CPU, GPU & accelerator vendors
Direct engagement on platform roadmaps, allocation and reference designs.
- GPU and AI accelerator platforms
- Server CPUs, DPUs and SmartNICs
- Early-access and evaluation programs
Home / Solutions / Ecosystem Network
02 · Ecosystem Network
An AI data center brings together silicon, servers, networks, storage, software, power, cooling and people. RAICOSOL connects you to the right partner at every layer, vetted, introduced with context, and coordinated by one accountable team.
The ecosystem map
Enterprises adopt AI faster when complementary capabilities are combined: facilities that handle higher power and cooling, fabrics that keep GPUs busy, storage that keeps them fed, and software that takes models from experiment to production.
We map your project to each layer, identify the partners who fit, and keep them aligned through design, delivery and operations.
Model builders, AI-native software vendors, enterprise use cases
Frameworks, inference engines, orchestration, observability, security
Parallel file, object and data platforms that keep GPUs utilized
Switches, NICs and DPUs, optics, interconnect, secure fabric
CPU and GPU vendors, server OEMs and ODMs, distributors
Data center operators, power and cooling, architecture, engineering and construction
Who we connect you with
We are vendor-neutral. Recommendations follow your workload, timeline and budget, and every introduction comes with the technical and commercial context both sides need.
Direct engagement on platform roadmaps, allocation and reference designs.
Qualified systems, delivered through authorized channels with warranty and support.
The fabric that turns individual servers into one cluster.
High-throughput storage so expensive GPUs never wait on data.
The halls, power and people that run your cluster day to day.
Software partners and the specialists who make the stack work in production.
Software ecosystem
Hardware choice only matters if the software runs on it. Today's AI stack is built largely on open-source frameworks, inference engines and orchestration, supported across GPU vendors. We check that every layer you depend on is supported on the platform you choose.
| Category | What it does | Open-source examples |
|---|---|---|
| Model builders | Pretrained and open-weight foundation models | Llama, DeepSeek, Kimi, Gemma, Mistral, Qwen |
| AI frameworks | Build and train models | PyTorch, JAX, TensorFlow |
| Optimization & compilers | Make models run faster on specific hardware | Triton, ONNX, OpenXLA, DeepSpeed |
| Inference engines | Serve models with high throughput and low latency | vLLM, SGLang |
| Orchestration & MLOps | Schedule jobs, track experiments, deploy and monitor | Kubernetes, ClearML, dstack |
| Infrastructure platforms | Operating systems, containers and hybrid cloud | Linux, Docker, Kubernetes |
| HPC applications | Simulation and scientific computing | GROMACS, LAMMPS, NAMD, OpenMM |
Examples are open-source projects drawn from GPU vendors' published software ecosystems. Enterprise-supported distributions and commercial MLOps platforms are also available for most categories.
MLOps is the tooling and practice for developing and operating machine learning in production. For generative AI the same loop applies to fine-tuning, evaluation and model updates.
Collect, curate and label training and evaluation data.
Train or fine-tune on the cluster; retrain as data changes.
Track runs, compare metrics and select the best model.
Serve through stable, secure APIs on-premises, in cloud or at the edge.
Watch performance, cost and drift, and feed results back to data.
How it works
We map your requirements to each layer of the stack and identify the capability gaps.
We shortlist vetted partners for each gap and compare them on fit, lead time and cost.
Warm introductions with a shared brief, so conversations start at the technical level.
We keep vendors, operators and integrators aligned through delivery and go-live.
RAICOSOL Partner Program
The RAICOSOL Partner Program is open to every company that helps design, build, power, equip, operate, finance or use AI data centers. If you are part of the AI infrastructure ecosystem, you are welcome here.
Introductions to projects that need your capability, from single-rack deployments to campuses of 25 MW and above.
Co-develop reference architectures and validated bills of materials that combine your offering with other members'.
Listing in the RAICOSOL partner directory, plus case studies, events and joint content with the ecosystem.
Access to the lenders, investors and AI customers in the RAICOSOL network for projects you are part of.
Partnership levels
For any company in the AI infrastructure ecosystem.
For partners building joint offerings with RAICOSOL.
For partners committed to joint go-to-market on projects.
Tell us about your company. We review every application and reply with next steps.
Tell us what you are building. We will introduce the vendors, operators and specialists who fit, and coordinate them for you.
Product names and trademarks belong to their owners. RAICOSOL is vendor-neutral and is not affiliated with the companies referenced.