Shakti Serverless GPUs
Redefining How AI Gets Built and Deployed
Shakti Serverless GPUs simplify AI deployment by delivering elastic, pay-as-you-go GPU compute without the burden of managing physical hardware. Designed for enterprises, startups, and researchers, it enables seamless training, fine-tuning, and deployment of AI models using familiar frameworks. Built for real-time AI workloads, Shakti Serverless GPUs deliver rapid scaling, low cold start, and application-level SLA enforcement, empowering teams to focus on innovation and accelerate time-to-market across diverse use cases.
Built with the Best
From Labs to Industries, Real Impact at Scale
Shakti Serverless GPUs deliver the high-performance, low-latency compute needed to power modern content pipelines. Studios and platforms can process and stream video in real time, accelerate post-production editing, and generate AI-driven content automatically
With scalable GPU power, researchers can accelerate molecule simulations and genomics analysis, while hospitals benefit from real-time imaging diagnostics and AI-assisted decision support. This shortens drug discovery cycles, enhances patient care, and enables clinicians to act with confidence at the point of need.
Financial institutions gain the ability to run fraud detection algorithms in real time, ensuring instant protection against suspicious activity. Risk models can be processed faster, delivering more accurate insights for trading, compliance, and portfolio management.
Retailers can get real-time pricing optimisation, instantly adjusting to demand and competition. AI-powered recommendation engines create hyper-personalised shopping experiences, boosting conversions and customer engagement. Automated catalog descriptions reduce manual effort and time-to-market for new products, keeping businesses agile in a fast-moving landscape.
With Shakti Serverless GPUs, manufacturers can predict equipment failures before they occur, reducing downtime and operational costs. Engineers can run large-scale simulations for product design and testing at unmatched speed. Digital twins powered by AI offer a virtual replica of production lines, enabling optimisation and innovation with lower risk.
Serverless GPU Advantage
End-to-End AI Compute with Auto-Scaling and Metric-Based Triggers
On-Demand Model Hosting
Deploy custom containers in a serverless GPU environment, eliminating the need for dedicated infrastructure.
Fractional GPU Usage
Optimise costs by using only a fraction of GPU resources for fine-tuning and inferencing.
Elastic Scaling
Instantly scale down to zero during idle periods or scale up to multiple GPUs at once.
Application-Level SLA Enforcement
Guarantees performance reliability with control over TTFT, latency, and concurrency metrics.
Batch Processing & Large-Scale Inferencing
Run massive datasets, real-time inferencing, and simulations efficiently without infrastructure bottlenecks.
Modular Architecture
Easily swap or customise components to adapt pipelines for specific AI/ML use cases.
Enhanced ML Stack Add-ons
Extend functionality with LoRAs, message queuing, ensembling, and other advanced tools.
Custom Ranges & Triggers
Define min–max pods (e.g., 1–8) and combine triggers like latency + memory for smarter scaling.
Peak Performance
Modular Architecture for Flexible AI Workflows
- Model & Infra Metrics
- Multi-Metric Logic & Custom Range
- Auto-Scaling GPUs
- Framework Compatibility
- Container-Based Deployment
- Secure Cloud Environment
Model & Infra Metrics
Monitor GPU utilization, memory, latency, and throughput in real time with unified dashboards. End-to-end observability ensures full visibility into application and infrastructure health.
Multi-Metric Logic & Custom Range
Define scaling logic across multiple performance metrics (e.g., latency + GPU load) and configure custom thresholds to fine-tune scaling behavior for specific workloads.
Auto-Scaling GPUs
Elastic scaling of H100 and L40S GPUs based on workload demand. Scale seamlessly from a single request to enterprise-level concurrent sessions without downtime.
Framework Compatibility
Fully optimized for TensorFlow, PyTorch, ONNX Runtime, Hugging Face models, and NVIDIA NGC containers, ensuring flexibility across ML and GenAI workloads.
Container-Based Deployment
Deploy workloads securely in containerized environments (Docker, Kubernetes-native) for high performance and easy portability.
Secure Cloud Environment
Runs on Yotta’s Tier IV data centers with enterprise-grade security, data encryption, and compliance certifications.
