Vadiweb GPU ACCELERATED AWS HYBRID FABRIC
AWS Spot & On-Demand | NVIDIA H100 SXM5 80GB Available

Accelerate Your AI with Vadiweb GPU Cloud

Scale-As-You-Go GPU Servers for AI Training & Inference. Flexible, Serverless, Minute-Based Billing powered by hybrid AWS infrastructure nodes.

Explore Models & Specs
No Card Required for Trial Sub-Second Granularity PyTorch 2.4 & CUDA 12.4
Cluster Status: ONLINE & ACTIVE
Latency: 1.8ms
AWS Infrastructure Backend
NVIDIA H100 SXM5 Array Click Canvas to Inject Network Impulse
HIGH PERFORMANCE COMPUTING ARCHITECTURE

Built Specially for AI Developers & Data Scientists

Get direct bare-metal speed paired with modern cloud elasticity. No spin-up delays, zero hidden transfer fees.

Minute-Based Billing $0.0003/s

Pay strictly for the seconds your server runs. Zero idle costs when your serverless models scale down to zero.

Scalable AWS Fleet Spot

Leverage AWS Spot instances and on-demand GPU clusters with automated checkpoint saving and instant failover.

Optimized for AI (MaaS)

Pre-configured Model-as-a-Service stack with PyTorch 2.4, CUDA 12.4, vLLM, HuggingFace, and DeepSpeed.

Developer-Friendly

Instant deployment via CLI, JupyterLab environments, passwordless SSH, and intuitive Python SDK.

ONE-CLICK MODEL DEPLOYMENT

Deploy State-of-the-Art AI Models Instantly

LLMs, Diffusers, Computer Vision, and Speech models pre-packed for zero-latency serverless deployment.

Meta / Llama 3.3 148 tok/s

Llama-3.3-70B-Instruct

Flagship open weights model optimized for complex logic and software engineering.

Min GPU: 1x H100 SXM5
DeepSeek 190 tok/s

DeepSeek-R1 Full

State-of-the-art open reasoning model tuned with vLLM tensor parallelism.

Min GPU: 2x H100 SXM5
Black Forest Labs 0.7s / image

FLUX.1 [schnell]

Ultra-fast 12B parameter image generation pipeline for real-time applications.

Min GPU: 1x RTX 4090
Stability AI 1.1s / image

SD 3.5 Large Turbo

Multi-modal generative image diffusion model tuned with TensorRT.

Min GPU: 1x L40S 48GB
OpenAI / Speech 95x Speed

Whisper Large v3

Multilingual speech transcription and translation with sub-20ms latency.

Min GPU: 1x A100 80GB
Qwen AI 175 tok/s

Qwen 2.5 Coder 32B

Top-tier coding LLM with extended 128k context window support.

Min GPU: 1x A100 80GB
TRANSPARENT MINUTE-BASED PRICING

Interactive GPU Cost Calculator

Configure your target hardware specs and runtime duration. Toggle between AWS Spot Instances and On-Demand to save up to 70% compared to legacy cloud vendors.

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No lock-ins, zero upfront setup commitments
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Per-second billing accuracy with automated scaling
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Free high-speed NVMe scratch volumes included
Execution Instance Type

Choose capacity model

GPU Count (Cluster Size) 1 GPU Node
Run Duration 10 Hours
Estimated Vadiweb Cost
$19.90 / job total
Vadiweb Rate: $1.99/hr per GPU
ENTERPRISE HARDWARE FLEET

Transparent GPU Specs & Hourly Rates

Direct bare-metal access with non-blocking 100Gbps InfiniBand interconnects.

FLAGSHIP AI
NVIDIA HGX

H100 SXM5

$1.99 / hr

$0.0331 / minute

  • 80GB HBM3 VRAM
  • 3.35 TB/s Bandwidth
  • NVLink 900 GB/s
  • 100Gbps InfiniBand
NVIDIA TENSOR

A100 80GB

$1.15 / hr

$0.0191 / minute

  • 80GB High-Speed PCIe
  • 2.0 TB/s Memory Speed
  • Multi-Instance (MIG)
  • Fine-Tuning Ready
NVIDIA UNIVERSAL

L40S 48GB

$0.78 / hr

$0.0130 / minute

  • 48GB GDDR6 ECC VRAM
  • 18,176 CUDA Cores
  • Generative AI Pipeline
  • Serverless Optimized
NVIDIA ADA

RTX 4090

$0.39 / hr

$0.0065 / minute

  • 24GB GDDR6X VRAM
  • 16,384 CUDA Cores
  • Fast Prototyping
  • Instant Jupyter Setup
PROGRAMMATIC INTEGRATION

Deploy GPUs via Terminal in Seconds

Integrate Vadiweb into your CI/CD pipelines, Jupyter notebooks, or Python scripts. Provision cluster resources programmatically.

vadiweb-cli v2.4.1 
vadiweb deploy --gpu h100-sxm5 --count 2 --model llama-3.3-70b --env pytorch-2.4
REALTIME EXECUTION SIMULATION

[READY] Click "Simulate Run" to view container lifecycle...