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globalinsight678 · 15 days ago

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GPU as a Service (GPUaaS) Market Size, Share & Growth Analysis 2034: Accelerating AI and Cloud Computing

GPU as a Service (GPUaaS) Market is on a remarkable growth trajectory, expected to expand from USD 5.6 billion in 2024 to a massive USD 28.4 billion by 2034, at a robust CAGR of 17.6%. This market empowers businesses to harness high-performance computing without owning physical GPUs, streamlining AI, machine learning, rendering, and analytics tasks through scalable, cloud-based infrastructure. As enterprises increasingly lean on AI and data-heavy applications, GPUaaS is emerging as a game-changer, replacing rigid hardware systems with flexible, efficient services that reduce cost and complexity.

Market Dynamics

Multiple forces are fueling the acceleration of the GPUaaS market. The push for AI adoption, immersive gaming experiences, and real-time rendering has led to heightened demand for advanced GPU infrastructure. Cloud-based deployment leads the way, favored for its flexibility and scalability, especially by tech-driven sectors like IT, media, and healthcare. Machine learning and AI are the top applications utilizing GPUaaS, followed by graphics-intensive fields such as gaming and design visualization. Simultaneously, trends like the expansion of 5G networks and digital transformation across industries further boost market momentum.

Click to Request a Sample of this Report for Additional Market Insights: https://www.globalinsightservices.com/request-sample/?id=GIS24347

Despite its rapid growth, the market faces key challenges. High infrastructure costs pose barriers for smaller firms, while growing concerns around data privacy and compliance with regional regulations create additional complexity. Moreover, the shortage of skilled professionals and energy-intensive operations present both operational and environmental hurdles. Nevertheless, the transition towards hybrid cloud models and sustainable technologies offers pathways for overcoming these restraints.

Key Players Analysis

The competitive landscape of the GPUaaS market is dominated by tech titans like NVIDIA Corporation, Google LLC, and Amazon Web Services (AWS). NVIDIA continues to lead through groundbreaking GPU innovations, while Google and AWS offer extensive cloud platforms that integrate GPU capabilities for varied applications. Beyond these giants, emerging players such as Paperspace, Core Weave, Lambda Labs, and Genesis Cloud are carving out niches by delivering cost-effective, flexible services for startups and SMEs. Startups like Pixel Compute, Deep Pixel, and Quantum Render are also gaining attention for their novel rendering and AI solutions.

Regional Analysis

North America is the clear frontrunner in the global GPUaaS market. The U.S., with its high AI investment levels, robust cloud infrastructure, and early technology adoption, leads the pack. Europe trails closely, with nations like Germany and the UK pushing forward via smart manufacturing and digital healthcare solutions. Asia-Pacific is witnessing explosive growth, primarily fueled by cloud proliferation and tech expansion in China and India. Latin America and the Middle East & Africa, while still developing, are showing strong potential as digitalization and tech startup ecosystems gain ground in these regions.

Recent News & Developments

Recent developments highlight a dynamic and evolving GPUaaS market. The increasing demand for AI and machine learning in sectors like healthcare, autonomous vehicles, and finance has spurred infrastructure expansion and service diversification. Providers are enhancing their offerings to accommodate rising workloads and regulatory compliance. Pricing models remain flexible, ranging between $0.25 to $3 per GPU hour, depending on processing power and service tier.

Sustainability is becoming a pressing issue, prompting GPU providers to adopt energy-efficient technologies. Additionally, global geopolitical shifts are influencing supply chains and investment decisions, while strategic partnerships are reshaping innovation pathways. Companies are now not only focused on performance but also on regulatory compliance, cost control, and environmental responsibility.

Browse Full Report : https://www.globalinsightservices.com/reports/gpu-as-a-service-gpuaas-market-2/

Scope of the Report

This report provides a comprehensive analysis of the GPUaaS market across dimensions such as deployment types (public, private, hybrid cloud), products, services, technologies, applications, and end users. It offers both qualitative and quantitative insights, forecasting market trends through 2034. The scope includes segmentation breakdowns, competitive strategies, regional market assessments, and in-depth coverage of emerging players. It also addresses regulatory reviews, production-consumption dynamics, and import-export patterns, equipping businesses with actionable intelligence to capture market opportunities and mitigate operational risks.

