NVIDIA A10 GPU

NVIDIA A10 GPU

Power AI Workloads with NVIDIA A10 GPU

Experience high-throughput computing and accelerated AI training with Cyfuture Cloud’s NVIDIA A10 GPU. Engineered for efficiency and scalability, it delivers exceptional performance for demanding enterprise AI and graphics applications.

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NVIDIA A10 GPU Overview

The NVIDIA A10 GPU delivers optimized performance for professional visualization, AI inference, and virtual desktop infrastructure on Cyfuture Cloud. Built on the Ampere architecture with 24 GB GDDR6 memory and 921 GB/s bandwidth, the NVIDIA A10 GPU excels in graphics-intensive workloads including VDI, rendering, and real-time ray tracing. Supporting up to 32 users per GPU in virtual environments, it provides enterprise-grade reliability with NVENC encoders for smooth video streaming and Tensor Cores for accelerated AI processing, making it ideal for scalable cloud deployments requiring high-density compute efficiency.

What is NVIDIA A10 GPU?

The NVIDIA A10 GPU is a high-performance Tensor Core GPU based on the Ampere architecture, designed specifically for mainstream enterprise servers and data centers. It delivers accelerated graphics, video processing, and AI inference capabilities in a compact, single-slot PCIe Gen4 form factor with 24GB GDDR6 memory. Optimized for virtual desktop infrastructure (VDI), rendering, and AI workloads, the A10 combines third-generation Tensor Cores, second-generation RT Cores, and efficient power consumption at 150W TDP, making it ideal for virtualization and cloud environments.

How NVIDIA A10 GPU Works

Ampere Architecture

Leverages NVIDIA Ampere with 10,752 CUDA cores, 336 Tensor Cores, and 84 RT Cores for parallel processing in graphics, AI, and ray tracing tasks.

Tensor Core Acceleration

Third-generation Tensor Cores enable up to 250 TOPS INT8 and 125 TFLOPS FP16 performance, accelerating AI inference and deep learning workloads efficiently.

High-Capacity Memory

24GB GDDR6 memory with 600 GB/s bandwidth handles large datasets for VDI, rendering, and multi-user virtual workstation scenarios.

PCIe Gen4 Interface

64 GB/s bidirectional bandwidth supports fast data transfer in enterprise servers and seamless integration with virtualization software like NVIDIA vGPU.

Multi-Instance GPU (MIG)

Partitions GPU into isolated instances for secure, multi-tenant environments, enabling efficient resource sharing across users or workloads.

NVENC/NVDEC Engines

Hardware-accelerated video encoding/decoding with AV1 support processes high-resolution streams for media and conferencing applications.

Passive Cooling Design

150W TDP with passive cooling relies on server airflow, optimizing density in rack-scale deployments for data centers.

Virtualization Support

Compatible with NVIDIA RTX Virtual Workstation, vPC, and AI Enterprise software for scalable remote graphics and compute delivery.​

Technical Specifications - NVIDIA A10 GPU

Compute Infrastructure

CategorySpecification
GPU architecture: NVIDIA Ampere
CUDA (shading) cores: 9,216 FP32 CUDA cores
Tensor Cores: 3rd generation Tensor Cores
RT Cores (Ray Tracing): 72 RT-cores
Memory: 24 GB GDDR6
Memory Interface / Bus Width: 384-bit memory bus
Memory Bandwidth: Up to ~600 GB/s
Interconnect / Interface: PCIe Gen4 x16, PCIe Gen4 64 GB/s interconnect bandwidth
Form Factor: Single-slot, full-height, full-length (FHFL) PCIe card
Power / Thermal Design Power (TDP): 150 W
FP32 (Single-Precision) Performance: ~31.2 TFLOPS
Tensor Performance (with sparsity): TF32: ~62.5 / 125 TFLOPS*, FP16: ~125 / 250 TFLOPS*, BFLOAT16: ~125 / 250 TFLOPS*
INT8 / INT4 (Quantized) Performance (with sparsity): INT8: up to ~250 / 500 TOPS*, INT4: up to ~500 / 1000 TOPS*
Video Encode / Decode: 1 encoder, 2 decoders (with AV1 decode support)
Multi-Instance GPU (MIG): Not supported on A10 (compared to some other Ampere GPUs)
vGPU / Virtualization Support: Supports NVIDIA vGPU stack — e.g. NVIDIA Virtual PC/vApps, NVIDIA RTX vWS (virtual workstation), NVIDIA Virtual Compute Server (vCS) / NVIDIA AI Enterprise.

