Building Smarter Hosting Solutions: The Power Trio
March 21, 2025
Deploy managed AI infrastructure in minutes: from a single NVIDIA L40S or A100 node to Blackwell-powered Spark systems. Dedicated GPU resources, NVMe storage, and full root access, fully AI managed hosting by our team 24/7.
NVIDIA DGX SPARK
Efficient Hosting Made Easy
€326.00 /mo
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Location: United Kingdom
Processors: 20 core Arm, 10 Cortex-X925 + 10 Cortex-A725 Arm
Memory: 128 GB LPDDR5x, unified system memory
Hard Disk: 4 TB NVME.M2
RAID: None
GPU: NVIDIA SPARK Blackwell Architecture
OS: NVIDIA DGX OS
NVIDIA V100S GPU Server
Efficient Hosting Made Easy
€983.00 /mo
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Location: United Kingdom
Processors: 2x Xeon Gold 5318Y (24C/48T, 3.40Ghz)
Memory: 256 GB LP DDR5x, unified system memory
Hard Disk: 2x 480Gb M.2 + 2x 3.84TB SAS SSD
RAID: RAID 1 + RAID 1 (Software RAID)
GPU: 2x NVIDIA V100S GPU's 32GB
OS: Ubuntu/Proxmox/Custom
NVIDIA A100 GPU Server
Powerful Hosting Solutions
€1,354.00 /mo
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Location: United Kingdom
Processors: 2x Xeon Intel 5318Y (24C/48T, 3.40Ghz)
Memory: 256 GB, unified system memory
Hard Disk: 2x 480Gb M.2 + 2x 3.84TB SAS SSD
RAID: RAID 1 + RAID 1 (Software RAID)
GPU: 1 x NVIDIA A100 GPU 40GB
OS: Ubuntu/Proxmox/Custom
NVIDIA L40S GPU Server
Maximize Your Potential
€1,520.00 /mo
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Location: United Kingdom
Processors: 2x Xeon Intel 5318Y (24C/48T, 3.40Ghz)
Memory: 256 GB, unified system memory
Hard Disk: 2x 480Gb M.2 + 2x 3.84TB SAS SSD
RAID: RAID 1 + RAID 1 (Software RAID)
GPU: 1 x NVIDIA L40S GPU 48GB
OS: Ubuntu/Proxmox/Custom
Data Analytics & Big Data
With high memory bandwidth and NVMe-backed storage, our AI GPU servers accelerate large-scale data processing - from ETL pipelines and Spark workloads to vector databases powering RAG and semantic search. Analytics jobs that take hours on CPUs complete in minutes.
AI Inference & Real-Time Serving
Deploy production models on high-performance GPU server hosting built for low-latency, real-time workloads: chatbots and LLM APIs, recommendation engines, fraud detection, and computer vision. GPUs like the NVIDIA L40S deliver fast, predictable response times even under heavy concurrent load.
Generative AI & Deep Learning
Run and fine-tune modern architectures - LLMs, diffusion models for image and video generation, and multimodal networks. Ample VRAM and optimized CUDA environments let you work with today's transformer-based models, not just classic CNNs and RNNs.
AI Training & Fine-Tuning
Our AI training infrastructure combines thousands of GPU cores with fast NVMe storage for distributed training, LoRA/QLoRA fine-tuning, and reinforcement learning. Train on dedicated NVIDIA A100 nodes and scale up as your datasets and models grow.
NVIDIA Spark Blackwell Architecture Newest
- Latest-generation Blackwell architecture with FP4/FP8 precision
- 128 GB unified memory for large-model fine-tuning
- Ideal for: LLM prototyping, fine-tuning, generative AI development
NVIDIA L40S - 48GB Best for Inference
- Ada Lovelace architecture, 4th-gen Tensor Cores
- 48 GB GDDR6: fits most production LLMs and diffusion models
- Ideal for: real-time inference, generative AI serving, mixed AI + rendering workloads
NVIDIA A100 - 40GB Proven Workhorse
- Industry-standard data center GPU, 3rd-gen Tensor Cores
- 40 GB HBM2e with high memory bandwidth
- Ideal for: model training, batch inference, HPC workloads
NVIDIA V100S - 2× 32GB Smart Start
- Dual-GPU configuration, 64 GB total VRAM
- Cost-effective entry into GPU compute
- Ideal for: classic ML, small-model training, development environments
Feature | 2× V100S 32GB | A100 40GB | L40S 48GB | Spark (Blackwell) |
|---|---|---|---|---|
Architecture
| Volta – proven data center architecture, battle-tested in production for years | Ampere – the industry standard for enterprise AI | Ada Lovelace – modern architecture with 4th-gen Tensor Cores | Blackwell Architecture: Next-gen compute with FP4 precision & 2nd Gen Transformer Engine. Designed for trillion-parameter LLM inference & massive scaling. |
GPU Memory
|
64 GB combined VRAM across two GPUs – great capacity per euro
|
40 GB HBM2e with exceptional memory bandwidth
|
48 GB GDDR6 with ECC: High-density capacity for single-card LLM inference (Llama 3 70B quantized) & FLUX diffusion models.