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#gpuasaas #cloudgpu #machinelearning #aicomputing #cloudrendering #gpucloudservices #datacentersolutions #gamingtechnology #5ginnovation #cloudinfrastructure #edgecomputing #aiaccelerator #techstartups #gpuinnovation #digitaltransformation

About Us:

Global Insight Services (GIS) is a leading multi-industry market research firm headquartered in Delaware, US. We are committed to providing our clients with highest quality data, analysis, and tools to meet all their market research needs. With GIS, you can be assured of the quality of the deliverables, robust & transparent research methodology, and superior service.

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pcsite · 1 month ago

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https://aievil.co.uk/how-can-you-use-ai-to-accelerate-business-growth/ Artificial intelligence is reshaping industries, from manufacturing to customer service. Companies leveraging this technology gain a competitive edge, with 63% reporting revenue growth, according to McKinsey.Adoption rates are soaring—61% of businesses plan to increase AI investments this year. Cloud platforms like DigitalOcean and Paperspace simplify deployment, making advanced processes accessible.Machine learning, NLP, and generative AI drive efficiency. By 2030, AI could contribute $15.7 t

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render4 · 3 months ago

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Building a Budgeted GPU Render Farm in North America: A Cost-Effective Solution for Creators

As demand for high-performance computing increases, GPU render farms have become an essential resource for 3D artists, animators, video producers, and AI researchers. However, setting up a budgeted GPU render farm in North America can be challenging due to high hardware costs, energy consumption, and maintenance expenses.

In this article, we explore cost-effective strategies to build or access an affordable GPU render farm, highlighting essential components, cloud-based solutions, and best practices for maximizing performance while keeping expenses low.

What is a GPU Render Farm?

A GPU render farm is a network of multiple high-powered graphics processing units (GPUs) that work together to accelerate rendering tasks. Unlike CPU-based farms, GPU render farms handle complex computations much faster, making them ideal for visual effects, CGI, architectural visualization, and machine learning.

Key Considerations for a Budget-Friendly GPU Render Farm

To create a budgeted GPU render farm in North America, consider the following factors:

1. Choosing the Right GPUs

Selecting the right graphics cards is crucial for balancing cost and performance. Some of the best budget-friendly GPUs for rendering include:

NVIDIA RTX 3060 Ti / 3070 / 3080 – Offers excellent price-to-performance ratio for rendering tasks.

AMD Radeon RX 6800 / 6900 XT – A great alternative with powerful compute capabilities.

Older GPUs like GTX 1080 Ti or RTX 2080 Ti – Still effective for rendering and available at lower prices.

Purchasing refurbished or second-hand GPUs from trusted sources can help reduce costs.

2. Hardware Selection and Optimization

Building a budgeted GPU render farm requires efficient hardware beyond just GPUs. Key components include:

Motherboards with multiple PCIe slots – Supports multiple GPUs for parallel processing.

High-efficiency power supplies (80+ Gold or Platinum rated) – Ensures stable operation and reduced energy consumption.

Adequate cooling solutions – GPUs generate significant heat, so using liquid cooling or high-performance fans is essential.

3. Cloud-Based GPU Render Farms as an Alternative

For those who need GPU rendering power without upfront investment, cloud-based render farms are a great alternative. Some of the best budget-friendly GPU render farms in North America include:

AWS EC2 with NVIDIA GPUs – Offers on-demand, scalable cloud rendering.

Google Cloud (GCP) with Tensor Processing Units (TPUs) – Ideal for machine learning and AI tasks.

Paperspace and Lambda Labs – Cost-effective cloud solutions for rendering and deep learning.

GarageFarm, RebusFarm, and Fox Renderfarm – Popular choices for rendering 3D projects at lower costs.

Many of these services providepay-as-you-go pricing, allowing users to only pay for what they use.

4. Energy Efficiency and Cost Savings

Energy costs in North America can be significant, but strategies to reduce expenses include:

Using energy-efficient GPUs – Newer GPUs with better performance-per-watt ratings save electricity.

Running render jobs during off-peak hours – Some regions offer lower electricity rates at night.

