Intentar ORO - Gratis
Overcoming challenges and embracing the future of cloud gaming
PCQuest
|June,2023
Cloud gaming providers are actively working to address the limitations of the technology and enhance the gaming experience for users. By investing in infrastructure, exploring new technologies like AI and Edge computing, and expanding broadband accessibility, the future of cloud gaming holds immense potential
Since the entire infrastructure is heavily dependent on the Internet, the user’s Internet connection needs stability and a certain bandwidth. The connectivity requirement ranges from 10 Mbps to 50 Mbps, depending on the gaming platform. Even if optimal bandwidth is available, latency can be caused by a variety of factors including interference, number of users on the connection, different applications, type of connections, etc.
Exploring the Limitations of Current Cloud Gaming Technology
Cloud gaming technology has made significant advancements in recent years, but it still has some limitations such as:
Latency
One of the primary challenges in cloud gaming is latency, which refers to the delay between a player’s input and the corresponding response from the game. Since cloud gaming heavily relies on a fast and stable internet connection, any delay in data transmission can result in frustrating gameplay. Factors such as network congestion, interference, and the number of users on the connection can contribute to latency issues.
Bandwidth
Cloud gaming requires a significant amount of bandwidth to deliver high-quality graphics and seamless game streaming. If a player’s Internet connection lacks sufficient speed or if there is network congestion, it can lead to buffering, interruptions, and degraded visual quality during gameplay. The demand for robust bandwidth can be a challenge, especially in areas where high-speed Internet access is limited.
Input
Esta historia es de la edición June,2023 de PCQuest.
Suscríbete a Magzter GOLD para acceder a miles de historias premium seleccionadas y a más de 9000 revistas y periódicos.
¿Ya eres suscriptor? Iniciar sesión
MÁS HISTORIAS DE PCQuest
PCQuest
When Software Drives the Machine Need for Enterprise-Grade Software
Cars used to fail because of broken parts.Now they fail because of broken code. As vehicles become rolling computers, enterprise-grade software, ruthless testing, and fail-safe architecture decide one thing: whether a car keeps moving safely at 100 km/h
2 mins
March 2026
PCQuest
AI on the ground Practical use cases of AI in large enterprise operations
AI isn't a side project anymore, it's the quiet operator inside global giants. It reads invoices, senses machine fatigue, tailors every customer moment, flags risk in real time, and feeds leaders sharper instincts. Scale just got smarter
3 mins
March 2026
PCQuest
From AI experiments in 2025 to enterprise scale in 2026: Why data foundations will decide the winners
Everyone's betting big on Al, but most are burning cash instead of building value. The hidden culprit? Dirty data, clunky processes, and missing context. What if fixing your foundation, not your algorithms, was the real AI game-changer?
4 mins
March 2026
PCQuest
How automation at the periphery is accelerating digital transformation
Digital transformation is not tearing down the core anymore. It is happening at the edges. With AI and automation layered onto existing systems, companies are cutting costs, boosting productivity by up to 40%, and scaling smarter without risking operational chaos
2 mins
March 2026
PCQuest
When AI moves from chips to racks
AI performance is no longer just about faster chips. It is about how racks, power, networking, and orchestration work together. As agentic AI grows, infrastructure must become predictable, open, and built for scale from day one
4 mins
March 2026
PCQuest
Designing enterprise AI systems that stay fair
In 2026, bias is no longer treated as a communications issue or a public relations headache.
6 mins
March 2026
PCQuest
HALO smart sensor
What if bathrooms, locker rooms, and isolated spaces could become safer without adding cameras?
2 mins
March 2026
PCQuest
Building enterprise AI that doesn't discriminate
Bias in enterprise AI is not a side issue. It starts in data pipelines, training systems, product design, and engineering workflows. As AI scales, fairness, transparency, and accessibility are becoming core software requirements
4 mins
March 2026
PCQuest
Bias travels faster than code
Bias in enterprise AI is not a surface issue. It enters through data, features, model training, APIs, and UI logic, then spreads across the stack. The technical response is shifting from audits to architecture, observability, and deployment controls
6 mins
March 2026
PCQuest
How hospitals can use AI without risking patient data
With the fast pace of adoption of Artificial Intelligence (AI) and digital health systems in Indian hospitals, issues related to the security of patient data are also increasing at an equal rate.
2 mins
March 2026
Translate
Change font size

