Tesla V100 16GB on Ori
Visit OriOri provides the NVIDIA Tesla V100 16GB, a Volta architecture enterprise-grade GPU with 16GB HBM2 VRAM, optimized for AI, deep learning, and HPC workloads. This offering stands out through Ori's cloud-to-edge orchestration platform, enabling seamless multi-cloud and edge AI deployments. The V100 delivers exceptional mixed-precision performance—up to 125 TFLOPS FP16 with Tensor Cores—making it suitable for training large models like transformers or scientific simulations. Ori's focus on edge-to-cloud architecture complements the V100's compute prowess, allowing users to orchestrate workloads from centralized training in the cloud to inference at the edge. Ideal for ML engineers and data scientists managing distributed systems, key value propositions include per-second billing for cost-effective scaling, unified management across providers, and reduced latency for real-time AI applications. While Ori's infrastructure details are emerging, this combo offers flexibility for hybrid environments without vendor lock-in.
Why NVIDIA Tesla V100 16GB on Ori?
Choose Ori for the NVIDIA Tesla V100 16GB if your workflows demand multi-cloud orchestration and edge integration. Ori's cloud-to-edge platform uniquely extends the V100's high-throughput capabilities—such as 7.8 TFLOPS FP64 for HPC—into distributed setups, ideal for federated learning or edge inference pipelines. Per-second billing minimizes costs for intermittent training jobs, outperforming hourly models. Ori's strengths in seamless resource provisioning across clouds complement the V100's enterprise reliability, enabling quick scaling without reconfiguration. This avoids silos in traditional providers, offering a unified control plane for DevOps in AI. Limitations include potentially nascent ecosystem support compared to hyperscalers, but for orchestration-heavy users, it's a strategic fit.
Live Pricing
Real-time NVIDIA Tesla V100 16GB offers from Ori
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
![]() Ori | NVIDIA Tesla V100 16GB 16GB VRAM | 16GB | 8 vCPU 45GB RAM 300GB Storage | Lille | $0.83/GPU/hr | Available | ||
![]() Ori | NVIDIA Tesla V100 16GB 16GB VRAM | 16GB | 8 vCPU 45GB RAM 400GB Storage | Lille | $0.83/GPU/hr | Available | ||
![]() Ori | NVIDIA Tesla V100 16GB 16GB VRAM | 16GB | 8 vCPU 45GB RAM 300GB Storage | Lille | $0.83/GPU/hr | Available | ||
![]() Ori | 4×NVIDIA Tesla V100 16GB 16GB VRAM | 16GB | 32 vCPU 180GB RAM 400GB Storage | Lille | $0.83/GPU/hr $3.32/hr total (4×) | Available | ||
![]() Ori | 2×NVIDIA Tesla V100 16GB 16GB VRAM | 16GB | 18 vCPU 90GB RAM 800GB Storage | Beauharnois | $0.83/GPU/hr $1.66/hr total (2×) | Available |





Performance Notes
The V100 16GB on Ori delivers standard Volta specs: 15.7 TFLOPS FP32, 125 TFLOPS FP16 Tensor performance, and 900 GB/s HBM2 bandwidth, excelling in CNN/RNN training and HPC. Ori's multi-cloud setup likely supports NVLink-equivalent scaling for multi-GPU, but specific interconnect speeds (e.g., InfiniBand/RoCE) and host CPU pairings are undocumented—expect 100-400 Gbps network typical for enterprise clouds. Storage options may include high-IOPS NVMe via orchestration layers. Multi-GPU scaling performs well for data-parallel training, but edge handoff could introduce minor latency. No public benchmarks available; real-world throughput depends on workload and config—test with small jobs first. Honest caveat: performance mirrors on-prem V100s absent provider optimizations.
A provider focused on edge-to-cloud orchestration for multi-cloud and edge AI.
Best For
Unique Features
- Cloud-to-Edge platform architecture
VRAM
16GB
Architecture
Volta
Tier
enterprise
Platform Features
Getting Started
Getting started with NVIDIA Tesla V100 16GB on Ori is straightforward via their cloud-to-edge dashboard. Sign up, select the GPU instance, and launch within minutes. Leverage pre-built images for ML frameworks like PyTorch/TensorFlow. Per-second billing starts immediately, with orchestration tools for multi-cloud scaling—perfect for rapid prototyping to production.
Steps
- 1Create an Ori account and verify payment for per-second billing access.
- 2Navigate to the GPU marketplace or compute dashboard and filter for Tesla V100 16GB.
- 3Configure instance: select region, storage (e.g., 100GB NVMe), and ML Docker image.
- 4Launch the instance and obtain SSH/Jupyter access credentials.
- 5Connect, install dependencies via pip/conda, and run your first training job.
Pro Tips
- Use Ori's orchestration APIs to auto-scale V100 instances across clouds for bursty DL training, optimizing costs.
- Pair V100 training with edge deployment tools for end-to-end pipelines, reducing model drift in production.
- Monitor per-second usage closely; terminate idle instances to avoid charges during experimentation.
Frequently Asked Questions
What is Ori's billing model for NVIDIA Tesla V100 16GB?▾
Ori bills per-second for GPU instances including NVIDIA Tesla V100 16GB. 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 Tesla V100 16GB?▾
No, Ori does not currently offer spot instances for NVIDIA Tesla V100 16GB. 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 Tesla V100 16GB?▾
Yes, Ori offers reserved instance pricing for NVIDIA Tesla V100 16GB, 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.
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