Optimizing workload distribution – Load balancing ensures all GPUs are utilized efficiently.

5. Open-Source and Affordable Rendering Software

To keep costs low, consider using open-source or budget-friendly rendering software like:

Blender (Cycles and Eevee) – Free and powerful GPU-based renderer.

Octane Render (Affordable subscription model) – Excellent GPU-accelerated rendering.

Redshift (Optimized for NVIDIA GPUs) – A cost-effective choice for professionals.

Conclusion

Building a budgeted GPU render farm in North America is achievable with the right strategy. By selecting cost-effective GPUs, optimizing hardware, considering cloud-based alternatives, and using energy-efficient practices, creators and businesses can access powerful rendering capabilities without breaking the bank.

Whether you’re a freelance 3D artist or a small studio, a well-planned budget render farm can help you complete projects faster while staying within financial constraints.

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kirandbmr · 6 months ago

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Gaming Consoles Market Trends, Challenges, and Forecast 2025–2032

The Gaming Consoles Market sector is undergoing rapid transformation, with significant growth and innovations expected by 2029. In-depth market research offers a thorough analysis of market size, share, and emerging trends, providing essential insights into its expansion potential. The report explores market segmentation and definitions, emphasizing key components and growth drivers. Through the use of SWOT and PESTEL analyses, it evaluates the sector’s strengths, weaknesses, opportunities, and threats, while considering political, economic, social, technological, environmental, and legal influences. Expert evaluations of competitor strategies and recent developments shed light on geographical trends and forecast the market’s future direction, creating a solid framework for strategic planning and investment decisions.

Brief Overview of the Gaming Consoles Market:

The global Gaming Consoles Market is expected to experience substantial growth between 2024 and 2031. Starting from a steady growth rate in 2023, the market is anticipated to accelerate due to increasing strategic initiatives by key market players throughout the forecast period.

Get a Sample PDF of Report - https://www.databridgemarketresearch.com/request-a-sample/?dbmr=global-gaming-consoles-market

Which are the top companies operating in the Gaming Consoles Market?

The report profiles noticeable organizations working in the water purifier showcase and the triumphant methodologies received by them. It likewise reveals insights about the share held by each organization and their contribution to the market's extension. This Global Gaming Consoles Market report provides the information of the Top Companies in Gaming Consoles Market in the market their business strategy, financial situation etc.

Sony Corporation (Japan), Microsoft (U.S.), Nintendo (Japan), Logitech (Switzerland), Valve Corporation (U.S.), NVIDIA Corporation (U.S.), PlayJam (UK), BlueStacks (U.S.), Sega (Japan) Atari Inc., (U.S.), Bandai Namco Studios Inc. (Japan), Bay Tek Entertainment Inc. (U.S.), Capcom Co. Ltd. (Japan), CXC Simulations (U.S.), D-BOX Technologies Inc (Canada). Advanced Micro Devices (U.S.), IBM (U.S.), Tencent (China), Paperspace (U.S.), Activision (U.S.), Ubitus K.K (Taiwan), Playkey (U.S.), LP Technologies LLC (Russia), Hatch Ltd., (Finland), and Blacknut (France)

Report Scope and Market Segmentation

Which are the driving factors of the Gaming Consoles Market?

The driving factors of the Gaming Consoles Market are multifaceted and crucial for its growth and development. Technological advancements play a significant role by enhancing product efficiency, reducing costs, and introducing innovative features that cater to evolving consumer demands. Rising consumer interest and demand for keyword-related products and services further fuel market expansion. Favorable economic conditions, including increased disposable incomes, enable higher consumer spending, which benefits the market. Supportive regulatory environments, with policies that provide incentives and subsidies, also encourage growth, while globalization opens new opportunities by expanding market reach and international trade.

Gaming Consoles Market - Competitive and Segmentation Analysis:

**Segments**

- **Product Type**: The gaming consoles market is segmented into home consoles, handheld consoles, and microconsoles. Home consoles are expected to dominate the market due to the high demand for immersive gaming experiences and advanced graphics. Handheld consoles are also gaining popularity, especially among casual gamers looking for portability and convenience. Microconsoles are experiencing steady growth with the rise of mobile gaming and cloud-based gaming services.

