Nvidia launches GeForce Now in India: Prices, plans and 5K gaming support explained

cnbctv18.com Jul 15, 2026

Nvidia launches GeForce Now in India: Prices, plans and 5K gaming support explained

Curated by Shubham · TechCapsules · Jul 15, 2026

AI-summarised brief · reviewed before publication

Nvidia has officially launched its GeForce Now cloud gaming service in India, making the platform accessible to all users in the region. The launch introduces two distinct subscription tiers designed to cater to varying gamer needs. The entry-level Performance plan is priced at ₹999 per month, offering standard cloud gaming capabilities. For more demanding users, the Ultimate plan is available at ₹1,999 per month. This higher tier includes support for 5K gaming resolution, allowing for enhanced visual fidelity and performance. The service eliminates the need for high-end local hardware by streaming games directly from Nvidia’s servers. This expansion marks a significant step in Nvidia’s strategy to penetrate the Indian gaming market. Users can now subscribe immediately through the official channels. The pricing structure aims to make premium gaming experiences more affordable for Indian consumers. The launch follows extensive testing and preparation to ensure smooth service delivery. Nvidia expects this move to attract a broader audience of gamers who previously lacked access to high-performance computing resources.

💡 Why It Matters

· This launch democratizes access to high-end gaming hardware in a price-sensitive market.
· Gamers no longer need expensive PCs to play visually demanding titles.

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Logical Qubit Technology Unveils AGate Quantum Cloud Platform and Multi-Year Roadmap

Logical Qubit Technology launched its AGate quantum cloud platform on July 9, 2026, offering access to 30-qubit and 100-qubit superconducting chips. The platform supports quantum circuit execution and pulse-level control, with a roadmap aiming for fault-tolerant systems by 2030. The company also announced partnerships with biopharma and software firms to build a B2B quantum ecosystem.

💡 Logical Qubit’s cloud access to high-fidelity qubits and error correction-focused hardware accelerates practical quantum applications in drug discovery and materials science. By offering lab-grade control without requiring on-site quantum infrastructure, it lowers entry barriers for researchers and businesses.

mpost.io · Jul 16

Top 10 Infrastructure Providers Behind Modern AI Applications In 2026

Running AI workloads at scale remains an infrastructure challenge, prompting a surge of GPU cloud providers over the past two years. Enterprises now evaluate ten leading platforms based on workload type, team size, compliance needs, and operational preferences. Amazon Web Services (AWS) stays the default for many due to existing cloud footprints, offering its own Trainium and Inferentia silicon alongside Bedrock and SageMaker, though its billing complexity is a frequent complaint. Google Cloud distinguishes itself with both Nvidia GPUs and custom TPUs, leveraging Vertex AI and an open‑source agent kit; integration is seamless for users already in the Google data ecosystem, as demonstrated by Orange Group’s rapid European rollout. Azure appeals to regulated sectors, providing extensive certifications, data‑residency options, and audit tools that many niche GPU clouds lack.

💡 Compliance‑driven organizations gain a ready‑made, certified AI stack on Azure, bypassing costly custom security implementations.

analyticsinsight.net · Jul 16

The Ultimate Data Engineering Cheat Sheet (2026)

Modern data engineering prioritizes scalable, secure, and AI-ready platforms, with lakehouse architecture increasingly replacing separate data lake and warehouse deployments. As global data creation is projected to exceed 394 zettabytes by 2028, businesses are upgrading infrastructure to support advanced analytics and artificial intelligence. The discipline has evolved beyond simple data movement to emphasize speed, quality, security, and reliability. The engineering process involves collecting data from diverse sources, cleaning and formatting it, and ensuring quality compliance before use in reports or machine learning models. Data engineers are highly sought after, requiring proficiency in SQL, cloud technologies, and AI integration. Employers in 2026 favor candidates with both traditional engineering skills and AI knowledge. Popular storage solutions include Snowflake, Google BigQuery, Amazon Redshift, and Azure Synapse Analytics. Strong governance remains essential for accurate outcomes, ensuring that every team trusts the information used for daily decisions, automation, and customer service initiatives across various business applications.

