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GPU Cloud Servers
- Multi-Core Processors
- Low-latency
- DDoS Protection
- Virtualization
- NVIDIA/AMD GPUs
- AI And Deep Learning
- 24/7 Expert Support
ETB 8,179.00ETB 9,078.00 (-10%)
Are you in need of a high-performance computing solution that can handle huge AI, ML, Rendering, and Data analytics workloads with speed and efficiency? GPU Cloud Server Background: In an isolated, virtualized cloud server environment, GPU Cloud Servers offer unparalleled processing power, adaptability, and reliability by pooling GPU, CPU, and RAM resources. They remove the need for physical GPU hardware while still delivering the scalability of the cloud, seamless performance, and cost efficiency. Built for GPU cloud computing, these servers leverage parallel execution, low-latency networking, and intelligent resource management to deliver superior processing speed and are particularly suited for training of AI models, HPC (High Performance Computing) applications, and visualization. Powered by ServerBasket’s robust infrastructure, these NVIDIA and AMD GPU cloud servers come with instant provisioning, auto-scaling, load balancing, and pay-as-you-go options. Users benefit from API/CLI management, snapshot and backup services, as well as DDoS-protected private networks and Tier-4 datacenter reliability. Have the experience of a cheap GPU cloud server solution with 99.995% uptime, centralized monitoring, and 24/7 expert support for utmost performance and security.
Key Features of GPU Cloud Servers
On-Demand Scalability with Cost Management
Our cheapest cloud GPU can be deployed on the spot by using VMware Elastic Virtual Infrastructure and vGPU or PCI passthrough. Utilizing resource pools and automated orchestration, users can independently scale vCPUs, RAM, GPUs, and NVMe storage. The pay-as-you-use pricing models, computational capacity utilization, and multi-tenant workload isolation allow AI and HPC environments to be provisioned on the lowest-cost cloud GPU platform with predictable OPEX and no CAPEX.
Designed for Analytics & Data-Intensive Workloads
Our GPU cloud services include the ability for highly parallelized computing using large virtual CPUs and RAM and NVMe drives with high-speed IOPS, along with low-latency SDN or software-defined networking (VMware High Availability/Distributed Resource Scheduler) for the needed throughput for AI/ML training, big-data analytics, deep learning, CAD rendering, and simulations.
Why Choose ServerBasket?
Free Live Migration
We use clustered hypervisors and shared file systems to allow GPU VMs to be moved without downtime. This keeps workloads balanced during infrastructure maintenance and improves the overall efficiency of our infrastructure while not affecting services or having to perform any manual redeployments.
Disaster Recovery and Backup Services
Automated backups with our GPU cloud servers use snapshots, policy-based backups, and rapid recovery of your virtual machines. Our disaster recovery architecture provides low RPO and RTO to retain your data and enable your business to continue to access your critical AI & analytical workloads.
SLA-Driven Service Availability at 99.995%
GPU cloud services with an SLA are architected to run on clustered high-availability infrastructures consisting of redundant power, network, and storage layers. Proactive monitoring of failover orchestration and resource balancing ensures performance-sensitive production workloads.
