Rent RTX PRO 6000
Blackwell Server Edition GPUs Now
From a single server GPU to clusters at scale, Vast.ai makes it easy to rent the RTX PRO 6000 S you need with flexible runtimes, predictable pricing, and infrastructure built for production AI workloads.
Meet The NVIDIA RTX Pro 6000 S:
A Blackwell Server GPU Built for Scalable AI Infrastructure
The NVIDIA RTX Pro 6000 S is a server-optimized Blackwell GPU designed for large-scale AI inference, fine-tuning, and enterprise deployments. With 96 GB of ECC-enabled GDDR7 VRAM and approximately 1.6 TB/s of memory bandwidth, it delivers the capacity, reliability, and sustained throughput required for modern AI systems running continuously in data-center environments.
Vast.ai's RTX Pro 6000 S GPUs Deliver
Enterprise-Grade Performance forAI at Scale
The RTX Pro 6000 S brings Blackwell-class performance to the Vast.ai marketplace in a server-first form factor. Built for sustained utilization, it supports ECC memory, enterprise drivers, and advanced isolation features, making it ideal for shared infrastructure, production inference, and multi-tenant AI services.
Massive VRAM Capacity: 96 GB GDDR7 with ECC
With 96 GB of GDDR7 ECC memory, the RTX Pro 6000 S is designed to handle large language models, multimodal pipelines, and high-batch inference workloads that exceed the limits of consumer GPUs. Run 70B-80B+ parameter models, long context windows, and concurrent services without constant memory pressure or instability.
High-Throughput Bandwidth: ~1.6 TB/s GDDR7
The RTX Pro 6000 S delivers approximately 1.6 TB/s of memory bandwidth, ensuring that the GPU’s processing power is fully utilized. This is critical for large-batch inference, multi-model serving, and data-intensive pipelines that demand sustained throughput without bottlenecks.
Server-Grade Isolation: Multi-Instance GPU (MIG)
The RTX Pro 6000 S supports Multi-Instance GPU (MIG), allowing a single GPU to be securely partitioned into multiple isolated instances. This makes it possible to run multiple inference services, isolate tenants, or separate production and experimental workloads all while maximizing utilization and uptime.
Now you can rent RTX Pro 6000 S GPUs on Vast.ai's intelligent GPU cloud. Deploy server-grade Blackwell performance with flexible scaling, transparent pricing, and significantly lower costs than other cloud providers.
Power Production AI with the NVIDIA RTX Pro 6000 S
Large-scale inference and fine-tuning demand consistency, memory headroom, and sustained performance. The RTX Pro 6000 S is purpose-built for production AI systems, delivering high throughput and low latency across demanding workloads running around the clock.
AI/LLM Inference
22% faster
CFD Simulations
1.45x faster
AI Training
2.5x faster
“Vast.ai is, quite simply, the best cloud compute provider out there. We've tried them all, but Vast is the only one we stay with—especially for ad-hoc PRO 6000 WS capacity. Their entire experience is absolutely fantastic.”
Accelerate Your Use Cases with the RTX Pro 6000 S on Vast.ai
Serving high-throughput LLM inference for chatbots, agents, and RAG pipelines
Fine-tuning and evaluating large models like GPT, Llama, Mixtral, and Falcon
Running multimodal workloads across text, image, video, and code
Deploying multi-tenant AI services using MIG
Supporting always-on production inference with enterprise stability
Scaling AI workloads across multiple projects and teams
Why Vast.aiPricing Works?
Massive Cost Savings
Save 5x-6x vs. traditional cloud compute platforms.
Transparent Pricing
No hidden fees. You pay only for what you use.
Instant Access
Rent RTX Pro 6000 S GPUs in minutes, with no waitlists, no sales calls & no delays.
Global Marketplace
Choose from providers worldwide, with granular control.
Custom Configs
Filter by CPU, RAM, bandwidth, location, and more.
Automated Optimization
Vast.ai's intelligent provisioning ensures the best performance per dollar.
Ready to Deploy RTX Pro 6000 S GPUs?
From a single server GPU to clusters at scale, Vast.ai makes it easy to rent the RTX PRO 6000 S you need with flexible runtimes, predictable pricing, and infrastructure built for production AI workloads.