AI Infrastructure & Compute Partner:
Predictable GPU Capacity for AI Teams That Cannot Afford Delays
GPU scarcity is no longer a temporary inconvenience — it is a structural constraint.
AI teams worldwide face blocked quotas, long waitlists, unstable spot capacity, and slow procurement cycles that directly impact training timelines and production deployments.
Intravya exists to remove that uncertainty.
We provide predictable, production-grade GPU infrastructure for AI, HPC, and advanced compute workloads — structured around real deployment needs, not best-effort availability.
We are not a cloud provider.
We are not a marketplace.
We are a capacity partner.
What We Do
Intravya provides on-demand and reserved access to enterprise-grade GPU infrastructure through a global network of production-ready data center partners.
We enable organizations to:
Train and fine-tune large-scale AI and GenAI models
Run sustained, high-throughput inference workloads
Execute HPC, simulation, and research workloads
Scale AI programs without owning or operating hardware
Capacity is aligned to confirmed demand and deployment timelines, ensuring reliability from pilot to production.
GPU Infrastructure Capabilities
Enterprise GPU Architectures
We support modern GPU platforms optimized for real-world AI workloads:
NVIDIA H100 / A100:
Foundation models, LLM training, large-scale fine-tuning
NVIDIA L40 / L40S:
Production inference, multimodal AI, computer vision
AMD MI300 Series:
High-performance AI and HPC compute
All capacity is provisioned to meet throughput, isolation, and reliability requirements, not theoretical benchmarks.
Deployment Models Built for Execution
We structure GPU access the way serious teams operate — with clarity, control, and flexibility.
Dedicated GPU Allocation:
Reserved, single-tenant capacity for ongoing and mission-critical workloads
On-Demand Compute:
Flexible access for burst demand and variable workloads
Pilot Allocations:
Controlled environments for benchmarking, validation, and proof-of-concept
Long-Term Capacity Commitments:
Stable GPU access aligned to scaled AI programs
Clients retain the ability to scale without vendor lock-in or forced ecosystem dependencies.
Infrastructure & Data Center Standards
All infrastructure is deployed through enterprise-grade data center partners, selected for operational maturity — not experimentation.
Tier III / Tier IV aligned facilities
High-density GPU-ready power and cooling
Low-latency, high-throughput network architecture
Enterprise security and compliance readiness
Every deployment is engineered for production reliability, not temporary availability.
Who We Work With
Intravya works with organizations where infrastructure failure is not an option:
AI and GenAI companies training proprietary models
Enterprises deploying internal AI platforms at scale
Research labs and applied AI institutions
AI SaaS providers and ISVs
System integrators and solution providers
If your roadmap depends on consistent GPU throughput, we align capacity to your execution plan.
How We Are Different
Most providers sell access.
We deliver assurance.
Confirmed GPU allocation in a constrained global market
Dedicated and reserved capacity — not interruptible spot compute
Capacity planning led by humans, not ticket queues
Transparent commercial structures
No forced cloud lock-in
We operate as a long-term compute partner, not a transactional reseller.
Why Intravya
Zero CapEx exposure
Predictable GPU availability when timelines matter
Stable pricing and allocation windows
Global data center partner ecosystem
Strategic infrastructure alignment, not just provisioning
Our role is simple:
Ensure infrastructure is never the reason your AI program slows down.
Engage With Us
If you are planning an upcoming training cycle, scaling inference, or facing GPU availability constraints, we can provide:
Confirmed capacity options
Deployment timelines
Allocation and commitment structures
To begin, share:
Workload type (training / inference / HPC)
Preferred GPU architecture
Target deployment timeline
Expected scale
Our team responds with specific, actionable options — not generic pricing sheets.
Contact Info:
E-mail ID: Info@intravya.com