Professional GPUs represent high-performance graphics processing units engineered for demanding enterprise workloads beyond consumer gaming. Optimized for parallel computing, these GPUs excel in AI model training, 3D rendering, scientific simulations, and real-time data visualization with superior memory bandwidth, ECC support, and multi-precision computing capabilities. Leading models like NVIDIA A100, H100, and RTX professional series deliver enterprise-grade reliability through certified drivers, extended warranties, and ISV certifications ensuring seamless integration with CAD, VFX, and ML frameworks.
Professional GPUs are specialized graphics processing units designed for enterprise, workstation, and data center environments, optimized for demanding computational tasks beyond consumer gaming. Unlike consumer GPUs focused primarily on graphics rendering, professional GPUs emphasize reliability, scalability, precision computing, and support for multi-user environments. They excel in parallel processing for AI, machine learning, scientific simulations, CAD/CAM, 3D rendering, and high-performance computing (HPC) workloads.
Thousands of smaller cores enable simultaneous execution of compute-intensive tasks, accelerating matrix operations critical for AI training and scientific modeling.
Advanced HBM or GDDR memory architectures provide rapid data access, essential for handling large datasets in deep learning and real-time analytics.
Error-correcting code ensures data integrity during long-running enterprise computations, preventing corruption in mission-critical applications.
Partition single GPU into isolated instances for secure multi-tenancy, ideal for cloud providers serving multiple customers simultaneously.
High-speed GPU-to-GPU communication enables seamless scaling across multi-GPU configurations for massive model training.
Support FP64 double-precision for scientific accuracy alongside FP16/FP8 for AI efficiency, balancing performance and reliability.
ISV-certified drivers ensure stability with professional software like Autodesk, ANSYS, and TensorFlow in production environments.
| Feature | Specification |
|---|---|
| Supported GPU Series: | NVIDIA L40S, A100, H100, RTX 6000 Ada, T4 |
| GPU Architecture: | Ada Lovelace / Ampere / Hopper |
| GPU Memory: | 16 GB – 80 GB HBM3 (model specific) |
| Memory Bandwidth: | Up to 3.35 TB/s (H100 SXM) |
| GPU FP64 Performance: | Up to 34 TFLOPS (H100) |
| GPU FP32 Performance: | Up to 67 TFLOPS (H100) |
| Tensor Compute: | Up to 4,000 TFLOPS (H100 Tensor Mark) |
| NVLink: | Up to 900 GB/s (H100 NVLink 4) |
| Multi-GPU Topology: | NVLink, PCIe Gen5, GPU Direct RDMA |
| Feature | Specification |
|---|---|
| CPU Options: | AMD EPYC 9654 / Intel Xeon Scalable Gen4 |
| Total Cores per Node: | 32–256 cores |
| RAM Capacity: | 128 GB – 4 TB DDR5 ECC |
| RAM Bandwidth: | Up to 460 GB/s |
| Storage Types: | NVMe Gen4, SSD, Object Store |
| Local NVMe: | Up to 32 TB per node |
| Cluster Storage: | Ceph-based distributed storage |
| OS Compatibility: | Ubuntu, Rocky Linux, Debian, Windows Server |
| Feature | Supported |
|---|---|
| Bare Metal Provisioning: | Yes |
| GPU Virtualization: | NVIDIA vGPU |
| Virtualization Platform: | KVM + QEMU |
| Container Orchestration: | Kubernetes, Docker |
| AI/ML Toolkits Pre-Optimized: | CUDA, cuDNN, TensorRT |
| Multi-Tenant Isolation: | SR-IOV + vGPU profiles |
| Hypervisor Bypass (for HPC): | GPU Passthrough via PCIe/NVLink |
| Feature | Specification |
|---|---|
| Network Ports: | 10/25/40/100/200/400 Gbps |
| RDMA Fabric: | RoCE v2 Compatible |
| Interconnect: | InfiniBand HDR/NDR |
| IP Allocation: | Dual stack IPv4/IPv6 |
| Load Balancing: | L4/L7 Managed |
| DDoS Protection: | Included |
| Category | Supported Frameworks |
|---|---|
| AI/ML Stack: | Torchflow, PyTorch, MXNet, JAX |
| LLM Frameworks: | HuggingFace, Triton, vLLM |
| Data Analytics: | Apache Spark, RAPIDS |
| Rendering: | Blender, Arnold, Octane |
| Simulation / Scientific: | MATLAB, Ansys, Abaqus |
| DevOps: | CI/CD Integration |
| API & Automation: | Terraform, Ansible, Helm |
| Feature | Specification |
|---|---|
| Data Encryption: | AES-256 Encryption at Rest |
| In-Transit Security: | TLS 1.3 |
| Identity & Access: | IAM + MFA |
| Compliance: | ISO 27001, ISO 20000, SOC 2 |
| Sovereign Cloud Options: | India-based Datacenters |
| Hardware Root of Trust: | TPM 2.0 |
| Feature | Benefit |
|---|---|
| NVIDIA GPU Direct: | Low latency for workloads |
| NVLink Mesh: | Multi-GPU training at scale |
| AI-Optimized Storage: | Faster dataset loading |
| Intelligent Auto-Scaling: | On-demand GPU bursts |
| Monitoring & Profiling: | Real-time GPU/CPU metrics |
Professional GPUs feature thousands of cores optimized for simultaneous computations in AI training and scientific simulations.
