AI computing is entering a new era. Organizations are pushing the boundaries with increasingly sophisticated machine-learning workloads, ranging from trillion-parameter foundation models to latency-sensitive inference pipelines. In this landscape, the choice of infrastructure has become a critical differentiator. Performance, predictability, and control are no longer optional. Bare metal infrastructure is emerging as a cornerstone of next-generation AI compute, while public cloud provides flexibility and scalability for complementary workloads.
This is where Shakti Cloud Bare Metal comes into focus; a purpose-built AI infrastructure platform designed to power the most demanding workloads of today and tomorrow.
Why Bare Metal Is Critical for Modern AI
Advanced AI workloads place extreme demands on compute infrastructure. Large-scale training, distributed learning, and real-time inference require sustained performance, high-bandwidth communication, and deterministic behaviour. While public cloud environments offer flexibility and global reach, they also introduce shared-resource contention and performance variability that can impact AI efficiency.
Bare metal removes these layers entirely. By providing direct access to underlying hardware, it enables AI teams to extract maximum performance from GPUs, CPUs, memory, and networking; making it the preferred foundation for large language models (LLMs), multimodal AI systems, and HPC-driven workloads.
Shakti Cloud Bare Metal delivers these advantages by offering fully dedicated GPU servers with no virtualization overhead. Customers gain complete control over hardware configuration and GPU allocation, ensuring consistent, high-throughput performance across training and inference workflows.
Shakti Cloud Bare Metal: Raising the Bar for AI Infrastructure
Shakti Cloud Bare Metal is engineered to address the scale, complexity, and reliability requirements of modern AI environments:
- Scale AI Training and Inference with Confidence: Built on NVIDIA HGX H100 and L40S GPUs, Shakti Cloud enables efficient training, fine-tuning, and deployment of large AI models with predictable and repeatable performance.
- Future-Ready GPU Roadmap: The platform is evolving to support upcoming NVIDIA architectures, including HGX B200, HGX B300, and RTX PRO 6000, allowing customers to seamlessly transition to next-generation AI compute as workloads grow.
- Ultra-High-Speed Interconnects: InfiniBand Quantum-2 NDR 400G switches provide up to 3200 Gbps node-to-node connectivity, enabling efficient distributed training and minimizing communication overhead across multi-node clusters.
- Advanced Networking Architecture: Powered by NVIDIA Spectrum-4 400Gbps Ethernet, BlueField-3 DPU, and ConnectX-7, the networking stack ensures secure, low-latency, and accelerated data movement across compute and storage layers.
- High-Performance Local Storage: NVMe-based storage delivers ultra-low latency and high IOPS, reducing data access bottlenecks and accelerating end-to-end AI pipelines.
- Integrated Object Storage: SSD-backed object storage provides scalable and durable access to datasets, checkpoints, and model artifacts throughout the AI lifecycle.
- NVIDIA AI Enterprise Integration: Seamless integration with NVIDIA AI Enterprise gives customers access to optimized frameworks, libraries, and enterprise-grade support, accelerating time to production.
- Unlimited Internet Bandwidth: High-speed connectivity with unlimited data transfer simplifies dataset ingestion, model distribution, and hybrid workflows that leverage both Shakti Cloud Bare Metal and public cloud resources for maximum flexibility.
Together, these capabilities position Shakti Cloud Bare Metal as an ideal platform for large language model training, generative AI, real-time inference, autonomous systems, and advanced scientific computing.
Predictable Performance and Cost Efficiency
One of bare metal’s defining advantages is performance consistency. Single-tenant infrastructure avoids noisy-neighbour effects, ensuring stable throughput across long-running training jobs; critical for reducing time-to-model completion and optimizing resource utilization.
From a cost perspective, bare metal also provides greater transparency for sustained workloads. While public cloud can be ideal for bursty or short-lived tasks, prolonged GPU usage often leads to unpredictable costs. Shakti Cloud Bare Metal delivers a stable, cost-aligned model for enterprises running continuous, compute-intensive AI workloads.
Built for Security and Compliance
As AI adoption expands into regulated industries such as healthcare, finance, and public sector domains, security and compliance take center stage. Bare metal’s physical isolation ensures that customer data remains on dedicated infrastructure, reducing exposure to multi-tenant risks.
Combined with India-based infrastructure and enterprise-grade controls, Shakti Cloud Bare Metal supports data sovereignty, regulatory compliance, and secure AI deployment; without compromising performance.
Powering the Next Wave of AI Innovation
The future of AI compute is not defined by raw power alone. It is shaped by infrastructure that is scalable, secure, customizable, and reliable. Bare metal has become the foundation that enables this vision, while public cloud can complement workloads that need flexibility and rapid scalability.
With its performance-first design, future-ready GPU roadmap, and deep integration across compute, networking, and software, Shakti Cloud Bare Metal helps enterprises, startups, and researchers unlock the next chapter of AI. From training frontier models to deploying mission-critical AI services, bare metal is set to become the backbone of AI’s next chapter—and Shakti Cloud is leading the way.
