A40 on Ori
Visit OriOri's NVIDIA A40 offering delivers a 48GB VRAM Ampere architecture GPU tailored for enterprise data center workloads, integrated into its edge-to-cloud orchestration platform. This combination stands out for enabling seamless multi-cloud and edge AI deployments, where the A40's strengths in professional visualization, rendering, and compute-intensive tasks like AI training and inference align with Ori's focus on distributed AI orchestration. Ideal for ML engineers and data scientists managing hybrid environments, it supports low-latency edge inference alongside scalable cloud training. Key value propositions include per-second billing for cost efficiency on bursty workloads, a cloud-to-edge architecture for unified management across providers, and enterprise-tier reliability. The A40 provides 10,752 CUDA cores, high memory bandwidth, and features like MIG for multi-instance partitioning, making it suitable for VDI, simulations, and large-model fine-tuning without excessive costs.
Why NVIDIA A40 on Ori?
Choose Ori for NVIDIA A40 if your workflows demand edge-to-cloud orchestration in multi-cloud setups. Ori's platform uniquely complements the A40's enterprise capabilities by enabling automated deployment from cloud training to edge inference, reducing latency for real-time AI applications. Per-second billing optimizes costs for variable workloads, unlike fixed-hour models. Ori's infrastructure supports flexible scaling across edges and clouds, leveraging A40's 48GB VRAM for memory-intensive tasks like large language model inference or rendering. This avoids vendor lock-in, with strengths in orchestration tools that simplify GPU management, making it superior for distributed teams over siloed providers.
Live Pricing
Real-time NVIDIA A40 offers from Ori
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Ori | NVIDIA A40 48GB VRAM | 48GB | 6 vCPU 48GB RAM 100GB Storage | 🌍global | $1.20/GPU/hr | Sold Out | ||
Ori | NVIDIA A40 48GB VRAM | 48GB | 24 vCPU 120GB RAM 1400GB Storage | 🌍global | $1.20/GPU/hr | Sold Out | ||
Ori | 4×NVIDIA A40 48GB VRAM | 48GB | 96 vCPU 480GB RAM 1400GB Storage | 🌍global | $1.20/GPU/hr $4.80/hr total (4×) | Sold Out | ||
Ori | 2×NVIDIA A40 48GB VRAM | 48GB | 12 vCPU 96GB RAM 100GB Storage | 🌍global | $1.20/GPU/hr $2.40/hr total (2×) | Sold Out |
Performance Notes
On Ori, expect standard A40 performance: ~30 TFLOPS FP32, 19.5 TFLOPS FP64, and excellent 48GB GDDR6 for large models. Multi-GPU scaling via NVLink is supported in compatible configs, but Ori-specific benchmarks are limited—assume competitive PCIe 4.0 interconnects. Network bandwidth likely 100Gbps+ for cloud instances, with edge nodes varying by location. Storage options include fast NVMe SSDs; orchestration aids data syncing. No public Ori A40 MLPerf scores available, so validate via trials. Strengths in viz/render; solid for training but not top for pure FP16 AI vs. H100.
A provider focused on edge-to-cloud orchestration for multi-cloud and edge AI.
Best For
Unique Features
- Cloud-to-Edge platform architecture
VRAM
48GB
Architecture
Ampere
Tier
enterprise
Platform Features
Getting Started
Getting started with NVIDIA A40 on Ori is straightforward via its intuitive dashboard. Sign up, select the A40 from the GPU catalog, launch instances with pre-configured ML environments, and leverage orchestration for edge deployment—all billed per-second for flexibility.
Steps
- 1Create an Ori account and verify via email.
- 2Navigate to the GPU marketplace and filter for NVIDIA A40.
- 3Configure instance: select region, vCPU/RAM, storage, and OS/image (e.g., Ubuntu with CUDA).
- 4Launch the instance and note the public IP or connect via Ori's console.
- 5Access via SSH/Jupyter; install dependencies like PyTorch for workloads.
Pro Tips
- Use Ori's orchestration tools to deploy A40 models from cloud to edge for minimal latency in production AI pipelines.
- Leverage per-second billing by right-sizing instances and shutting down idle ones to cut costs by up to 70%.
- Enable MIG partitioning on A40 for concurrent multi-tenant workloads, maximizing utilization in shared environments.
Frequently Asked Questions
What is Ori's billing model for NVIDIA A40?▾
Ori bills per-second for GPU instances including NVIDIA A40. Per-second billing ensures you only pay for exactly the compute time you use, which is particularly cost-effective for short experiments, iterative development, and workloads with variable duration.
Does Ori offer spot instances for NVIDIA A40?▾
No, Ori does not currently offer spot instances for NVIDIA A40. 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 Ori offer reserved instances for NVIDIA A40?▾
Yes, Ori offers reserved instance pricing for NVIDIA A40, 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 Ori for current reserved pricing and commitment terms.
Related Pages
Rent NVIDIA A40
Atlantic.net vs Ori: GPU Cloud Comparison
AWS vs Ori: GPU Cloud Comparison
Cirrascale vs Ori: GPU Cloud Comparison
NVIDIA A100 PCIe 80GB on Ori - Pricing & Availability
NVIDIA H100 PCIe on Ori - Pricing & Availability
NVIDIA H200 SXM on Ori - Pricing & Availability