A16
NVIDIA A16
- GPU1 GPU
- Core6 Core
- RAM64 GB RAM
- VRAM16 GB VRAM
- P2PP2P: No
- Disk350 GB Up to
- TypeDedicated
- NotesNVIDIA A16 Dedicated GPU
NVIDIA A16 GPU infrastructure in configurations from 1 to 16 GPUs, suited to virtual desktops, remote graphics, streaming, light inference and cost-optimized GPU workloads.
The NVIDIA A16 suits workloads that need a dedicated GPU with good cost efficiency, high user density and consistent performance for VDI or remote graphics.
The NVIDIA A16 suits virtual workstations, VDI, streaming, remote graphics and light GPU workloads.
Each GPU has 16 GB of VRAM, suited to graphics applications, virtual desktops and mid-scale image processing.
Choose configurations from 1 to 16 GPUs to scale with session count or workload.
Dedicated GPU resources keep workloads consistent and make performance and running costs easier to control.
NVIDIA A16
NVIDIA A16
NVIDIA A16
NVIDIA A16
NVIDIA A16
The NVIDIA A16 offers flexible dedicated GPU configurations for workloads that scale across multiple GPUs while controlling cost.
The A16 suits virtual desktop environments, remote graphics applications and multi-user workloads.
A balanced choice where you need a dedicated GPU but not a large amount of VRAM per GPU.
Choose 1, 2, 4, 8 or 16 GPUs to scale with your deployment.
Supports graphics applications, light rendering, encoding and remote content streaming.
Billing cycles from 1 month to 60 months.
HiTechCloud advises on drivers, CUDA, the virtual desktop environment and the right configuration for your workload.
Deploy virtual desktops, remote graphics applications and dedicated GPU work environments.
Suited to graphics streaming, image processing, media workflows and light rendering.
Run inference, small-scale computer vision, OCR and AI pipelines that need a cost-effective GPU.
Powerful capacity, optimized to accelerate AI/ML and high-performance workloads at any scale.
Training, inference, or fine-tuning - HiTechCloud offers a range of GPUs to match your needs, with transparent pricing and on-demand deployment environments.
HiTechCloud GPU instances combine NVLink/PCIe, InfiniBand (RDMA), and RAIL topology to optimize AI/HPC performance.
A network and GPU fabric designed so AI workloads scale reliably, easing bandwidth bottlenecks and holding performance at scale.
High-speed GPU-to-GPU connectivity within and between nodes, reducing bottlenecks during model training.
Low-latency connectivity optimized for distributed training and reduced processing load on the host.
A parallel network architecture delivering higher bandwidth, redundancy, and consistent performance at any scale.
From a single GPU to large clusters, HiTechCloud provisions resources ahead of demand and gets the most out of every instance.
Scale GPU resources automatically from a handful to thousands of GPUs, with forecasting and provisioning ahead of demand.
Access over SSH, TCP, and HTTP with built-in protection layers that keep enterprise data safe and access fully controlled.
Partition a single GPU into multiple independent instances to run AI workloads in parallel, improving utilization and lowering infrastructure cost.
From large-scale training to real-time inference - pay only when you actually run, on a GPU cloud platform built for every AI and high-performance workload.
From sign-up to a running GPU instance in under 5 minutes - no complex setup, no resource reservations, no charges while idle. Just deploy, run, and pay only for what you use.
A complete management platform for deploying and operating AI agents securely at scale on enterprise-grade infrastructure.
Explore AgentBaseA unified platform for training, fine-tuning, and deploying AI models at any scale.
Explore AI PlatformSupports fast search, real-time analytics, log and large-scale event data, and vector databases for RAG.
Explore Vector DatabaseManaged Kubernetes for container orchestration, AI services, and GPU cloud workloads.
Explore KubernetesDeploy systems and applications closer to your users, reducing latency and meeting local regulatory requirements.
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Large enterprises and fast-growing startups choose HiTechCloud for secure, high-performance AI cloud solutions that let them innovate and scale.
The HiTechCloud team advises on GPU architecture, networking, security, and an operating model matched to your real workloads.
Quick facts before choosing an NVIDIA A16 configuration at HiTechCloud.
Suited to VDI, virtual desktops, remote graphics, graphics streaming, light inference and cost-efficient GPU workloads.
Choose a multi-GPU configuration when you need more concurrent sessions, parallel workloads or greater total VRAM.
Yes. The A16 is optimized for VDI, remote workstations, remote graphics and multi-user environments that need a consistent GPU.
It can be used for light inference, small-model experimentation or general-purpose GPU workloads that do not require large VRAM.
Yes. HiTechCloud advises on CPU, RAM, storage, drivers and an operating approach matched to your session count.
Plans are available on 1-month, 3-month, 6-month, 12-month, and long-term cycles.
HiTechCloud helps you select the GPU count, cores, RAM, storage, driver, VDI environment and framework for your deployment.
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