- **End-User**: The market is segmented into residential and commercial users. Residential users account for the majority of the market share as gaming consoles are primarily used for personal entertainment at home. However, commercial users such as gaming cafes and esports arenas are becoming increasingly significant, driving demand for high-performance gaming consoles for competitive gaming events.

- **Distribution Channel**: The market is segmented into offline and online channels. Offline channels, including retail stores and specialty gaming shops, have traditionally been the primary distribution channel for gaming consoles. However, online channels, such as e-commerce platforms and digital stores, are witnessing rapid growth due to the convenience and wider product selection they offer to consumers.

**Market Players**

- Sony Corporation: Sony's PlayStation consoles have been a dominant force in the gaming industry, with the PlayStation 5 being the latest iteration garnering significant attention from gamers worldwide.

- Microsoft Corporation: Microsoft's Xbox series is another major player in the market, known for its powerful gaming hardware and robust online services through Xbox Live.

- Nintendo Co., Ltd.: Nintendo has a strong presence in the market with its innovative and family-friendly gaming consoles like the Nintendo Switch, appealing to a wide range of consumers of all ages.

- NVIDIA Corporation: NVIDIA's SHIELD TV is a leading microconsole in the market, leveraging the company's expertise in graphics processing to deliver high-quality gaming and streaming experiences.

- Tencent Holdings Limited: Tencent is a key player in the gaming consoles market through its investment in various gaming companies and development of cloud gaming platforms, expanding its reach in the global gaming industry.

TheThe gaming consoles market is a dynamic and rapidly evolving industry that continues to see significant growth and innovation across various segments. While home consoles have traditionally been the dominant segment, handheld consoles and microconsoles are carving out their niches in the market as consumer preferences and gaming habits evolve. Handheld consoles, with their emphasis on portability and convenience, are attracting a new segment of casual gamers who seek gaming experiences on the go. Microconsoles, on the other hand, are tapping into the trend of mobile gaming and cloud-based services, offering a more accessible and affordable option for gamers looking to experience high-quality games without the need for a traditional console setup.

In terms of end-users, the divide between residential and commercial users is becoming increasingly blurred as gaming culture permeates different facets of society. While residential users still hold the lion's share of the market, commercial users such as gaming cafes and esports arenas are emerging as key drivers of demand for more advanced and high-performance gaming consoles. These commercial users are fueling the growth of competitive gaming events and creating new opportunities for market players to tailor their products and services to meet the specific needs of this segment.

The distribution channels through which gaming consoles reach consumers are also undergoing significant changes, with the rise of online platforms reshaping the traditional retail landscape. While offline channels have been the traditional stronghold for console sales, online channels are rapidly gaining traction due to the convenience and vast product offerings they provide to consumers. E-commerce platforms and digital stores are enabling gamers to access a wider selection of gaming consoles and accessories, making it easier for them to compare prices and read reviews before making a purchase. This shift towards online channels is likely to continue as consumer preferences lean towards digital transactions and seamless shopping experiences.

In terms of market players, established companies like Sony, Microsoft, and Nintendo continue to dominate the gaming consoles market with their well-known brands and loyal customer base. These companies have been at the forefront of innovation, constantly pushing the boundaries of gaming technology and introducing new features to**Market Players** - Sony Corporation (Japan) - Microsoft (U.S.) - Nintendo (Japan) - Logitech (Switzerland) - Valve Corporation (U.S.) - NVIDIA Corporation (U.S.) - PlayJam (UK) - BlueStacks (U.S.) - Sega (Japan) - Atari Inc. (U.S.) - Bandai Namco Studios Inc. (Japan) - Bay Tek Entertainment Inc. (U.S.) - Capcom Co. Ltd. (Japan) - CXC Simulations (U.S.) - D-BOX Technologies Inc (Canada) - Advanced Micro Devices (U.S.) - IBM (U.S.) - Tencent (China) - Paperspace (U.S.) - Activision (U.S.) - Ubitus K.K (Taiwan) - Playkey (U.S.) - LP Technologies LLC (Russia) - Hatch Ltd. (Finland) - Blacknut (France)

