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Yes, Cyfuture Cloud offers long-term discounts for GPU as a Service (GPUaaS). Customers committing to 12-month or longer contracts can receive up to 30% off standard hourly or monthly rates, depending on resource allocation, volume, and specific GPU models like NVIDIA A100 or H100. These discounts make high-performance computing more affordable for AI, ML, and rendering workloads.
Cyfuture Cloud, a leading Indian cloud provider based in Delhi, specializes in scalable GPU infrastructure tailored for demanding applications. GPU as a Service delivers virtualized access to powerful NVIDIA GPUs without the need for upfront hardware investments. This model supports machine learning training, deep learning inference, scientific simulations, 3D rendering, and high-performance computing (HPC) tasks. But for enterprises planning extended projects, cost predictability is key—which brings us to long-term discounts.
Cyfuture's GPUaaS provides on-demand or reserved instances with GPUs such as A100, V100, RTX A6000, and emerging H100 options. Pricing starts at competitive rates: for example, an A100 instance might cost ₹50-₹100 per hour on pay-as-you-go, scaling down with usage. Short-term flexibility suits bursty workloads, like one-off model training. However, sustained use—common in AI research, video production, or fintech modeling—benefits from committed contracts.
Long-term discounts recognize this. By locking in usage for 12, 24, or 36 months, customers shift from variable hourly billing to fixed monthly fees. This reduces costs significantly while ensuring priority access to GPU clusters during peak demand.
Cyfuture structures discounts around commitment levels:
- 12-Month Commitment: 15-20% off. Ideal for mid-sized projects, like training a single large language model (LLM).
- 24-Month Commitment: 25-30% off. Suited for ongoing production environments, such as real-time inference pipelines.
- Custom Enterprise Plans (36+ Months): Up to 35% off, plus perks like dedicated clusters, custom SLAs, and free data transfer.
|
Commitment Length |
Discount Range |
Example Savings (A100, 8x GPU Instance) |
Best For |
|
Pay-as-You-Go |
0% |
₹75/hour (₹54,000/month est.) |
Testing/short bursts |
|
12 Months |
15-20% |
₹60/hour (₹43,200/month) |
ML development |
|
24 Months |
25-30% |
₹52.50/hour (₹37,800/month) |
Production AI |
|
36+ Months |
30-35% |
₹48.75/hour (₹35,100/month) |
Enterprise HPC |
These figures are illustrative based on standard A100 pricing as of February 2026; actual quotes vary by region, taxes (GST-inclusive in India), and add-ons like storage or networking.
Discounts apply to reserved instances, where you pre-allocate vGPUs or full instances. Unlike spot instances (which offer deeper but interruptible savings), reservations guarantee uptime >99.9% with Cyfuture's Delhi-NCR data centers boasting redundant power and cooling.
Any verified account qualifies, but larger commitments unlock better rates. Steps to access:
1. Assess Needs: Use Cyfuture's GPU calculator (available on their dashboard) to estimate usage.
2. Contact Sales: Submit a request via the portal or email
4. Provide projected hours, GPU type, and duration.
5. Negotiate Terms: Sales teams offer tailored quotes, often bundling with CPU instances, object storage, or managed Kubernetes.
6. Sign Contract: Digital agreements with flexible scaling clauses (e.g., ±20% capacity adjustment).
Deploy: Instant provisioning post-payment.
No minimum spend for basic discounts, but enterprises with ₹5L+ annual spend get priority support. Indian businesses benefit from local compliance (MeitY empanelled) and rupee billing, avoiding forex fluctuations.
Long-term plans deliver more than savings:
- Cost Predictability: Fixed budgets aid financial planning.
- Performance Guarantees: Reserved capacity avoids queueing.
- Scalability: Hybrid options mix reserved and on-demand.
- Support Perks: 24/7 priority access, custom AMIs, and integration with tools like TensorFlow, PyTorch, or Stable Diffusion.
Compared to global giants like AWS or GCP, Cyfuture's GPUaaS shines in cost (20-40% lower for equivalent specs) and latency for APAC users, thanks to edge locations.
Real-world example: A Mumbai-based AI startup saved 28% on a 24-month H100 reservation for video generation models, scaling from 4x to 16x GPUs mid-term without penalties.
Commitments aren't for everyone. Early termination incurs fees (e.g., 50% of remaining value). Mitigate by starting with shorter terms or using Cyfuture's "commitment converter" tool, which credits unused pay-as-you-go toward reservations.
Long-term discounts make Cyfuture Cloud's GPUaaS a smart choice for sustained high-compute needs, slashing costs by up to 35% while ensuring reliability. Ideal for Indian enterprises leveraging local infrastructure, these plans turn GPU power into a predictable asset. Contact Cyfuture today to quote your workload and lock in savings—start with their free trial to test the waters.
Q: What GPU models support long-term discounts?
A: All major NVIDIA models, including A100, H100, V100, A40, and RTX series. H100 offers the deepest discounts due to high demand.
Q: Can discounts be combined with other promotions?
A: Yes, stack with volume discounts (10%+ for 100+ GPUs) or academic/research grants (up to 50% for verified institutions).
Q: Is there a free trial for long-term plans?
A: Trials are pay-as-you-go only; apply credits toward commitments after 30 days of usage.
Q: How does billing work for reserved instances?
A: Monthly invoicing in INR, prepaid quarterly for deeper discounts, with auto-scaling options.
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