E2E Networks wins ₹1,000 crore Blackwell deal to 2029

What E2E Networks announced

E2E Networks Ltd said it has entered into a binding term sheet with a sovereign artificial intelligence company based in India for high-performance computing infrastructure. The arrangement covers the provision of NVIDIA Blackwell cloud GPUs and allied services. E2E said the aggregate contract value is approximately ₹1,000 crore, excluding applicable taxes. The term sheet remains valid until June 2029. The company disclosed the development in a stock exchange filing.

The company characterised the engagement as a milestone in its strategy of signing longer-term customers. The customer is described as a domestic entity, and the services are to be provided through June 2029. E2E also said the sovereign AI company has no relationship with E2E’s promoter, promoter group, or group companies. As a result, the company stated that the contract does not fall under related-party transactions.

Deal structure: binding term sheet and a confirmed order

The coverage around the announcement described the ₹1,000 crore engagement as a confirmed work order, with a firm value that is executable upon issuance. E2E’s disclosure specifically refers to a binding term sheet for long-term AI infrastructure comprising cloud GPUs and allied services. Together, these descriptions indicate a contract framework designed for multi-year delivery of compute capacity and related services.

The long validity window until June 2029 is notable for a cloud infrastructure provider because it extends beyond typical short-duration capacity bookings. For E2E, long-term commitments can help plan capacity additions and utilisation. For the customer, it can secure access to advanced GPU infrastructure for sustained AI workloads.

What is being supplied: NVIDIA Blackwell cloud GPUs

E2E said the term sheet is for NVIDIA Blackwell cloud GPUs and allied services. The company framed the requirement as “high-performance computing infrastructure,” aligning the contract with large-scale AI training and inference needs. While the filing does not provide a unit count of Blackwell GPUs, it positions the contract as long-term AI infrastructure delivered via the cloud.

The mention of allied services suggests the arrangement is not limited to bare GPU capacity. In cloud GPU deployments, allied services typically include associated infrastructure elements and operational support required for enterprise workloads, although E2E’s filing does not itemise them.

Fundraise plan: up to ₹1,500 crore for capacity expansion

On the same day, E2E Networks’ board approved a plan to raise up to ₹1,500 crore. The proposed fundraise can be done through a Qualified Institutions Placement (QIP), rights issue, follow-on public offer (FPO), or other permitted routes. The company said the plan is aimed at expanding capacity amid strong demand from the artificial intelligence ecosystem.

E2E said the board approved the fundraise at its meeting on August 31. The company noted that the proposed issue may involve equity shares or other eligible securities through a public or private offering to investors. The timing links the fundraise plan with the broader push to add GPU capacity for AI infrastructure demand.

Financial context: Q1 FY27 turnaround cited

The coverage around the announcements also referred to a sharp shift in profitability. E2E posted a ₹44 crore profit in Q1 FY27 after a loss of nearly ₹3 crore in the year-ago period. While the company did not connect this turnaround directly to the new term sheet, profitability improvements can matter for funding and scaling decisions in capital-intensive infrastructure businesses.

The multi-year nature of the ₹1,000 crore arrangement also places attention on execution and capacity availability over time. For investors tracking E2E’s performance, a combination of longer-duration orders and funding plans can influence how they assess the company’s growth path and capital needs.

Other disclosed corporate actions: ESOP grant

E2E Networks said it granted 200,000 stock options to eligible employees under the E2E Networks Limited Employees Stock Option Scheme – 2021. The disclosure was included alongside the broader flow of company updates. ESOP grants are commonly used by technology and infrastructure firms to retain and motivate employees, particularly during periods of expansion.

The company did not provide additional details in the provided text about vesting schedules or exercise prices. Still, the disclosure adds a people-and-retention lens to the company’s broader capacity and customer expansion narrative.

Background: IndiaAI Mission orders referenced

Separate from the sovereign AI term sheet, the provided context also referenced E2E’s work under the Government’s IndiaAI Mission. E2E has been awarded a ₹177 crore contract from the IndiaAI Mission to provide GPU resources, with work already commenced and a launch timeline by January 2026.

In a regulatory disclosure cited in the context, E2E said work commenced on an order received on September 2, 2025. That disclosure mentioned the Ministry of Electronics and Information Technology (MeitY) allocation of H100 SXM and H200 SXM GPUs to Gnani AI, supported by an InfiniBand network on a single fabric, for 360 days totalling 12,994,560 GPU hours. E2E said it expected the GPU allocation to go live by mid-January 2026.

The context also stated E2E secured two IndiaAI Mission contracts totalling ₹265 crore (₹88 crore and ₹177 crore), primarily for large domestic LLM training.

Capacity build-out: B200 cluster in Chennai

The information provided also stated that E2E Networks acquired NVIDIA B200 GPU clusters for its Chennai facility. The cited configuration included 1,024 GPUs with approximately 184 TB RAM capacity. The infrastructure enhancement was described as being designed to support large AI model training operations and target Indian businesses and researchers requiring advanced AI computing resources.

While the B200 cluster detail is separate from the Blackwell cloud GPU term sheet announcement, it provides context on E2E’s broader push to add modern GPU infrastructure in India.

Key facts at a glance

Market impact: what this changes for E2E’s positioning

A multi-year, ₹1,000 crore contract for high-end GPU cloud capacity can increase visibility on longer-term demand for E2E’s AI infrastructure. The company explicitly positioned the deal as part of its strategy to sign longer-term customers. The June 2029 validity also aligns with the broader market shift toward securing capacity for sustained AI training and inference.

The board’s approval to raise up to ₹1,500 crore provides an additional datapoint on capacity expansion plans. For a cloud and AI infrastructure provider, meeting delivery timelines depends on procurement, deployment, networking, and data centre readiness. The company’s previously referenced GPU deployments and IndiaAI Mission work add context to how E2E has been expanding and executing.

Analysis: why the June 2029 term matters

The AI infrastructure market often operates with high demand variability, but the term sheet’s multi-year window indicates a move toward longer-duration commitments. For E2E, longer-term contracts can support planning for GPU acquisitions, data centre investments, and operational staffing, although the filing does not detail the capex plan for this specific deal.

The company’s statement that the customer has no relationship with the promoter group is also material from a governance perspective, as it clarifies that the engagement is not a related-party transaction. Alongside the ESOP grant and the proposed fundraise approval, the disclosures show E2E managing both growth financing and employee incentives while scaling AI infrastructure.

Conclusion

E2E Networks has signed a binding term sheet with a domestic sovereign AI company to supply NVIDIA Blackwell cloud GPUs and allied services in an approximately ₹1,000 crore arrangement running through June 2029. On August 31, the board also approved a plan to raise up to ₹1,500 crore through multiple routes to expand capacity. The next key milestones to track are the company’s subsequent disclosures on execution progress and any steps taken to implement the approved fundraise plan.