The goal is a scalable production AI factory, where data is continuously ingested, refined, governed, and delivered to AI models for training and inference, operating consistently across on-premises data centers and public clouds.

The Bottleneck: GPU Starvation

The specific problem being addressed is GPU starvation — the situation where expensive accelerator clusters sit idle because traditional architectures aren't designed to support continuous AI pipelines spanning data preparation, training, inference, and analytics .

Here's how the solution fixes it:

• VAST's Disaggregated Shared Everything architecture delivers exabyte-scale data infrastructure with ultra-high-bandwidth, low-latency data pipelines that keep GPUs continuously fed .
• The VAST AI OS integrates vector database services with NVIDIA cuVS for GPU-accelerated vector indexing and search .
• Cloudera contributes portable data engineering, streaming, analytics, ML, and AI services that deploy consistently across hybrid and multi-cloud environments .
• Apache Spark workloads can be accelerated with NVIDIA cuDF, allowing Spark jobs on Cloudera to leverage VAST's high-throughput data services via GPU-accelerated processing .

As Cloudera's Chief Business Officer Abhas Ricky stated: "Enterprises are investing billions in GPUs, yet many struggle to achieve full utilization due to data bottlenecks. Our partnership with VAST eliminates GPU starvation and enables customers to build true AI factories" .

Broader Industry Context & VAST Data's Recent Partnerships

NVIDIA: The Deepest Integration

NVIDIA participated in VAST Data's $1 billion Series F round at a $30 billion valuation in April 2026 . The Cloudera–VAST solution leverages the NVIDIA AI Data Platform reference design, and NVIDIA NIM microservices accelerate the Cloudera AI Inference Service . Beyond this, VAST unveiled the CNode-X server, which combines the VAST AI OS with NVIDIA data-processing libraries and onboard NVIDIA PRO 6000 Blackwell Server Edition GPUs . In early 2026, VAST and NVIDIA jointly unveiled a new inference architecture supporting NVIDIA's Inference Context Memory Storage (ICMS) Platform for the NVIDIA Rubin platform , and in February 2026, VAST expanded its collaboration with NVIDIA to run the VAST AI OS directly on GPU-accelerated servers .

Cisco: The Secure AI Factory

VAST's AI OS serves as the shared data foundation for Cisco AI PODs, validated through a Cisco Validated Design (CVD) that certifies the Cisco EBox running VAST AI OS as the first unified AI Data Platform . Cisco, NVIDIA, and VAST Data together provide a validated enterprise-class AI data platform to accelerate RAG pipelines, streamline data movement, and scale agentic AI . VAST is also the first data platform optimized and supported with Cisco Nexus HyperFabric, integrating with Cisco's cloud-management solution for data center networking .

Mistral AI: European AI Factories

In May 2026, VAST Data was selected to power the data foundation for Mistral's NVIDIA-accelerated AI factories in Europe, deploying one of the continent's largest concentrations of NVIDIA GB300 NVL72 capacity . Mistral Compute adopted the VAST AI OS as the data foundation, with VAST providing the unified data layer for secure, sovereign AI operations across Europe .

Other Notable Moves

• Google Cloud: In November 2025, VAST partnered with Google Cloud to enable enterprise AI at scale across hybrid cloud environments .
• CoreWeave: VAST signed a commercial agreement valued at $1.17 billion with CoreWeave, one of the largest GPU-focused cloud providers .
• Scale milestone: VAST recently built a single-system 1-exabyte AI storage cluster, representing 1% of the world's data .

Bottom Line

The Cloudera–VAST partnership directly tackles the data-throughput bottleneck that leaves expensive GPU clusters idle, by marrying Cloudera's hybrid lakehouse services with VAST's AI OS and the NVIDIA AI Data Platform reference design. It arrives amid an aggressive wave of VAST ecosystem plays — spanning deep NVIDIA co-engineering, Cisco-validated AI PODs, and powering Mistral's European AI factories — all aimed at positioning VAST as the foundational data layer for the enterprise AI era.

