Runpod provides a cloud infrastructure that enables seamless deployment and scaling of AI workloads with GPU-powered pods. By offering access to a wide array of NVIDIA GPUs, such as the A100 and H100, Runpod supports training and deploying machine learning models with minimal latency and high performance. The platform emphasizes ease of use, allowing users to spin up pods in seconds and scale them dynamically to meet demand. With features like autoscaling, real-time analytics, and serverless scaling, Runpod is an ideal solution for startups, academic institutions, and enterprises seeking a flexible, powerful, and affordable platform for AI development and inference.
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Thinfinity Workspace 7.0's Technical Highlights:
- Progressive Web App (PWA) technology for a seamless user experience
- Integrated Thinfinity VNC, VirtualUI, and z/Scope for maximum versatility
- HTML5 terminal emulation supporting DEC terminals, TN 5220, and TN 3270 protocols
- Robust enterprise-grade audit logs for security and compliance management
- Proprietary VNC protocol for real-time monitoring and troubleshooting
IMPROVE USER EXPERIENCE
- Deliver business-critical apps, desktops and files from a single web portal.
- Provide simplified remote browser access for your users, while confining them to only the resources that they need.
SIMPLIFY IT AND AVOID VPNs
- Forget traditional VPN deployments and complexities.
- Enable access from Chromebooks, mobile devices or any computer with a Web Browser. Zero setup.
KEEP YOUR BUSINESS SECURE
- Use enterprise-grade encrypted connections.
- Integrate with your existing and external identity platforms.
- Apply 2FA or MFA policies with all identity providers.
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Hivenet Compute gives you on-demand RTX 5090 and RTX Pro 6000 GPUs, plus vCPU instances, billed per second while they run. Hivenet owns and operates the infrastructure, with data centres in France, the UAE and the US, so EU teams can keep workloads and data in Europe.
Use it for training and fine-tuning, inference, notebooks, rendering and batch jobs. Launch from ready-made templates in a few minutes, or automate everything through the public Compute API. If you'd rather not run the serving layer yourself, the Inference API gives you an OpenAI-compatible endpoint.
Teams get organisations with role-based access, prepaid credits, and S3-compatible object storage alongside compute.
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V2 Cloud
Most teams think of V2 Cloud as a DaaS provider, but the platform covers far more than virtual desktops. It gives businesses one managed cloud environment for everything their people use to work: Windows and Linux workstations, line-of-business software, files, databases, and any type of server. Users connect securely from wherever they are, and IT keeps full control from a single place.
Legacy VDI typically demands dedicated specialists, complex infrastructure, and long rollout timelines. V2 Cloud takes the opposite approach. Environments go live in minutes, the day-to-day infrastructure work is handled for you, and there's no on-premise hardware to buy or maintain. That makes it easier to consolidate resources, tighten security, and support staff who work remotely, in hybrid setups, at branch locations, or across different countries.
For heavier workloads such as engineering, design, or AI, GPU-powered virtual machines deliver the performance those applications need. Security controls come built in, and a multilingual support team is available around the clock whenever questions come up.
Discover how straightforward and cost-effective cloud computing can be, and start with V2 Cloud today.
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