Author: shakticloud

Shakti Studio: Where AI Dreams Go Live

Posted on by shakticloud

Every enterprise today wants a piece of the AI revolution — to build smarter, move faster, and scale. But the road from idea to production is a battlefield. You start with inspiration, but before long, you’re neck-deep in rate limits, tangled infrastructure, and weeks of setup that feel more like survival than innovation.

Imagine skipping all that.

Imagine a world where your models spring to life instantly, where scaling happens in milliseconds, and where your biggest worry isn’t infrastructure; it’s what to build next.

Shakti Studio is the AI inference and deployment platform that turns bold ideas into production-grade AI, faster than ever.

The Power Behind the Curtain

Shakti Studio isn’t just another MLOps tool, it’s the stage where your AI takes center spotlight. Whether it’s LLMs, diffusion algorithm or a custom pipeline, Shakti Studio lets you run it all instantly. No waiting, no wiring, no scaling panic. Just plug in, deploy, and watch your models perform in full throttle.

At its core, Shakti Studio fuses the flexibility of cloud-native operations with the brute power of NVIDIA L40S and H100 GPUs, giving enterprises a high-performance launchpad to train, fine-tune, and deploy large models seamlessly.

Why Enterprises Love It: Shakti Studio was designed for teams that don’t want to spend months “getting ready.” It’s for builders for those who want to go live now.

With Shakti Studio, you get: 

1. Enterprise Grade AI APIs – Fire up endpoints for LLMs, ASR, TTS, and Image Generation instantly.
2. Serverless GPU Scaling – Access GPU power on demand. No cluster management. No cooldowns.
3. Bring Your Own Model (BYOM) – Deploy your Hugging Face or Docker-based checkpoints effortlessly.
4. Production Reliability – SLA-backed uptime, real-time logs, and built-in monitoring for every workload.

The Three Pillars of AI Excellence 

At the heart of Shakti Studio lies three defining forces: Serverless GPUs, AI Endpoints, and Fine-Tuning, each crafted to simplify one stage of your AI lifecycle.

Shakti Serverless GPUs

Skip the hassle of cluster management. Spin up elastic GPU compute in seconds, scale automatically, pay fractionally and observe everything in real time. TensorFlow, PyTorch, Hugging Face – it’s all there, ready to roll. With SLA enforcement, real-time observability, and zero friction, this is GPU power reimagined for modern AI ops.

Shakti AI Endpoints

Plug, Play, Produce  With Shakti AI Endpoints, bringing AI to production is as easy as calling an API. These GPU-optimised, low-latency endpoints bring production-ready AI straight to your applications. From digital assistants to content generation, from drug discovery to retail analytics, you can now infuse intelligence into every workflow with an OpenAI-compatible API that scales automatically, secures data, and bills per use.

Shakti Fine-Tuning

Custom AI, Your Way. Generic models are yesterday’s story. With Shakti Fine-Tuning, you sculpt AI that speaks your language, understands your data, and works your way. Leverage LoRA, QLoRA, and DPO techniques to fine-tune giants like Llama and Qwen up to 15× faster on distributed GPUs. Your data stays private, your models stay secure, and your deployments go live in minutes. From conversational bots to industry-specific intelligence, Shakti Fine-Tuning brings personalisation to the heart of enterprise AI.

The Shakti Studio Experience

What sets Shakti Studio apart is not just its power, but its poise. Developers can deploy straight from the UI or CLI. Data scientists can run experiments without waiting for a single GPU slot. Enterprises get full observability, compliance, and cost transparency, right out of the box. Every workload, every log, every rate limit – fully visible and fully controlled. Whether you love clicking buttons or scripting commands, Shakti Studio adapts to your flow; UI, CLI, or API.

From Prototype to Production – In Record Time. Speed isn’t a luxury — it’s survival. Shakti Studio collapses weeks of setup into minutes, bringing the full power of MLOps, inference, and scaling into one frictionless flow.

So whether you’re building a next-gen chatbot, a creative content engine, or an AI-powered enterprise dashboard, Shakti Studio ensures one thing above all; your AI moves from idea to impact faster than ever.

Shakti Studio — Build Bold. Deploy Fast. Scale Infinite.

