Optimised Performance
Maximise your throughput and minimise latency with cutting-edge GPU technology designed for AI inference workloads.
/ AI & ML INFERENCE
AI & ML Inference
We offer GPU-accelerated nodes designed for efficient AI and Machine Learning inference at a cost-effective and affordable price. Our experienced team of engineers manages system optimisations and scaling, allowing you to focus on the science instead of infrastructure administration.
Simplified Workflows
Tscale Cloud simplifies the complexity of managing and scaling inference workflows, empowering developers to concentrate on powerful ML APIs.
Versatile Platform
Our platform is optimised for both batch and streaming inference, making it integrable to varying workloads.
Speed up time-to-insights
Tscale’s cutting-edge model virtualisation and simplified orchestration and management features, guarantee quicker results and enhanced performance while maintaining accuracy.
AI & ML Tools
Experience lightning-fast inference with Tscale Cloud’s seamless integration with the latest AI frameworks, including TensorRT Serving, PyTorch and ONNX Runtime.
Simplified Orchestration and Management
Simplified resource management with automated orchestration and autoscaling using Kubernetes and SLURM.
/ THE STACK
Inference Stack
Tscale provides a complete technology stack for running intensive inference workloads in the most efficient and high-performing way possible.
Marketplace
- Jupyter Notebooks
- TensorFlow
- PyTorch
User Experience
- Web Console
- API
- CLI
Platform
- Virtual Machines
- Managed Kubernetes
Infrastructure
- GPU Compute
- Storage
- Networking
Hardware
- A40
- H100
- H200
- GB200
- MI300X
Data Centre
- Renewable Energy
- Low-latency Fabric
Performance
Improved Resource Utilisation
Up to 40% improvement in efficiency across compute, memory, and networking.
Faster Inference
Accelerate time to insights. GPUs with UCMM tuning improve throughput and latency by up to 7.2x.
Faster Inference
Tscale Cloud offers faster inference, delivering sub-100ms response times on common workloads.
More performance for less
Tscale delivers an average 80% cost saving in comparison to hyperscalers.
Key Services
AI Compute Inference
GPU-accelerated nodes, designed for AI & ML inference, allowing you to scale the performance at the lowest price point.
Learn MoreAI Marketplace
An ecosystem of services for developing and deploying AI applications built using Tscale tools and other popular AI/ML software.
Learn MoreMore solutions
Tscale accelerates the journey from development to deployment, delivering faster time to productivity for your AI initiatives.
FAQs
Quick answers to the most common questions about Tscale’s AI & ML Inference platform, supported frameworks, model deployments, and security.
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What makes Tscale’s GPU Cloud different from others?
Tscale is purpose-built for AI workloads — not retrofitted from general-purpose cloud. Every layer of the stack is optimised for inference: bare-metal GPU nodes with NVIDIA Blackwell and Rubin, behind-the-meter power for predictable costs, proprietary software tuning (UCMM) that delivers up to 7.2× faster throughput, and an integrated environment that takes you from notebook to production-grade inference without leaving the platform.
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What types of GPUs does Tscale offer?
We deploy the full spectrum of modern AI accelerators: NVIDIA A40, H100, H200, and GB200 (Blackwell) for production inference, plus AMD MI300X for cost-optimised paths. New hardware lands on the platform within weeks of release — your team always has access to the latest generation, on the same blueprint across regions.
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How does Tscale support sustainability?
Our data centres are powered by renewable energy, with behind-the-meter generation that decouples AI workloads from grid volatility. Direct-to-chip liquid cooling improves PUE (Power Usage Effectiveness) by 30–40% vs. air-cooled hyperscaler facilities, and our predictive digital twin operations reduce energy waste from over-provisioning. We publish sustainability metrics for every region.
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What makes your AI inference service different from others?
Tscale AI & ML Inference is built on a fully integrated stack purpose-built for AI — auto-scaling GPU compute, optimised at every layer, with proprietary software tuning that delivers up to 7.2× faster throughput and up to 80% lower cost compared to hyperscalers. You get dedicated endpoints, not shared infrastructure, and you keep full control over your models and data.
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Can I integrate existing LLMs with your inference service?
Yes. We support 100+ open-source models out of the box — LLAMA 3, Mistral, Mixtral, Qwen, Phi, BGE, Whisper, Stable Diffusion, Florence, and more — and you can deploy any custom model in PyTorch, TensorFlow, or ONNX format. Our framework integrations include TensorFlow Serving, PyTorch Serve, Triton Inference Server, vLLM, and HuggingFace.
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Do you support both cloud and on-premises deployments?
Yes. Tscale supports cloud, on-premises, and hybrid environments from a single control plane. Migration is handled by our expert team with pre-built toolsets, so you can move inference workloads between Tscale Cloud, your own data centre, or a colocated facility without re-architecting. Sovereign deployments are available for regulated industries.