The gaming consoles market is a highly competitive and dynamic industry with a diverse range of market players vying for market share and consumer attention. Established companies such as Sony, Microsoft, and Nintendo continue to lead the market with their popular gaming consoles and strong brand recognition. Sony's PlayStation consoles are known for their cutting-edge technology and exclusive game titles, making them a top choice among gamers worldwide. Microsoft's Xbox series boasts powerful hardware and a robust online

North America, particularly the United States, will continue to exert significant influence that cannot be overlooked. Any shifts in the United States could impact the development trajectory of the Gaming Consoles Market. The North American market is poised for substantial growth over the forecast period. The region benefits from widespread adoption of advanced technologies and the presence of major industry players, creating abundant growth opportunities.

Similarly, Europe plays a crucial role in the global Gaming Consoles Market, expected to exhibit impressive growth in CAGR from 2024 to 2029.

Explore Further Details about This Research Gaming Consoles Market Report https://www.databridgemarketresearch.com/reports/global-gaming-consoles-market

Key Benefits for Industry Participants and Stakeholders: –

Industry drivers, trends, restraints, and opportunities are covered in the study.

Neutral perspective on the Gaming Consoles Market scenario

Recent industry growth and new developments

Competitive landscape and strategies of key companies

The Historical, current, and estimated Gaming Consoles Market size in terms of value and size

In-depth, comprehensive analysis and forecasting of the Gaming Consoles Market

Geographically, the detailed analysis of consumption, revenue, market share and growth rate, historical data and forecast (2024-2031) of the following regions are covered in Chapters

The countries covered in the Gaming Consoles Market report are U.S., Canada and Mexico in North America, Brazil, Argentina and Rest of South America as part of South America, Germany, Italy, U.K., France, Spain, Netherlands, Belgium, Switzerland, Turkey, Russia, Rest of Europe in Europe, Japan, China, India, South Korea, Australia, Singapore, Malaysia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC) in the Asia-Pacific (APAC), Saudi Arabia, U.A.E, South Africa, Egypt, Israel, Rest of Middle East and Africa (MEA) as a part of Middle East and Africa (MEA

Detailed TOC of Gaming Consoles Market Insights and Forecast to 2029

Part 01: Executive Summary

Part 02: Scope Of The Report

Part 03: Research Methodology

Part 04: Gaming Consoles Market Landscape

Part 05: Pipeline Analysis

Part 06: Gaming Consoles Market Sizing

Part 07: Five Forces Analysis

Part 08: Gaming Consoles Market Segmentation

Part 09: Customer Landscape

Part 10: Regional Landscape

Part 11: Decision Framework

Part 12: Drivers And Challenges

Part 13: Gaming Consoles Market Trends

Part 14: Vendor Landscape

Part 15: Vendor Analysis

Part 16: Appendix

Browse More Reports:

Japan: https://www.databridgemarketresearch.com/jp/reports/global-gaming-consoles-market

China: https://www.databridgemarketresearch.com/zh/reports/global-gaming-consoles-market

Arabic: https://www.databridgemarketresearch.com/ar/reports/global-gaming-consoles-market

Portuguese: https://www.databridgemarketresearch.com/pt/reports/global-gaming-consoles-market

German: https://www.databridgemarketresearch.com/de/reports/global-gaming-consoles-market

French: https://www.databridgemarketresearch.com/fr/reports/global-gaming-consoles-market

Spanish: https://www.databridgemarketresearch.com/es/reports/global-gaming-consoles-market

Korean: https://www.databridgemarketresearch.com/ko/reports/global-gaming-consoles-market

Russian: https://www.databridgemarketresearch.com/ru/reports/global-gaming-consoles-market

Data Bridge Market Research:

Today's trends are a great way to predict future events!

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#Gaming Consoles Market Growth #Gaming Consoles Market #Gaming Consoles Market Analysis

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bestwebhosting-6 · 6 months ago

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Cloud GPU Platforms for Deep Learning

Platforms like Azure, AWS, Google Cloud, and Paperspace provide cloud-based GPUs designed for deep learning. These solutions deliver scalable, high-performance computing, flexible pricing, and pre-configured environments with support for popular frameworks—making them perfect for researchers and developers looking to streamline and accelerate their deep learning projects.