When innovation meets performance, you get Shakti Studio; the place where AI is not just trained, but unleashed.

Yotta’s Shakti Cloud Delivers Peak Performance for LLM Training 

Posted on by shakticloud

High-performance GPUs are becoming the standard for training modern AI models, but real innovation depends on the infrastructure behind them. At Yotta, we’ve engineered a platform that delivers scalable, consistent, and production-grade performance for demanding AI workloads. To demonstrate its capabilities, we chose Llama 3.1 70B, one of the most trusted benchmarks in the LLM ecosystem, and ran a full training run on a 256-GPU NVIDIA H100 cluster powered by Shakti Bare Metal.

Shakti Bare Metal provides dedicated access to NVIDIA H100 and L40S GPUs with direct hardware control, low-latency performance, and enterprise-grade security. It supports seamless scaling from single nodes to large clusters, making it ideal for AI and HPC workloads.

The Results

We benchmarked our performance against NVIDIA’s published speed of light numbers. Here’s how Yotta’s infrastructure stacked up:

Training Step Time:
– 14.96 seconds per step (vs NVIDIA’s 14.72 seconds)
– 99.5% alignment with reference

FLOPs Utilisation (BF16 Dense):
– 525.83 TFLOPs out of a theoretical 989 TFLOPs
– 53.16% utilisation (vs NVIDIA’s 54.24%)

These were achieved in production on our Shakti Bare Metal platform. This benchmark shows that our infrastructure performs almost identically to NVIDIA’s internal systems under real-world conditions.

How We Got There

Delivering this level of performance is the result of end-to-end system engineering and optimisation. Here’s what powers our performance:

1. High-Bandwidth Interconnects: We used RDMA and NVLink to ensure fast, low-latency GPU communication – critical for scaling deep learning workloads. This architecture minimises latency and maximises bandwidth, ensuring that data flows efficiently across all GPUs – even under heavy load.

2. Advanced Parallelism Techniques: Our setup combined tensor, pipeline, and data parallelism – finely tuned for LLM training using tools like Megatron and DeepSpeed.

3. Intelligent Orchestration Stack: SLURM-based orchestration enabled flexible resource allocation and high availability, with tight runtime controls and minimal scheduling overhead.

Built for What’s Next in AI

Training a model like Llama 3.1 70B is no small feat. It requires vast compute power, precision engineering, and weeks of effort. Our benchmark proves that we can not only handle this scale, but we can also do it with world-class efficiency.

– We’ve trained a state-of-the-art LLM on production infrastructure
– We’ve delivered performance that closely aligns with NVIDIA’s published reference numbers
– We’re ready to support the next wave of AI innovation at scale

Training large language models requires more than powerful GPUs. It demands a tightly optimized, end-to-end system. From compute density and GPU interconnects to orchestration, scheduling, and data pipeline efficiency – every layer impacts how fast you can train, how far you can scale, and how effectively you manage cost.

With Shakti Bare Metal, we’ve engineered a platform built on three foundational pillars designed for real-world AI outcomes:

Performance That’s Proven

We don’t just promise benchmarks – we deliver them. Real workloads, real infrastructure, and numbers that speak for themselves.

Scalability That’s Linear

Whether you’re running on 8 GPUs or 256+, our architecture ensures that performance doesn’t fall off a cliff as you scale.

Value That Scales With You

We combine bare metal efficiency, transparent pricing, and hyperscaler-grade support – so you can grow without unexpected costs or hidden complexity.

AI Builders, This Is Your Platform

For teams building frontier models, enterprise copilots, or domain-specific LLMs, Yotta offers an infrastructure layer that’s ready for tomorrow. These benchmarks confirm that our systems can match the best in the world – giving you the foundation to innovate faster, scale smarter, and stay ahead.

And we’re not stopping here. We’ve got NVIDIA B200 GPUs on the way, further expanding our capabilities to support next-gen AI workloads with even greater efficiency and scale.

Whether you’re in finance, healthcare, manufacturing, or AI research, the time it takes to train a model, the cost per run, and the throughput of your infrastructure all determine your speed to impact. With Yotta’s Shakti Cloud, you don’t have to compromise.