Software Engineer - Virtual Vocations

To support innovative software solutions, the contract Software Engineer / Full Stack Developer will design, develop, test, and deploy scala

virtualvocations.com

Client Challenge

pypi.org

Build Offline-First SaaS: IndexedDB in Next.js ⚡

The Network Drop Disaster Enterprise users at Smart Tech Devs do not always operate on gigabit...

dev.to

Memory-Native Non-Terrestrial Networks for Embodied Intelligence

Non-terrestrial networks (NTN) provide ubiquitous connectivity for embodied intelligence (EI), enabling robots in wilderness to leverage cloud resources or report critical information to remote centers. However, the synergy is nontrivial due to the highly-dynamic, resource-constrained, topology-varying, and task-oriented environment. Existing memoryless NTN protocols become inefficient, since the decisions are driven by local channel conditions and instantaneous service demands. To address these limitations, this paper proposes the memory-native NTN (MemNTN) paradigm that leverages long-horizon contexts for memory augmented system optimization. To realize this paradigm shift, we establish a dual-memory architecture that distinguishes between physical memory representing the state of the world and digital memory encoding historical network experience. We develop memory acquisition, compression, valuation, update, and utilization mechanisms that facilitate cross-layer, memory-native decision-making, spanning from the physical and access layers up to the network and application layers. Experiments in satellite embodied question answering (SEQA) demonstrate that the proposed MemNTN significantly outperforms conventional stateless NTN and terrestrial approaches.

arxiv.org

As AI moves from model development to production inference, compute demand is accelerating and shifting toward continuously operating AI factories that generate tokens at scale. This shift requires access to large‑scale, multi‑tenant accelerated computing that can come online quickly, stay highly utilized and support the economics of token‑scale AI services. Emerging AI companies historically have had limited access to capital-intensive infrastructure, with even long-term commitments insufficient to unlock financing for compute. To address this, NVIDIA is introducing a new business model that opens up compute access to the fast‑growing AI ecosystem of startups, model builders, enterprises, research organizations and regional AI players. This new model enables AI clouds to procure NVIDIA infrastructure for AI-native, enterprise and ISV customers through economic alignment with a revenue-sharing and credit-support model. Through the partnership, AI clouds will sell NVIDIA-powered cloud services, with NVIDIA earning both standard product revenue and a share of the cloud revenue on the supported capacity. This structure accelerates adoption of NVIDIA platforms among the high-growth, high-conviction AI native sector, and provides NVIDIA with a recurring, usage-linked earnings stream. For model builders, inference providers, agent platforms and enterprises scaling AI, it can mean faster access to full-stack accelerated computing without waiting through site selection, power procurement, construction and hardware bring-up. ## **NVIDIA AI Factory Capacity Built Around Demand** The initiative is already taking shape, with AI cloud companies building DSX AI factories designed to serve customers and workloads across regions. Sharon AI and Firmus are among the first companies to work with NVIDIA on this new business model. Sharon AI is deploying up to 40,000 NVIDIA Grace Blackwell GB300 GPUs. “This strategic collaboration with NVIDIA marks a pivotal moment in Sharon AI’s mission to deliver sovereign, large-scale AI compute infrastructure,” said James Manning, cofounder and CEO of Sharon AI. Firmus is building a DSX AI factory campus in Batam, Indonesia. The campus is expected to scale to 360 megawatts and up to 170,000 NVIDIA GPUs. “AI-native companies need access to scalable, energy- and cost-efficient compute infrastructure to compete globally,” said Tim Rosenfield, co-CEO of Firmus Technologies. “Firmus AI cloud is building a NVIDIA DSX-aligned AI factory, which will enable our cloud to help more customers access the compute they need to build and scale AI.” AI natives such as Baseten, Fireworks AI and Together AI show where compute demand is headed: they need immediate access to AI cloud capacity to run model training, post-training, fine-tuning and high-volume agentic inference for developers, digital natives and enterprises building with AI. Their customers need reliable access to large-scale NVIDIA accelerated computing as usage grows, but they also need commercial flexibility as products move from pilot to production. _To secure compute capacity and build and deploy AI models, contact Sharon AI and Firmus._ _Learn more about_ _NVIDIA Cloud Partners_ _and_ _AI factories_ _._

blogs.nvidia.com

AI Software Developer - Virtual Vocations

To support the development of AI capabilities in Company software, the full-time remote AI Software Developer will design, build, test, and

virtualvocations.com

Original post on aboutmydollhouses.blogspot.com

aboutmydollhouses.blogspot.com

Rust Developer Salary - Jun 2026

How much does a Rust Developer in Web3 make? The average yearly salary of a Rust Developer in Web3 is $150k per year, with a minimum base salary of $80k and a maximum of $275k

web3.career

itnerd.blog

Dawnguard launches platform to automate secure cloud architecture - Help Net Security

Dawnguard launched a platform that automates secure cloud architecture design, deployment, and continuous validation.

helpnetsecurity.com

Remote SVP Banking Operations at Nymbus

Nymbus is hiring a Remote SVP Banking Operations. About NymbusNymbus is a cloud-native core banking platform and managed services provider serving community banks and credit unions. We deliver the technology infrastructure, operational services, and digital experience capabilities our clients need t...

remoteok.com

3 Reasons Enterprise SQL Server Migrations Slow Down - and How to Avoid Them | Microsoft Community Hub

Summary Many of Enterprises around the globe have relied on SQL Server for over 3 decades to run their mission critical business applications. Their SQL...

techcommunity.microsoft.com

The AI-Native University – Blueprint for the Institution of the Future [Book In Development]

The AI-Native University Blueprint for the Institution of the Future   Preface Every generation inherits a university shaped by the technologies of the one

iblnews.org

Alteryx Expands Live Query Capabilities for Snowflake

Alteryx, Inc., an AI-ready data and analytics company, is expanding its cloud-native analytics capabilities with Live Query for Snowflake-enabling organizations to execute data transformation, orchestration, and analytics workflows directly within the Snowflake AI Data Cloud using Snowflake's scalable compute engine.

dbta.com

scylladb.com

Original post on housingwire.com

housingwire.com