Your brand. Built by Panache.
AI infrastructure. Compute at scale.
AI inference and training servers for data centres, SMBs and educational institutions, built for demanding AI workloads.
Representative renderAI Servers, built by Panache.
AI workloads need specialised infrastructure: massive parallel processing, high-bandwidth memory and optimised cooling. Standard servers were not designed for that.
Panache designs and manufactures advanced AI servers for SMBs and data centres. They are built for machine learning training, deep learning inference and large language model deployment.
Your brand. Built by Panache.
Panache designs, engineers and manufactures AI servers for brands, integrators and programmes, in India.
- OEM manufacturing
Your design and specifications. We manufacture to your exact requirements and quality standards.
- ODM solutions
Start from a Panache platform and customise it for your market and customers.
- White label
Turnkey products with your branding, packaging and software preloaded.
Engineered for deployment.
- 01
GPU-accelerated
Multi-GPU configurations for parallel AI training and inference.
- 02
Scalable architecture
From single-node SMB setups to multi-rack deployments.
- 03
High-bandwidth memory
Memory subsystems for large model training and real-time inference.
- 04
Enterprise management
Remote management, monitoring and orchestration.
- 05
Power efficient
Power delivery and cooling for sustained GPU-intensive workloads.
- 06
India-assembled
Manufactured in India with global component partnerships.
Built to your brief.
Every programme is configured to order, from hardware to software to branding. Technical details are shared per project.
- Inference servers
- Real-time AI model serving at low latency
- Training clusters
- Multi-GPU configurations for model training
- Edge AI servers
- Compact form factors for edge and branch deployment
- Custom configurations
- GPU, CPU, memory and storage tailored to the workload
- Rack & tower
- Standard 19-inch rack and tower form factors
- Pre-configured
- Ready-to-deploy AI platforms for education and research
Where it is deployed.
- EnterprisePrivate AI infrastructure, LLM deployment
- EducationResearch computing, AI labs
- HealthcareMedical imaging AI, genomics computing
- GovernmentSovereign AI, smart city platforms
- BFSIFraud detection, risk modelling
- IndustrialPredictive maintenance, quality inspection
AI Servers: frequently asked questions
What is an AI server?
A server built for AI workloads, usually with one or more GPUs or accelerators, large memory and fast storage and networking, for inference or training.
Inference server or training server?
Inference runs trained models to serve results and usually needs less hardware; training builds models and needs more accelerators, memory and power. Size the server for the workload you actually run.
What should I check before buying an AI server?
The models and frameworks you use, GPU memory, power and cooling at the site, rack space, networking, software support and service coverage.
Can Panache manufacture AI servers under my brand?
Panache DigiLife offers OEM and ODM solutions under customer brands (white label). Product feasibility, customisation, minimum quantities, timelines and commercial terms are confirmed for each project after the team reviews your requirements.
Building AI servers?
Share your product, target volumes and timeline. We will propose the right engagement model: your design, joint design, or a Panache platform under your brand.