RTX A4000 on Hyperstack
Visit HyperstackHyperstack delivers the NVIDIA RTX A4000, a 16GB GDDR6 workstation GPU based on Ampere architecture, tailored for professional visual computing, AI inference, and machine learning visualization. With 6,144 CUDA cores, 192 tensor cores, and up to 19.2 TFLOPS FP32 performance, it excels in ray-traced rendering, moderate model training, and data analysis pipelines. Hyperstack's unique 100% renewable energy usage positions this offering as ideal for sustainability-focused European enterprises requiring GDPR-compliant infrastructure. Key value propositions include flexible per-minute billing, minimizing costs for bursty workloads; AI Studio for seamless generative AI workflows; and enterprise-grade reliability. ML engineers benefit from efficient single-GPU setups for tasks like Omniverse simulations or Stable Diffusion inference, combining high-fidelity visuals with eco-conscious operations without compromising on professional features.
Why NVIDIA RTX A4000 on Hyperstack?
Hyperstack's RTX A4000 stands out for users prioritizing sustainability and compliance. The provider's 100% renewable energy perfectly complements the A4000's 140W TDP efficiency, enabling green computing for viz-heavy ML tasks. Per-minute billing offers granular cost control for prototyping or intermittent inference, unlike hourly models. EU-based data centers ensure GDPR adherence and low-latency access for European teams. AI Studio simplifies gen AI deployments on the GPU's RT and tensor cores. This combo suits workstation-scale workloads—CAD, rendering, smaller LLMs—leveraging Hyperstack's enterprise reliability without multi-GPU overhead. Ideal if scalability isn't primary; less so for massive training clusters.
Live Pricing
Real-time NVIDIA RTX A4000 offers from Hyperstack
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Hyperstack | NVIDIA RTX A4000 16GB VRAM | 16GB | 4 vCPU 21GB RAM 100GB Storage | Norway | $0.15/GPU/hr | Available | ||
Hyperstack | 4×NVIDIA RTX A4000 16GB VRAM | 16GB | 16 vCPU 86GB RAM 500GB Storage | Norway | $0.15/GPU/hr $0.60/hr total (4×) | Sold Out | ||
Hyperstack | 8×NVIDIA RTX A4000 16GB VRAM | 16GB | 32 vCPU 172GB RAM 900GB Storage | Norway | $0.15/GPU/hr $1.20/hr total (8×) | Sold Out | ||
Hyperstack | 10×NVIDIA RTX A4000 16GB VRAM | 16GB | 56 vCPU 215GB RAM 1300GB Storage | Norway | $0.15/GPU/hr $1.50/hr total (10×) | Sold Out | ||
Hyperstack | 2×NVIDIA RTX A4000 16GB VRAM | 16GB | 8 vCPU 43GB RAM 200GB Storage | Norway | $0.15/GPU/hr $0.30/hr total (2×) | Sold Out |
Performance Notes
On Hyperstack, the RTX A4000 delivers reliable workstation performance: ~19 TFLOPS FP32, strong TensorRT/RTX optimizations for inference and viz. Expect NVMe storage (speeds unknown) and 10-100Gbps networking typical of enterprise providers, supporting data pipelines. Single-GPU focus limits NVLink scaling; best for 1x instances with <16GB VRAM models like fine-tuning BERT or Stable Diffusion. Renewable energy has no perf impact. Unknowns include exact interconnect latency, preemptible availability, or MLPerf benchmarks—test via custom workloads. Solid for interactive Jupyter sessions; monitor GPU util via nvidia-smi for bottlenecks.
A provider focused on sustainable, enterprise-grade GPU acceleration using 100% renewable energy.
Best For
Unique Features
- 100% renewable energy
- AI Studio for generative AI workflows
VRAM
16GB
Architecture
Ampere
Tier
workstation
Platform Features
Getting Started
Launch NVIDIA RTX A4000 on Hyperstack quickly through their intuitive dashboard. Focus on sustainable, GDPR-compliant instances for ML/viz. Select pre-configured images (PyTorch, TensorFlow), scale CPU/RAM, and use AI Studio for gen AI. Per-minute billing activates on deploy; connect via SSH/VNC for immediate productivity.
Steps
- 1Sign up on Hyperstack, verify account for enterprise/GDPR access.
- 2Browse GPU catalog, select RTX A4000 instance type and EU region.
- 3Configure specs: CPU cores, RAM, NVMe storage, ML Docker image.
- 4Review per-minute costs, launch instance, and obtain connection details.
- 5SSH/Jupyter in, install packages, and start workloads via dashboard.
Pro Tips
- Leverage AI Studio templates for rapid gen AI setup on A4000's RT cores, saving hours on config.
- Attach persistent volumes for datasets to minimize upload times and costs on repeated sessions.
- Track sustainability metrics in dashboard for ESG reporting while optimizing GPU util with nvidia-smi.
Frequently Asked Questions
What is Hyperstack's billing model for NVIDIA RTX A4000?▾
Hyperstack bills per-minute for GPU instances including NVIDIA RTX A4000. Check their pricing page for the most current billing details.
Does Hyperstack offer spot instances for NVIDIA RTX A4000?▾
No, Hyperstack does not currently offer spot instances for NVIDIA RTX A4000. All instances are billed at on-demand rates. However, they do offer reserved instances for committed usage, which can provide significant discounts for long-term workloads.
Does Hyperstack offer reserved instances for NVIDIA RTX A4000?▾
Yes, Hyperstack offers reserved instance pricing for NVIDIA RTX A4000, which can provide significant discounts (typically 20-40% off on-demand rates) for committed usage periods. Reserved instances are ideal for predictable, long-running workloads like production inference services, ongoing training pipelines, or development environments that run continuously. Contact Hyperstack for current reserved pricing and commitment terms.
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