Advanced HBM3e and GDDR6X memory delivers rapid data throughput for handling massive datasets in enterprise workloads.
Error-correcting code ensures reliability during extended compute runs, critical for financial modeling and medical research.
MIG technology enables secure isolation of GPU resources for multi-tenant cloud environments and virtualization.
High-speed interconnects support seamless multi-GPU clustering for exascale computing and large language models.
Dual support for FP64 scientific accuracy and FP8 AI efficiency balances performance across diverse applications.
Vendor-validated drivers guarantee compatibility with CAD, rendering, and ML frameworks in production settings.
Advanced cooling sustains 24/7 operation under heavy loads in data centers and workstations.
Cyfuture Cloud stands out as the premier choice for professional GPUs due to its enterprise-grade infrastructure optimized for mission-critical workloads. With access to cutting-edge NVIDIA A100, H100, and H200 professional GPUs, Cyfuture delivers unmatched parallel processing power, high-bandwidth HBM3e memory, and ECC-protected reliability essential for AI training, scientific simulations, and 3D rendering. Hosted in MeitY-empanelled Tier III data centers across India, the platform ensures data sovereignty, 99.99% uptime, and compliance with global standards like GDPR and ISO 27001, making it ideal for regulated industries.
Cyfuture Cloud's professional GPUs come with flexible deployment options including on-demand cloud access, reserved instances, and dedicated GPU servers, all backed by NVLink interconnects for seamless multi-GPU scaling. Competitive pricing eliminates upfront hardware costs while offering pay-as-you-go models, automated scaling, and Kubernetes-native orchestration for effortless management. Comprehensive support includes ISV-certified drivers, 24/7 expert assistance, and performance optimization tools, empowering enterprises to maximize ROI on professional GPUs for HPC, machine learning, and visualization workloads.

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Since partnering with Cyfuture Cloud for complete managed services, Boloro Global has experienced a significant improvement in their IT infrastructure, with 24x7 monitoring and support, network security and data management. The team at Cyfuture Cloud provided customized solutions that perfectly fit our needs and exceeded our expectations.
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Thanks to Cyfuture's private cloud services, our European and Indian teams are now working seamlessly together with improved coordination and efficiency.
The Cyfuture team helped us streamline our database management and provided us with excellent dedicated server and LMS solutions, ensuring seamless operations across locations and optimizing our costs.














The NVIDIA RTX A6000 GPU is a professional workstation graphics card featuring 48GB GDDR6 memory with ECC, 10,752 CUDA cores, and RT/Tensor cores for ray tracing and AI acceleration, ideal for CAD, rendering, and data science workloads on Cyfuture Cloud.
It offers 48GB GDDR6 ECC memory, 10,752 CUDA cores, 336 Tensor cores, 84 RT cores, up to 38.7 TFLOPS FP32 performance, and NVLink support for multi-GPU configurations, making it perfect for professional applications hosted on Cyfuture Cloud.
The NVIDIA RTX A6000 GPU accelerates AI training and inference with its Ampere architecture Tensor cores, enabling faster model development for deep learning frameworks like TensorFlow and PyTorch on Cyfuture Cloud's scalable infrastructure.
Yes, with 84 RT cores and 48GB VRAM, the NVIDIA RTX A6000 GPU excels in real-time ray tracing and complex scene rendering for tools like Blender, Maya, and V-Ray, available through Cyfuture Cloud's GPU-accelerated instances.
The NVIDIA RTX A6000 GPU provides 48GB of GDDR6 ECC memory, allowing handling of massive datasets and high-resolution textures without swapping, optimized for Cyfuture Cloud's professional GPU hosting.
Yes, Cyfuture Cloud enables NVLink-connected multi-GPU NVIDIA RTX A6000 configurations for enhanced scalability in simulation, visualization, and HPC tasks, with seamless orchestration via Kubernetes.
The NVIDIA RTX A6000 GPU has a 300W TDP and requires a single 8-pin power connector plus PCIe slot power, fully supported in Cyfuture Cloud's high-density GPU servers with redundant power supplies.
Absolutely, the NVIDIA RTX A6000 GPU is ISV-certified for AutoCAD, SolidWorks, ANSYS, and Siemens NX, delivering smooth performance for large assemblies and simulations on Cyfuture Cloud workstations.
Cyfuture Cloud offers on-demand, reserved, and spot pricing for NVIDIA RTX A6000 GPU instances, with pay-as-you-go billing starting from competitive hourly rates, eliminating upfront hardware costs.
Cyfuture Cloud provides enterprise-grade cooling, 99.99% uptime SLAs, ECC memory protection, and 24/7 monitoring for NVIDIA RTX A6000 GPUs, hosted in MeitY-empanelled Tier III data centers.
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