💡 The shift toward AI-ready lakehouse architectures redefines technical hiring standards, making hybrid expertise in traditional engineering and artificial intelligence a mandatory qualification for industry professionals.

siliconangle.com · Jul 16

Spectro Cloud wants to ease AI infrastructure management after raising $100M in…

Kubernetes software startup Spectro Cloud Inc. has secured $100 million in a late-stage funding round to address critical gaps in artificial intelligence infrastructure management. Founded in 2019 by CEO Tenry Fu and CTO Saad Malik, the company provides a software platform enabling organizations to deploy, govern, and operate AI infrastructure at scale across data centers, edge locations, and on-premises environments. While global AI spending is projected to reach $2.59 trillion this year, a significant portion is allocated to hardware, leaving many enterprises struggling with the software required to maximize chip utility. Spectro’s Palette platform serves as a single control plane for managing complex computing environments, including public clouds and bare metal servers. The company recently introduced PaletteAI, a service expanding its capabilities to cover GPU management and distributed inference. This solution aims to simplify the coordination of storage, networking, and security policies, particularly for regulated industries like healthcare and defense that face stringent compliance requirements while attempting to scale AI workloads beyond standard open-source Kubernetes limitations.

💡 The funding underscores a critical industry bottleneck where massive hardware investments are stifled by inadequate management software. Spectro’s solution directly targets the operational complexity preventing enterprises from fully utilizing their expensive AI infrastructure.

nationthailand.com · Jul 16

AIS powers Muang Thong Thani’s transformation into a connected smart city

Advanced Info Service (AIS) and Bangkok Land have launched a digital infrastructure program to transform Muang Thong Thani in Nonthaburi into a connected smart city. Spanning over 4,000 rai, the initiative, titled “Muang Thong NEXT,” integrates mobile and fixed networks with cloud, data, and artificial intelligence systems. AIS plans to complete the installation within 12 months, deploying comprehensive 5G coverage and upgrading to 5G-Advanced technology. This upgrade aims to handle heavy demand at venues like IMPACT, supporting live streaming and immersive experiences for tens of thousands of simultaneous users. Residential areas will receive AIS 3BB Fibre3 broadband and Wi-Fi 7, enabling smart home applications and telemedicine. Businesses will access hyper-connectivity, sovereign cloud, and AI solutions to accelerate digital transformation. The infrastructure supports AI-powered CCTV, smart access controls, and IoT devices. Data from various sectors will integrate into a Smart City Data Platform and Digital Twin, providing administrators with real-time oversight to optimize traffic, energy consumption, and public safety across the district.

💡 The integration of a Digital Twin platform allows administrators to optimize urban resources in real-time, moving beyond simple connectivity to intelligent district management. This approach directly addresses the logistical challenges of hosting mass events while enhancing daily life for residents through seamless digital infrastructure.

thequantuminsider.com · Jul 15

QuSecure Lists QuProtect R3 on AWS Marketplace for U.S. Intelligence Community

QuSecure, a post‑quantum cryptography firm, has added its QuProtect R3 platform to Amazon Web Services’ Intelligence Community Marketplace (ICMP), a curated catalog for U.S. federal buyers. QuProtect R3 offers government agencies tools to discover cryptographic vulnerabilities, enforce security policies and transition to quantum‑resilient algorithms without redesigning applications or replacing hardware. The solution supports legacy IT, tactical networks and mission‑critical operations, aiming to protect sensitive data as quantum computers become viable threats. By listing on ICMP, QuSecure enables streamlined procurement and rapid deployment of its PQ‑ready software for the Intelligence Community and other federal customers. The move aligns with the agency’s push to modernize cryptographic defenses ahead of emerging quantum capabilities. Federal auditors anticipate faster compliance reporting thanks to the platform’s automated audits.

💡 Entering the ICMP cuts the lengthy federal acquisition process, giving agencies immediate, ready‑to‑deploy quantum‑resilient security tools.