Spin Up Creative Pipelines Fast
Launch RTX 8000 nodes for DCC tools, Omniverse, and GPU renderers in minutes. Templates, autoscaling, and job queues keep teams productive without waiting on ops.
Cloud GPU Platform
Starting from ₹165.00/hr
NVIDIA RTX 8000 Cloud GPUs — Elite Visualization & AI for Creators and Enterprises
The NVIDIA RTX 8000 is engineered for professionals who need extreme performance for AI development, 3D rendering, visualization, and simulation workloads. With massive GPU memory and RT/Tensor Core acceleration, it enables seamless handling of large datasets, complex designs, and advanced AI model workflows without bottlenecks.
NVIDIA RTX 8000 GPU Technical Specifications
VRAM
48 GB GDDR6 with ECC
Tensor Performance (FP16)
Up to 130+ TFLOPS
Compute Performance (FP32)
~16.3 TFLOPS
Memory Bandwidth
672 GB/s
NVLink / Interconnect
Up to 100 GB/s bidirectional (2-way NVLink)
The foundation for faster, smarter AI deployment
Performance, agility and predictable scale — without the DevOps drag.
High-Throughput Asset I/O
Role-based access, fine-grained GPU quotas, image attestation, and audit logs ensure secure collaboration across VFX, CAD/BIM, and data teams.
Enterprise Controls
Role-based access, GPU quotas, audit logs, and secrets management — all designed for secure, collaborative AI teams shipping models to production.
Why Businesses Choose Inhosted.ai for NVIDIA RTX 8000 GPUs
From feature-quality rendering to large-scale visualization and video AI, enterprises choose Inhosted.ai for RTX 8000 clusters engineered for consistent frame times, transparent costs, and global uptime — on infrastructure that’s secure and production-proven.
Best-in-Class Visual Compute
Get hardware RT Cores for ray tracing, Tensor Cores for AI denoising/upscaling, and plentiful GDDR6 memory for big scenes. Teams ship higher-quality frames faster with predictable render schedules.
Built for Hybrid Graphics + AI
Run full pipelines end to end — render, denoise, super-resolve, caption, and transcode — using CUDA, OptiX, TensorRT, and the modern NVIDIA media stack. One platform, many creative tasks.
Security & Compliance at the Core
Deploy in ISO 27001 and SOC-certified environments with per-tenant isolation, encrypted storage, and private networking. Creative assets and pre-release content stay protected.
Global Regions & Predictable Scale
Place workstations and render farms near your teams for responsive viewport editing and review sessions. Automated scaling and a 99.95% uptime SLA keep production moving.
Turing Architecture
NVIDIA RTX 8000 GPU Servers, Built for Performance and Scale
The NVIDIA RTX 8000 elevates visual computing and AI-assisted creation. With 48 GB GDDR6, RT Cores for real-time ray tracing, Tensor Cores for denoising and super-resolution, and NVLink to 96 GB, RTX 8000 handles cinematic rendering, digital twins, and complex CAD/BIM scenes with ease. It’s the sweet spot for studios and enterprises that need production-quality frames, scalable render capacity, and cost-efficient AI effects in one GPU.
You know the best part?
We operate our own data center
No middlemen. No shared footprints. End-to-end control of power, cooling, networking and security—so your AI workloads run faster, safer, and more predictably.
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Lower, predictable costs Direct rack ownership, power & cooling optimization, no reseller markups.
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Performance we can tune Network paths, storage tiers, and GPU clusters tuned for your workload.
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Security & compliance Private cages, strict access control, 24×7 monitoring, and audit-ready logs.
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Low-latency delivery Edge peering and smart routing for sub-ms hops to major ISPs.
99.99%Uptime SLA
Tier IIIDesign principles
Multi-100GBackbone links
24×7NOC & on-site ops
Breakthrough AI Performance
The NVIDIA RTX 8000 delivers feature-quality ray tracing and AI-enhanced graphics at scale. Teams experience faster time-to-final, smoother collaboration, and consistent throughput for demanding render and review cycles — all with cloud elasticity.
2×
Faster ray-traced rendering vs prior gen in many DCC pipelines
4×
Higher AI denoise/super-resolution throughput with Tensor Cores
48GB
Large-scene memory (up to 96 GB via NVLink)
99.95%
Uptime on Inhosted.ai GPU cloud
Top NVIDIA RTX 8000 GPU Server Use Cases
Where the NVIDIA RTX 8000 turns creative and engineering workloads into breakthroughs — from ray-traced film frames to interactive digital twins and enterprise visualization.
Photoreal Ray-Traced Rendering
Render production frames with hardware RT Cores and AI denoising. RTX 8000 accelerates path tracers and hybrid renderers (OptiX, Arnold, V-Ray, Octane, Redshift) while keeping quality and schedule predictable.
Real-Time Visualization & Review
Drive responsive viewports for DCC, CAD/BIM, and Omniverse Live Sync. Artists and engineers iterate faster with low-latency graphics and consistent memory headroom for complex scenes.
Digital Twins & Simulation
Build and update large digital twins with ray-traced fidelity. RTX 8000’s memory and RT performance enable accurate lighting, materials, and sensor simulation for design and operations.
XR/VR & Immersive Design
Deliver high-fidelity VR/AR experiences for design reviews, training, and simulation. Hardware ray tracing and generous VRAM keep complex assets and lighting responsive.