#GPU #GPUServer #GPUTechnology #GPUs #GraphicsCard #GraphicsProcessingUnits #AI #ML #MachineLearning #DeepLearning #CloudGPU #CloudGPUPlatforms

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simulatedannealment · 1 year ago

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Using the Fastai tutorial to create an image classifier in paperspace?

#fastai #simulatedannealment #machine learning #Artificial Intelligence #Codeblr #programming #flowers #executivedysfunction #image classification #neural networks

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thetechgadgetprovider · 2 years ago

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DigitalOcean Acquires Cloud Computing Startup Paperspace For $111M

http://dlvr.it/SrnZnp

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ericvanderburg · 2 years ago

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DigitalOcean Acquires Cloud Computing Startup Paperspace For $111M

http://i.securitythinkingcap.com/SrnH8h

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hackernewsrobot · 2 years ago

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DigitalOcean acquires Paperspace (YC W15) for $111M in cash

https://finance.yahoo.com/news/digitalocean-acquires-paperspace-expand-ai-120000933.html

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techniktagebuch · 2 years ago

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April 2023

Sechs Jahre Nichtstun, eine schöne Lösung für so viele Probleme

Vor fast genau sechs Jahren habe ich beschlossen, auch mal dieses Machine Learning auszuprobieren:

Gleich kann es losgehen, ich muss nur erst “Getting Started before your first lesson” lesen. Von dort schickt man mich weiter zum AWS deep learning setup video. Das Video ist 13 Minuten lang.

(Es folgen Probleme und Verwicklungen beim Setup, die Details kann man hier nachlesen.)

In Minute 12:45 sagt der Erzähler im Video: “Ok! It looks like everything is set up correctly and you’re ready to start using it.” Aber statt 12 Minuten und 45 Sekunden sind zwei Wochen vergangen, mein anfänglicher Enthusiasmus ist aufgebraucht und mein Interesse an Deep Learning erlahmt. Ich bin nicht einmal bis “Lesson 1” gekommen.

Im April 2023 sagt Aleks, dass er gerade einen sehr guten Onlinekurs über Machine Learning macht. Ich frage nach der Adresse, und sie kommt mir bekannt vor. Es ist derselbe Kurs!

“Das Setup war kein Problem?”, frage ich. Nein, sagt Aleks, Sache von ein paar Minuten.

Ich sehe mir "Practical Deep Learning for Coders 2022” an. Man braucht für den Kurs bestimmte Hardware. Generell benötigt Machine Learning Grafikprozessoren wegen der höheren Rechenleistung, und aus der Einleitung zum Kurs weiß ich jetzt, dass die aktuell verfügbaren Tools Nvidia-Grafikprozessoren voraussetzen*. Den Zugang zu dieser Hardware soll man mieten. Das war vor sechs Jahren auch schon so, nur dass das Mieten der Rechenleistung bei Amazon Web Services eine komplizierte und teure Sache war.

* Ich hatte an dieser Stelle schon “Grafikkarten” geschrieben, dann kam es mir aber wieder so vor, als müsste ich meinen Sprachgebrauch renovieren. In meiner Vorstellung handelt es sich um eine Steckkarte, ungefähr 10 x 20 cm groß, die in ein PC-Gehäuse eingebaut wird. So war das, als ich meine Computer noch in Einzelteilen kaufte, aber das ist zwanzig Jahre her. Deshalb habe ich mich für das unverbindliche Wort “Grafikprozessoren” entschieden. Aber wenn ich nach nvidia gpu machine learning suche, sehe ich sperrige Dinge, die nicht weit von meiner Erinnerung an Grafikkarten entfernt sind. Die große Rechenleistung braucht auch große Kühlleistung, deshalb sind zwei Lüfter auf der ... naja, Karte. Die Ergebnisse der Bildersuche sind etwas uneindeutig, aber es kommt mir so vor, als enthielte das Rechenzentrum, dessen Leistung ich gleich nutzen werde, wahrscheinlich große Gehäuse, in denen große Grafikkarten drin sind, vom Format her immer noch ungefähr wie vor zwanzig Jahren. Nur viel schneller.