Why Shakti Cloud Works for You
Flexible GPU pricing that scales with your workloads
- Per Min Price
- Per Month Price
| Name | Product Description | Spot (Per Minute) |
|---|---|---|
| 1 x 80 GB H100 Shakti Studio – Serverless | Shakti Cloud Serverless Dedicated Instance with GPU Type: H100 GPU Memory Per Card: 80GB Total Number of Card: 1 Total GPU Memory: 80GB Unlimited ingress and egress. |
₹ 396 |
| 2 x 80 GB H100 Shakti Studio – Serverless | Shakti Cloud Serverless Dedicated Instance with GPU Type: H100 GPU Memory Per Card: 80GB Total Number of Cards: 2 Total GPU Memory: 160GB Unlimited ingress and egress. |
₹ 792.00 |
| 4 x 80 GB H100 Shakti Studio – Serverless | Shakti Cloud Serverless Dedicated Instance with GPU Type: H100 GPU Memory Per Card: 80GB Total Number of Cards: 4 Total GPU Memory: 320GB Unlimited ingress and egress. |
₹ 1,584.00 |
| 8 x 80 GB H100 Shakti Studio – Serverless | Shakti Cloud Serverless Dedicated Instance with GPU Type: H100 GPU Memory Per Card: 80GB Total Number of Cards: 8 Total GPU Memory: 640GB Unlimited ingress and egress. |
₹ 3,168.00 |
| 1 x 48 GB L40S Shakti Studio – Serverless | Shakti Cloud Serverless Dedicated Instance with GPU Type: L40S GPU Memory Per Card: 48GB Total Number of Cards: 1 Total GPU Memory: 48GB Unlimited ingress and egress. |
₹ 119.00 |
| 2 x 48 GB L40S Shakti Studio – Serverless | Shakti Cloud Serverless Dedicated Instance with GPU Type: L40S GPU Memory Per Card: 48GB Total Number of Cards: 2 Total GPU Memory: 96GB Unlimited ingress and egress. |
₹ 238.00 |
| 4 x 48 GB L40S Shakti Studio – Serverless | Shakti Cloud Serverless Dedicated Instance with GPU Type: L40S GPU Memory Per Card: 48GB Total Number of Cards: 4 Total GPU Memory: 192GB Unlimited ingress and egress. |
₹ 475.00 |
| Name | Product Description | Flex (Per Month) |
|---|---|---|
| 1 x 80 GB H100 Shakti Studio – Serverless | Shakti Cloud Serverless Dedicated Instance with GPU Type: H100 GPU Memory Per Card: 80GB Total Number of Card: 1 Total GPU Memory: 80GB Unlimited ingress and egress. |
₹ 2,40,258 |
| 2 x 80 GB H100 Shakti Studio – Serverless | Shakti Cloud Serverless Dedicated Instance with GPU Type: H100 GPU Memory Per Card: 80GB Total Number of Cards: 2 Total GPU Memory: 160GB Unlimited ingress and egress. |
₹ 480,515.00 |
| 4 x 80 GB H100 Shakti Studio – Serverless | Shakti Cloud Serverless Dedicated Instance with GPU Type: H100 GPU Memory Per Card: 80GB Total Number of Cards: 4 Total GPU Memory: 320GB Unlimited ingress and egress. |
₹ 961,030.00 |
| 8 x 80 GB H100 Shakti Studio – Serverless | Shakti Cloud Serverless Dedicated Instance with GPU Type: H100 GPU Memory Per Card: 80GB Total Number of Cards: 8 Total GPU Memory: 640GB Unlimited ingress and egress. |
₹ 1,922,061.00 |
| 1 x 48 GB L40S Shakti Studio – Serverless | Shakti Cloud Serverless Dedicated Instance with GPU Type: L40S GPU Memory Per Card: 48GB Total Number of Cards: 1 Total GPU Memory: 48GB Unlimited ingress and egress. |
₹ 112,100.00 |
| 2 x 48 GB L40S Shakti Studio – Serverless | Shakti Cloud Serverless Dedicated Instance with GPU Type: L40S GPU Memory Per Card: 48GB Total Number of Cards: 2 Total GPU Memory: 96GB Unlimited ingress and egress. |
₹ 224,200.00 |
| 4 x 48 GB L40S Shakti Studio – Serverless | Shakti Cloud Serverless Dedicated Instance with GPU Type: L40S GPU Memory Per Card: 48GB Total Number of Cards: 4 Total GPU Memory: 192GB Unlimited ingress and egress. |
₹ 448,400.00 |