Gujarat launches GPU-as-a-Service framework for AI projects statewide
Synopsis
Gujarat has become one of the first Indian states to operationalise a centralised GPU-as-a-Service framework, giving government bodies free access and eligible startups discounted access to shared high-performance computing — a structural move that could make the state a serious hub for applied AI development.
Key Takeaways
Gujarat has operationalised a state-wide GPU-as-a-Service (GPUaaS) framework with immediate effect.
Gujarat Informatics Limited (GIL) will centrally manage, provision, and monitor the GPU infrastructure.
Government departments and educational institutions receive GPU access on a 100 per cent subsidised basis .
Startups outside the AI Innovation Challenge pay actual GPU service cost plus a 7 per cent GIL consultancy fee .
The framework operationalises the Infrastructure pillar of Gujarat's six-pillar AI Action Plan .
Mandatory compliance with data privacy, cybersecurity, and responsible AI policies applies to all users.
Gujarat has operationalised a state-wide GPU-as-a-Service (GPUaaS) framework, giving government departments, institutions, and select AI startups access to shared high-performance computing infrastructure under the state's AI Action Plan. The initiative, which has come into effect immediately, is one of the most structured state-level AI infrastructure deployments in India to date.
What the Framework Covers
Under the new arrangement, Gujarat Informatics Limited (GIL) will centrally manage GPU infrastructure, sparing individual departments and institutions from having to independently build or procure high-performance computing facilities. Resource allocation will be governed by a centralised mechanism that weighs technical feasibility, resource availability, approved use cases, and applicable government policies.
The decision was taken under the guidance of Chief Minister Bhupendra Patel and Science and Technology Minister Arjun Modhwadia. GIL will handle provisioning, operations, monitoring, and coordination across the GPUaaS ecosystem.
Who Gets Access — and at What Cost
Eligible state government departments, government institutions, and government educational institutions will receive GPU access on a 100 per cent subsidised basis. The subsidy also extends to the production rollout of AI use cases developed by startups selected under the AI Innovation Challenge at the AI Centre of Excellence (AI CoE).
Other startups may access the facility subject to resource availability, but will be required to pay the actual GPU service cost along with a GIL consultancy fee of 7 per cent on the actual cost of GPU services procured from a Cloud Service Provider empanelled by IndiaAI.
Link to Gujarat's AI Action Plan
The GPUaaS framework directly addresses the Infrastructure pillar of Gujarat's AI Action Plan, which rests on six key pillars: Data; Infrastructure; Capacity Building; Foundational R&D and Use Case Development; Deeptech Startup Facilitation; and Safe and Trusted AI. The framework is intended to accelerate the application of artificial intelligence in governance, public service delivery, and innovation across the state.
Data Security and Responsible AI Provisions
The framework incorporates data security and responsible AI safeguards. User organisations are permitted to deploy GPU resources only for approved purposes and must comply with government policies on information security, data privacy, cybersecurity, and responsible AI use. GIL will periodically issue detailed guidelines — covering eligibility, application procedures, GPU allocation, charging methodology, and monitoring — with the approval of the Science and Technology Department.
This comes amid a broader push by Indian states to build indigenous AI infrastructure rather than rely entirely on private cloud vendors, and Gujarat's structured subsidy-to-startup pipeline makes it an early model to watch.
Point of View
A consultancy fee model, and a direct link to a six-pillar action plan suggest this is more than a press-release initiative. The real test will be whether GIL's centralised management can scale without becoming a bureaucratic bottleneck, and whether the startup subsidy actually translates into deployable AI products rather than proof-of-concept demos. Other states have announced AI policies; Gujarat has moved to operationalise infrastructure — a meaningful distinction that the Centre's own AI Mission should benchmark against.
NationPress
23 Sept 2026
Frequently Asked Questions
What is Gujarat's GPU-as-a-Service (GPUaaS) framework?
It is a state-wide initiative under which Gujarat Informatics Limited (GIL) centrally manages high-performance GPU computing infrastructure, offering shared access to government departments, institutions, and approved AI startups without requiring them to build independent facilities. The framework has come into effect immediately.
Who is eligible to use the GPUaaS facility in Gujarat?
Eligible users include state government departments, government institutions, boards, corporations, autonomous bodies, and government educational institutions — all on a fully subsidised basis. Startups selected under the AI Innovation Challenge at the AI Centre of Excellence also receive subsidised production rollout support, while other startups may apply subject to resource availability at actual cost plus a 7 per cent consultancy fee.
How does this relate to Gujarat's AI Action Plan?
The GPUaaS framework directly operationalises the Infrastructure pillar of Gujarat's AI Action Plan, which has six pillars: Data; Infrastructure; Capacity Building; Foundational R&D and Use Case Development; Deeptech Startup Facilitation; and Safe and Trusted AI. The framework provides the shared computing backbone needed to execute AI projects across all pillars.
What are the data security requirements under the framework?
All user organisations must use GPU resources only for approved purposes and comply with government policies on information security, data privacy, cybersecurity, and responsible AI use. GIL will issue periodic detailed guidelines covering eligibility, allocation, charging, and monitoring with approval from the Science and Technology Department.
What fee does GIL charge for the GPU services?
GIL receives a 7 per cent consultancy fee on the actual cost of GPU services procured from a Cloud Service Provider empanelled by IndiaAI. This fee applies to non-subsidised users such as startups that are not part of the AI Innovation Challenge.