2018 brauchte man AWS schon nicht mehr für den fast.ai-Onlinekurs. Stattdessen konnte man sich die Arbeitsumgebung bei Paperspace einrichten, einem anderen Cloud-Anbieter. Die Anleitung von 2018 klingt so, als hätte meine Geduld wahrscheinlich auch dafür nicht gereicht.

In der Version von 2019 hat der Kurs auf Google Colab gesetzt. Das heißt, dass man Jupyter Notebooks auf Google-Servern laufen lassen kann und keine eigene Python-Installation braucht, nur einen Browser. Colab gab es 2017 noch nicht, es wurde erst ein paar Monate nach meinem Scheitern, im Herbst 2017, für die Öffentlichkeit freigegeben. Allerdings klingt die Anleitung von 2019 immer noch kompliziert.

2020 wirkt es schon schaffbarer.

Auch die aktuelle Version des Kurses basiert auf Colab. Man muss sich dafür einen Account bei Kaggle einrichten. Soweit ich es bisher verstehe, dient dieser Kaggle-Zugang dazu, die Sache kostenlos zu machen. Colab würde ansonsten Geld kosten, weniger als ich 2017 bezahlt habe, aber eben Geld. Oder vielleicht liegen auch die Jupyter Notebooks mit den Kurs-Übungen bei Kaggle, keine Ahnung, man braucht es eben. (Update: In Kapitel 2 des Kurses merke ich, dass es noch mal anders ist, man hätte sich zwischen Colab und Kaggle entscheiden können. Zusammengefasst: Ich verstehe es nicht.)

Ich lege mir einen Kaggle-Account an und betrachte das erste Python-Notebook des Kurses. Es beginnt mit einem Test, der nur überprüft, ob man überhaupt Rechenleistung bei Kaggle in Anspruch nehmen darf. Das geht nämlich erst, wenn man eine Telefonnummer eingetragen und einen Verifikationscode eingetragen hat, der an diese Telefonnummer verschickt wird. Aber das Problem ist Teil des Kursablaufs und deshalb genau an der Stelle erklärt, an der es auftritt. Es kostet mich fünf Minuten, die vor allem im Warten auf die Zustellung der SMS mit dem Code bestehen.

Danach geht es immer noch nicht. Beim Versuch, die ersten Zeilen Code laufen zu lassen, bekomme ich eine Fehlermeldung, die mir sagt, dass ich das Internet einschalten soll:

“STOP: No internet. Click ‘>|’ in top right and set ‘Internet’ switch to on.”

Ich betrachte lange alles, was mit “top right” gemeint sein könnte, aber da ist kein solcher Schalter. Schließlich google ich die Fehlermeldung. Andere haben das Problem auch schon gehabt und gelöst. Der Schalter sieht weder so aus wie in der Fehlermeldung angedeutet, noch befindet er sich oben rechts. Man muss ein paar Menüs ein- und ein anderes ausklappen, dann wird er unten rechts sichtbar.

Ich bin also im Internet und muss erst das Internet einschalten, damit ich Dinge im Internet machen kann.

Aleks meint, wenn ich ihm gestern dabei zugehört hätte, wie er eine Viertelstunde lang laut fluchte, hätte ich schon gewusst, wie es geht. Hatte ich aber nicht.

Nach dem Einschalten des Internets kann ich das erste Jupyter-Notebook des Kurses betrachten und selbst ausprobieren, ob es wohl schwer ist, Frösche von Katzen zu unterscheiden. Für die Lösung aller Startprobleme von 2017 habe ich zwei Wochen gebraucht. 2023 noch eine Viertelstunde, und ich bin zuversichtlich, dass man um 2025 direkt in den Kurs einsteigen können wird.

(Kathrin Passig)

#Kathrin Passig #fast.ai #Deep Learning #Machine Learning #Onlinekurs #Amazon AWS #Paperspace #Colab #Google Colaboratory #Google Colab #Kaggle #Fehlermeldung #für den Internetzugang braucht man Internet #Cloud Computing #Jupyter Notebooks #Sprachgebrauch #Grafikkarte #best of

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kirandbmr · 6 months ago

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Gaming Consoles Market Trends, Challenges, and Forecast 2025–2032