Video AI & Broadcast
Accelerate super-resolution, denoising, captioning, and multi-stream transcode. Tensor Cores and the NVIDIA media stack enable scalable, cost-efficient video pipelines.
Computer Vision for Creative Tools
Speed up segmentation, matting, and smart object selection for post-production and VFX. RTX 8000 handles mixed AI + graphics workloads without compromising interactive performance.
Shaping the Future of AI Infrastructure — Together.
At inhosted.ai, we empower AI-driven businesses with enterprise-grade GPU infrastructure. From GenAI startups to Fortune 500 labs, our customers rely on us for consistent performance, scalability, and round-the-clock reliability. Here's what they say about working with us.
Join Our GPU Cloud
Ananya M.
★★★★★
✔ Verified Testimonial
“Switching to inhosted.ai’s RTX 8000 nodes cut our shot turnarounds by more than half. AI denoising runs in-line, and frame times are finally predictable across shows.”
Revati P.
★★★★★
✔ Verified Testimonial
“The Ada generation made a visible difference in our AI content production. We’re generating text-to-video and visual assets faster than ever before with stable latency.”
Ritika P.
★★★★★
✔ Verified Testimonial
“RTX 8000 is the right fit for our CAD/BIM team. Real-time ray tracing plus NVLink for large assemblies makes design reviews feel instant, and everyone can collaborate without stalls.”
Rakesh R.
★★★★★
✔ Verified Testimonial
“Our video AI pipeline uses super-resolution and denoise passes before delivery. On RTX 8000 we batch multiple streams reliably and hit deadlines without spinning extra capacity.”
Sourav S.
★★★★★
✔ Verified Testimonial
“Security was our top requirement. Inhosted.ai’s isolation and audit controls let us host pre-release assets safely while still scaling renders during crunch.”
Brijesh T.
★★★★★
✔ Verified Testimonial
“The pricing is transparent and the uptime solid. We spin up RTX 8000s for crunch weeks, keep a small baseline otherwise, and the billing maps exactly to usage.”
Rakesh R.
★★★★★
✔ Verified Testimonial
“Our video AI pipeline uses super-resolution and denoise passes before delivery. On RTX 8000 we batch multiple streams reliably and hit deadlines without spinning extra capacity.”
Sourav S.
★★★★★
✔ Verified Testimonial
“Security was our top requirement. Inhosted.ai’s isolation and audit controls let us host pre-release assets safely while still scaling renders during crunch.”
Brijesh T.
★★★★★
✔ Verified Testimonial
“The pricing is transparent and the uptime solid. We spin up RTX 8000s for crunch weeks, keep a small baseline otherwise, and the billing maps exactly to usage.”
Ananya M.
★★★★★
✔ Verified Testimonial
“Switching to inhosted.ai’s RTX 8000 nodes cut our shot turnarounds by more than half. AI denoising runs in-line, and frame times are finally predictable across shows.”
Revati P.
★★★★★
✔ Verified Testimonial
“The Ada generation made a visible difference in our AI content production. We’re generating text-to-video and visual assets faster than ever before with stable latency.”
Ritika P.
★★★★★
✔ Verified Testimonial
“RTX 8000 is the right fit for our CAD/BIM team. Real-time ray tracing plus NVLink for large assemblies makes design reviews feel instant, and everyone can collaborate without stalls.”
Frequently Asked Questions
What is the NVIDIA RTX 8000 and who is it for?
RTX 8000 is a Turing-based, data-center-class GPU designed for high-fidelity visualization and AI-assisted graphics. With RT Cores (ray tracing), Tensor Cores (AI effects), and 48 GB GDDR6 (expandable to 96 GB via NVLink), it’s ideal for studios, design firms, and enterprises building photoreal renders, digital twins, and video AI pipelines.
How does RTX 8000 compare to A100 or L40S?
A100 targets broad AI training/inference and HPC; L40S balances AI inference with modern graphics. RTX 8000 is the visualization specialist — best when ray tracing, viewport interactivity, and AI graphics (denoise/upscale) matter most, while still supporting CUDA/Tensor AI tasks.
Can RTX 8000 handle large scenes and assets?
Yes. It ships with 48 GB GDDR6 and supports NVLink to pool memory up to 96 GB, ideal for heavy DCC, CAD/BIM, and digital twin projects. This reduces out-of-core penalties and keeps frame times steady.
Is RTX 8000 suitable for AI workloads?
Absolutely for AI-assisted media — denoising, upscaling, segmentation, smart selection, and video enhancement. For massive LLM training, A100/H100 is a better fit; but RTX 8000 excels at graphics + AI pipelines with strong Tensor Core acceleration.
What kind of scaling does inhosted.ai offer for RTX 8000?
Scale from a few interactive workstations to large render farms. Autoscaling queues, regional placement, and quota controls make it simple to align capacity to production calendars without idle cost.
How are assets protected?
Deployments run in ISO 27001 and SOC-certified facilities with encryption in transit and at rest, private networking, per-tenant isolation, and image attestation. Your pre-release content stays secure.
Why run RTX 8000 in the cloud instead of on-prem only?
Burst for deadline weeks, place capacity near distributed teams, and avoid hardware refresh cycles. Inhosted.ai adds real-time telemetry, predictable billing, and a 99.95% SLA, so creative throughput scales without infrastructure overhead.