTC Berlin 2026Equinix · 1 Oct 2026
- NVIDIA Opens Applications for 2027-2028 Graduate Fellowships With Awards Up to $60,000NVIDIA · 1 Oct 2026
- From Training to Production, NVIDIA and CoreWeave Close the Loop on Agentic AINVIDIA · 1 Oct 2026
- NVIDIA Vera CPU Is Coming to CoreWeave: Pack In More AgentsCoreWeave · 30 Sept 2026
- Lenovo AI Express with NVIDIA Accelerates Path to Hybrid AI Factory in WeeksLenovo · 30 Sept 2026
Showing the newest 60 of 131. The feed archive lists every story by month.
What practitioners are discussing
Stories say what companies announced. These threads are where people who work with GPUs and accelerators compare notes.
New
How are you getting GPU capacity for AI in 2026?
Reserved cloud capacity, neoclouds, on-prem clusters, shared internal pools? What are lead times and utilisation like?
New
How are you preparing the network for AI workloads?
East-west bandwidth, GPU cluster fabrics, data movement between sites: what has changed in your network plans?
New
Liquid cooling: are you retrofitting data centres or waiting?
For teams planning dense GPU racks, what is the realistic path for your facilities?
Companies in these stories
The active companies with the most GPUs and accelerators stories in the last 90 days. It counts news coverage, not quality, market share or fit for your needs.
Related categories
Where GPUs and accelerators sits among the categories Techarda covers. Each hub shows who is active, and each guide sets out how to evaluate vendors.
Terms to know
Plain definitions of terms that come up in GPUs and accelerators stories, from the Techarda glossary.
Frequently asked questions
Should we buy GPUs or rent them in the cloud?
Renting suits uncertain or bursty demand and avoids long lead times and facility work. Buying or reserving long term can cost less at steady, high utilisation, if you have the power, cooling and skills to run it.
Why does networking matter for GPU clusters?
Training large models spreads work across many GPUs that exchange data constantly, so slow or congested links leave expensive GPUs waiting. Cluster designs pay as much attention to the network as to the chips.
Do we need the newest GPUs for inference?
Often not. Many inference workloads run well on earlier generations or smaller accelerators, especially with optimised or smaller models. Measure cost per request on your own models before deciding.
Stories are filed under topics automatically from their headline and summary, so the odd one may sit in the wrong place. Spotted one, or a topic we should add? Email engage@techarda.com. All topics.