NVIDIA A100 40 GiB/80 GiB GPU infrastructure with options from 1 to 16 GPUs, supporting AI, HPC, inference, and intensive training workloads.
The NVIDIA HGX A100 is built for AI training, fine-tuning, inference, and HPC workloads that need powerful GPUs, large VRAM, and multi-GPU scaling.
A100 GPU infrastructure for AI training, inference, HPC, and big data workloads.
A100 configurations from 1 to 16 GPUs, suiting deployments of every size.
Optional HGX node with 2x Intel Platinum 8480+ and 224 cores / 448 threads.
Multi-GPU configurations provide large total VRAM for big batches, large models, and HPC.
8x NVIDIA HGX A100
NVIDIA A100 SXM4
NVIDIA A100 80 GiB
NVIDIA A100 40 GiB
NVIDIA A100 80 GiB
NVIDIA A100 80 GiB
NVIDIA A100 40 GiB
NVIDIA A100 80 GiB
NVIDIA A100 80 GiB
NVIDIA A100 80 GiB
NVIDIA A100 80 GiB
NVIDIA A100 40 GiB
The NVIDIA HGX A100 offers options from a single GPU to multi-GPU, so you can scale as your AI product matures.
The A100 is a widely used GPU platform for inference, training, fine-tuning, and AI pipelines.
Choose 1, 2, 4, 8, or 16 A100 GPUs to match your workload and budget.
A100 40 GiB and 80 GiB configurations, to optimize cost or handle large models.
The NVIDIA HGX A100 plan suits environments that need dedicated high-performance GPU nodes.
Billing cycles from 1 month to 60 months.
HiTechCloud advises on the configuration, drivers, runtime, and AI framework that fit.
Deploy the A100 for model training, fine-tuning, embeddings, and AI applications.
Optimized for inference, batch processing, recommendation, and production AI services.
Accelerate simulation, rendering, scientific computing, and data-intensive processing.
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.
Key points to know before choosing an NVIDIA HGX A100 configuration at HiTechCloud.
Suited to AI training, fine-tuning, inference, HPC, simulation, rendering, and any workload that needs high-performance A100 GPUs.
1 GPU suits experimentation, small-scale fine-tuning, and inference. 2, 4, 8, or 16 GPUs suit training, high-load inference, and large models.
Yes. The HGX A100 suits distributed training, fine-tuning large models, high-load inference, and any workload that needs multiple GPUs.
When you need higher GPU density, better scaling, and consistent performance for large-scale training or HPC.
Yes. HiTechCloud advises on drivers, CUDA, frameworks, storage, containers, and the runtime configuration that fits your workload.
Available on 1-month, 3-month, 6-month, 12-month, and long-term cycles.
HiTechCloud helps you select the GPU count, VRAM, CPU cores, storage, runtime environment, and an operating plan that fits your budget.
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