The goal is a scalable production AI factory, where data is continuously ingested, refined, governed, and delivered to AI models for training and inference, operating consistently across on-premises data centers and public clouds.

The Bottleneck: GPU Starvation

The specific problem being addressed is GPU starvation — the situation where expensive accelerator clusters sit idle because traditional architectures aren't designed to support continuous AI pipelines spanning data preparation, training, inference, and analytics .

Here's how the solution fixes it:

• VAST's Disaggregated Shared Everything architecture delivers exabyte-scale data infrastructure with ultra-high-bandwidth, low-latency data pipelines that keep GPUs continuously fed .
• The VAST AI OS integrates vector database services with NVIDIA cuVS for GPU-accelerated vector indexing and search .
• Cloudera contributes portable data engineering, streaming, analytics, ML, and AI services that deploy consistently across hybrid and multi-cloud environments .
• Apache Spark workloads can be accelerated with NVIDIA cuDF, allowing Spark jobs on Cloudera to leverage VAST's high-throughput data services via GPU-accelerated processing .

As Cloudera's Chief Business Officer Abhas Ricky stated: "Enterprises are investing billions in GPUs, yet many struggle to achieve full utilization due to data bottlenecks. Our partnership with VAST eliminates GPU starvation and enables customers to build true AI factories" .

Broader Industry Context & VAST Data's Recent Partnerships

NVIDIA: The Deepest Integration

NVIDIA participated in VAST Data's $1 billion Series F round at a $30 billion valuation in April 2026 . The Cloudera–VAST solution leverages the NVIDIA AI Data Platform reference design, and NVIDIA NIM microservices accelerate the Cloudera AI Inference Service . Beyond this, VAST unveiled the CNode-X server, which combines the VAST AI OS with NVIDIA data-processing libraries and onboard NVIDIA PRO 6000 Blackwell Server Edition GPUs . In early 2026, VAST and NVIDIA jointly unveiled a new inference architecture supporting NVIDIA's Inference Context Memory Storage (ICMS) Platform for the NVIDIA Rubin platform , and in February 2026, VAST expanded its collaboration with NVIDIA to run the VAST AI OS directly on GPU-accelerated servers .

Cisco: The Secure AI Factory

VAST's AI OS serves as the shared data foundation for Cisco AI PODs, validated through a Cisco Validated Design (CVD) that certifies the Cisco EBox running VAST AI OS as the first unified AI Data Platform . Cisco, NVIDIA, and VAST Data together provide a validated enterprise-class AI data platform to accelerate RAG pipelines, streamline data movement, and scale agentic AI . VAST is also the first data platform optimized and supported with Cisco Nexus HyperFabric, integrating with Cisco's cloud-management solution for data center networking .

Mistral AI: European AI Factories

In May 2026, VAST Data was selected to power the data foundation for Mistral's NVIDIA-accelerated AI factories in Europe, deploying one of the continent's largest concentrations of NVIDIA GB300 NVL72 capacity . Mistral Compute adopted the VAST AI OS as the data foundation, with VAST providing the unified data layer for secure, sovereign AI operations across Europe .

Other Notable Moves

• Google Cloud: In November 2025, VAST partnered with Google Cloud to enable enterprise AI at scale across hybrid cloud environments .
• CoreWeave: VAST signed a commercial agreement valued at $1.17 billion with CoreWeave, one of the largest GPU-focused cloud providers .
• Scale milestone: VAST recently built a single-system 1-exabyte AI storage cluster, representing 1% of the world's data .

Bottom Line

The Cloudera–VAST partnership directly tackles the data-throughput bottleneck that leaves expensive GPU clusters idle, by marrying Cloudera's hybrid lakehouse services with VAST's AI OS and the NVIDIA AI Data Platform reference design. It arrives amid an aggressive wave of VAST ecosystem plays — spanning deep NVIDIA co-engineering, Cisco-validated AI PODs, and powering Mistral's European AI factories — all aimed at positioning VAST as the foundational data layer for the enterprise AI era.