Key Highlights of NVIDIA A10 GPU

Ampere Architecture

NVIDIA A10 GPU leverages Ampere architecture with 3rd-gen Tensor Cores and 2nd-gen RT Cores for superior AI and graphics performance.

Massive Memory Capacity

Equipped with 24GB GDDR6 memory and 600 GB/s bandwidth, ideal for handling large datasets in AI inference and rendering workloads.

AI Tensor Performance

Delivers up to 250 TOPS INT8 and 125 TFLOPS FP16, accelerating machine learning inference and generative AI applications efficiently.

Enterprise Virtualization

Supports NVIDIA vGPU software including vWS, vPC, and vCompute Server for secure multi-user virtual desktop infrastructure.

Compact Power Efficiency

Single-slot FHFL design with 150W TDP fits mainstream enterprise servers while maintaining high compute density.

Advanced Encoding/Decoding

Features NVENC/NVDEC with AV1 decode support for high-quality video processing and real-time streaming workloads.

PCIe Gen4 Connectivity

64 GB/s PCIe 4.0 interface ensures rapid data transfer in modern data center environments.

ECC Memory Protection

Error-correcting code safeguards data integrity for mission-critical enterprise and HPC applications.

Multi-Precision Compute

Supports FP32 (31.2 TFLOPS), TF32, BF16, and INT4 precision modes balancing accuracy and speed for diverse workloads.

Why Choose Cyfuture Cloud for NVIDIA A10 GPU

Cyfuture Cloud stands out as the premier choice for NVIDIA A10 GPU deployments due to its seamless integration of this powerful Ampere architecture GPU optimized for enterprise AI inferencing and graphics workloads. The NVIDIA A10 GPU delivers exceptional efficiency with 24GB GDDR6 memory and multi-instance GPU (MIG) support, enabling secure partitioning for multiple virtual machines—perfect for VDI, rendering, and real-time AI applications. Cyfuture's MeitY-empanelled data centers in India provide low-latency access, robust NVLink connectivity, and 99.99% uptime guarantees, ensuring your NVIDIA A10 GPU resources perform at peak capacity without geographical limitations.

Beyond hardware excellence, Cyfuture Cloud offers flexible pay-as-you-go pricing for NVIDIA A10 GPU instances, eliminating upfront capital costs while supporting Kubernetes-native orchestration for effortless scaling. Advanced security features like end-to-end encryption, DDoS protection, and compliance with GDPR/PCI-DSS standards safeguard sensitive AI models and data. With 24/7 expert support and seamless migration tools, businesses leveraging NVIDIA A10 GPUs on Cyfuture Cloud achieve faster time-to-insight, reduced operational overhead, and unmatched reliability for production-grade deployments.

Certifications

  • SAP

    SAP Certified

  • MEITY

    MEITY Empanelled

  • HIPPA

    HIPPA Compliant

  • PCI DSS

    PCI DSS Compliant

  • CMMI Level

    CMMI Level V

  • NSIC-CRISIl

    NSIC-CRISIl SE 2B

  • ISO

    ISO 20000-1:2011

  • Cyber Essential Plus

    Cyber Essential Plus Certified

  • BS EN

    BS EN 15713:2009

  • BS ISO

    BS ISO 15489-1:2016

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