Key benefits of our GPU platform
Key benefits of our GPU platform
Train & Finetune LLMs Faster
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Non-blocking Infiniband accelerates GPU syncs, while high-speed parallel storage efficiently feeds massive datasets, slashing your model training times.
Scalable AI Workloads
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Our on-demand GPUs accessed via CNCF-certified Kubernetes platform effortlessly scales for training and inference. Deploy faster with pre-optimized stack, complete with the necessary drivers, operators, and frameworks.
Secure & Efficient Networking Options
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Connect existing infrastructure across multiple cloud or on-prem via VPN to securely transfer sovereign datasets and real-time data.
Predictable Low TCO
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Competitively priced GPUs discounted for longer commitments and fixed-price billing means no surprise costs. Further reduce data egress fees using our Multi Cloud Connect
Our pricing
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BareMetal GPUs
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Virtual Machine GPUs
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NVIDIA H100 SXM
Starting from
Available in: 8X
vCPUs: 224
RAM: 2 TB
GPU Memory: 80 GB
3.2 TB/s InfiniBand Connectivity
Best suited for
Multi-node LLM training at scale
Build massive Foundation model
AI & HPC convergence workloads
NVIDIA H200 SXM
Starting from
Available in: 8X
vCPUs: 224
RAM: 3 TB
GPU Memory: 141 GB
3.2 TB/s InfiniBand Connectivity
Best suited for
Very Large context model training
High-end multimodal model training
Memory-heavy deep learning
NVIDIA H200 NVL
Starting from
Available in: 8X
vCPUs: 192
RAM: 2 TB
GPU Memory: 141 GB
Best suited for
Scale-out LLM inference serving
High-throughput multi-model hosting
Large batch embedding and reranking
NVIDIA H200 NVL
Starting from
Available in: 1X, 2X, 4X
vCPUs range: 16-84
RAM range: 64-992
GPU Memory: 141 GB
Best suited for
Scale-out LLM inference serving
High-throughput multi-model hosting
Large batch embedding and reranking
NVIDIA L40 S
Starting from
Available in: 1X, 2X
vCPUs range: 16-56
RAM range: 64-224
GPU Memory: 48 GB
Best suited for
Cost-efficient LLM inference at scale
Vision AI and video analytics
3D graphics, Omniverse rendering
NVIDIA L4
Starting from
Available in: 1X, 2X, 4X
vCPUs range: 8-64
RAM range: 64-448
GPU Memory: 24 GB
Best suited for
High-density, low-cost inference
Video AI transcoding and analytics
Small model serving at scale
Use cases
1
Accelerate breakthrough research
Train LLMs faster using high-speed GPU clusters and scale your experiments efficiently with robust, on-demand infrastructure.
2
Accelerated data analysis and discovery
Process complex datasets quickly and securely with high-performance computing for faster insights.
3
Enterprise AI integration and optimisation
Connect GPU resources to existing multi-cloud or on-premises environments using Multi-Cloud Connect, ensuring data security and a lower, predictable TCO.
4
Multi-modal inferencing
Perform complex inference tasks combining different data types efficiently and at scale using high-performance GPUs like Nvidia L40s with ray tracing capabilities, optimized for image processing.
Count on us for proven results
InterGlobe
InterGlobe launches Cloudventure in 90 days, boosts growth with Tata Communications.
BACL
BACL enhances operations with Tata Communications’ end-to-end managed cloud services.
Tata CLiQ
Tata CLiQ achieves a significant increase in revenue and a 60% faster time-to-market with managed services.
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