Together AI Builds India's Largest 10,000-GPU Open-Source AI Factory
L&T and Together AI are deploying 10,000 NVIDIA B300 GPUs in Chennai, marking India's largest single-cluster AI factory in a deal worth up to $1.8B.
- Largest AI cluster in India: L&T and Together AI are deploying 10,000 NVIDIA B300 GPUs at Vyoma's Chennai data centre, India's biggest single-cluster AI infrastructure.
- Deal value: Classified as a "Mega" order by L&T, valued between Rs 10,000–15,000 crore (~$1.2B–$1.8B USD).
- Together AI's momentum: The company closed an $800M Series C at an $8.3B valuation and is now serving 400 trillion tokens monthly.
- Second major B300 deal in a week: IBM signed a $240M multi-year agreement with Together AI for a B300 cluster on IBM Cloud just days prior.
- Geopolitical tailwind: India's Tier 1 US export control status gives it unrestricted access to NVIDIA's latest chips, unlike China which is blocked from B300-class hardware.
- Open-source focus: The factory will power inference, fine-tuning, and training for open-source models (Llama, DeepSeek, Qwen, Mistral), with sovereign data residency for Indian enterprises.
India just got its largest AI factory. Larsen & Toubro (L&T), the Indian engineering and infrastructure giant, has partnered with US-based AI cloud company Together AI to build a 10,000-GPU NVIDIA B300 cluster in Chennai. It is the largest single-cluster AI infrastructure deployment in the country's history, and it signals that the global race for sovereign AI compute has a new, serious contender.
The deal, by the numbers
Vyoma.AI, an L&T company, through its AI infrastructure subsidiary LTN Compute, has secured India's largest single-cluster AI infrastructure , an NVIDIA B300 AI Factory. According to L&T's project classification, the deal is valued between Rs 10,000 crore and Rs 15,000 crore , roughly $1.2B to $1.8B USD. L&T's share price rose 1.26% to Rs 4,070.70 on the announcement.
The hardware at the center of this is worth understanding. The B300, announced at GTC March 2025, delivers 15 petaFLOPS of dense FP4 compute, 288 GB of HBM3e memory, 8 TB/s bandwidth, and a 1,400W TDP. That FP4 compute figure is 67% more than the B200 and roughly 18x more than the H100. For inference-heavy workloads , which is exactly what Together AI runs , the memory headroom matters enormously: the 288 GB VRAM gives headroom to maintain large context windows without evicting the KV cache, which directly impacts reasoning quality and latency.
Who is actually building this
The key players span two continents:
- L&T / Vyoma.AI / LTN Compute , L&T is one of India's largest conglomerates, historically known for civil engineering and heavy infrastructure. Vyoma.AI is its AI infrastructure arm, and LTN Compute is the subsidiary executing this build.
- Together AI , a cloud platform for open and custom AI, offering fast inference for open-source models like Llama, Mixtral, DeepSeek, and Qwen, plus fine-tuning infrastructure. Founded in 2022 by Vipul Ved Prakash and Ce Zhang, based on research work at Stanford.
- NVIDIA , supplying the B300 hardware and, per the broader L&T-NVIDIA partnership, the networking, storage, and AI software stack.