|
128 GB unified memory for large-model workloads
|
Key Strength
| Maximum Cost-Efficiency: Dual-GPU setup delivering 64 GB total VRAM. Low-cost entry point for parallel ML tasks without high hardware overhead.
| Proven workhorse with MIG support: Split 1 GPU into up to 7 isolated instances. Powered by 1,555 GB/s HBM2e bandwidth for maximum SXM/PCIe efficiency.
| Outstanding inference performance and versatility (AI + rendering + VDI)
| Latest-generation performance for modern transformer models
|
Ideal Workloads
| Classic ML, small-model training, dev & staging environments
| Model training, batch inference, HPC workloads
| Real-time LLM serving, generative AI, mixed workloads
| LLM fine-tuning, prototyping, generative AI development
|
Best For Teams That…
| Want reliable GPU compute at the lowest entry cost
| Need a trusted standard their frameworks are optimized for
| Serve models in production and need fast, predictable latency
| Work with the newest models and want maximum future-proofing
|
The Right GPU for Every Stage
Match hardware to workload: prototype on a cost-efficient dual V100S setup, train on NVIDIA A100 nodes with high-bandwidth HBM2e memory, serve production inference on the L40S, or fine-tune the largest models on Blackwell-powered Spark systems with 128 GB unified memory.
NVMe Storage That Feeds Your GPUs
Training is only as fast as your data pipeline. Local NVMe drives deliver the read throughput needed to keep GPU utilization high - no starved accelerators, no idle compute time, no wasted budget on underfed hardware.
Dedicated Resources, Not Shared Slices
Unlike public gpu cloud platforms, every configuration runs on dedicated hardware. Your training jobs get the full GPU, full memory bandwidth, and predictable epoch times - with no noisy neighbors competing for compute.
Ready-to-Train Environments
Every server ships with the NVIDIA driver stack, CUDA toolkit, and container runtime pre-configured. Pull your PyTorch or TensorFlow image, mount your dataset, and start training - our team maintains the stack underneath.
Low-Latency Networking for Inference
When models go to production, our low latency AI hosting keeps response times predictable - providing high-throughput network routes and strategically located data centers for real-time LLM APIs, recommendation engines, and computer vision pipelines.
Enterprise-Grade Foundation
Our enterprise AI infrastructure hosting runs on ISO 27001-certified processes with DDoS protection, access control, and backup options - delivering the compliance baseline that fintech, healthcare, and regulated industries demand.
AI infrastructure hosting provides the GPU compute, NVMe storage, and networking required to train, fine-tune, and deploy machine learning models. At HostingB2B, this ranges from a dual V100S setup to Blackwell-powered NVIDIA Spark systems - all on dedicated hardware in EU and UK data centers.
Our AI managed hosting covers the full stack: server provisioning, NVIDIA drivers and CUDA environments, monitoring, security patching, and backups, with 24/7 engineer support. It works alongside our broader Managed Services, so your team focuses on models instead of operations.
Our AI GPU servers come in four configurations: 2× V100S 32GB, A100 40GB, L40S 48GB, and NVIDIA Spark on the Blackwell architecture. Each is matched to a workload tier - from classic ML to large-model fine-tuning.
Yes - NVIDIA A100 hosting is the industry standard for training, with 40 GB HBM2e memory, 1,555 GB/s bandwidth, and MIG support for splitting one GPU into up to 7 isolated instances. It's the proven choice for batch inference and HPC workloads as well.
Low latency AI hosting means your inference endpoints respond in predictable, minimal time - critical for LLM APIs, fraud detection, and real-time recommendations. We achieve this with premium network routes and strategically located UK and EU data centers.
In a shared GPU cloud, you compete with other tenants for resources; with dedicated GPU server hosting, the full GPU, memory bandwidth, and NVMe storage are yours alone. The result is predictable training times and stable inference performance.
Our enterprise GPU hosting runs on ISO 27001-certified processes with DDoS protection, access control, and backup options - see our ISO Certification for details. This gives AI compute hosting the compliance baseline that fintech, healthcare, and other regulated industries require.
Yes - if you already own GPU servers or AI appliances, our Colocation Hosting provides the power density, cooling, and connectivity they demand across Cyprus, Malta, Dubai, Amsterdam, and the UK. Request a quote and we'll respond within 24 hours.
Our AI hosting infrastructure combines dedicated NVIDIA hardware, AI server hosting managed end to end by engineers available 24/7, and AI training infrastructure hosting that scales from a single node to multi-GPU configurations. You get one provider for compute, support, and compliance.
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- +357 24 205888
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© 2026 All Rights Reserved. HostingB2B
Hosting B2B LTD is a Company registered in Cyprus with Company number HE410139 and VAT CY10410139C
- +357 24 205888
- +357 96 881688
- admin[at]hostingb2b.com
- sales[at]hostingb2b.com
© 2026 All Rights Reserved. HostingB2B