A proven 48 GB professional card at the lowest entry price in our range. Pair two over NVLink to pool 96 GB for scenes that won't fit anywhere else — ideal for studios, architects and colleges moving render work off ageing workstations. Run overnight render queues, give students pro GPUs, or open huge BIM models — and stop paying when the project ends.
Quick answer · Updated September 2026
Is the Quadro RTX 8000 still good for rendering in 2026?
Yes, for budget rendering. The NVIDIA Quadro RTX 8000 has 48 GB of GDDR6 memory and RT cores, and two cards joined by NVLink share 96 GB. XcellHost rents it from ₹34,900 a month (excl. GST) — the lowest-cost 48 GB GPU in our range for V-Ray, Corona, Redshift, CAD and teaching labs.
Key takeaways
Lowest entry price for a 48 GB professional GPU
NVLink pools 96 GB across two cards
Great for OptiX renderers and CAD/BIM
Not suited to modern LLM training (no FP8/BF16)
Best for:Arch-viz renderingCAD & BIMEducation labsRender queues
Rent RTX 8000 Cloud GPUs
Move rendering, CAD and visualization workloads to affordable professional GPUs hosted in India.
Start with ₹20,000 free credits
Get RTX 8000 Cloud GPUs access in minutes
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Flexible plans for every workload
RTX 8000 Cloud GPU Plans
Select your billing period and choose the GPU configuration that fits your team. Prices start at ₹34,900/month.
For single users & PoC · 1 GPU
1×
RTX 8000GPU Cloud Lite
Server Type
Dedicated GPU VM
GPU
1 × 48 GB
Virtual CPU
8 vCPU
Memory
48 GB
NVMe Storage
500 GB
Network Port
1 Gbps
Dedicated IP
1
Operating System
Ubuntu 22.04 / Win Server 2025
Drivers
CUDA pre-installed
Protection
Virtual Firewall + Anti-DDoS
Endpoint Security
Acronis Cyber Protect Cloud
Support
24×7
₹34,900+GST · Monthly billing≈ ₹60/hr on demand
For single users & PoC · 1 GPU
1×
RTX 8000GPU Cloud Standard
Server Type
Dedicated GPU VM
GPU
1 × 48 GB
Virtual CPU
16 vCPU
Memory
96 GB
NVMe Storage
1000 GB
Network Port
1 Gbps
Dedicated IP
1
Operating System
Ubuntu 22.04 / Win Server 2025
Drivers
CUDA pre-installed
Protection
Virtual Firewall + Anti-DDoS
Endpoint Security
Acronis Cyber Protect Cloud
Support
24×7
₹44,900+GST · Monthly billing≈ ₹77/hr on demand
For teams & multi-GPU · 2 GPUs
2×
RTX 8000GPU Cloud Duo
Server Type
Dedicated GPU VM
GPU
2 × 48 GB
Virtual CPU
32 vCPU
Memory
192 GB
NVMe Storage
2000 GB
Network Port
1 Gbps
Dedicated IP
1
Operating System
Ubuntu 22.04 / Win Server 2025
Drivers
CUDA pre-installed
Protection
Virtual Firewall + Anti-DDoS
Endpoint Security
Acronis Cyber Protect Cloud
Support
24×7
₹86,500+GST · Monthly billing≈ ₹148/hr on demand
For training & render farms · 4 GPUs
4×
RTX 8000GPU Cloud Quad
Server Type
Dedicated GPU VM
GPU
4 × 48 GB
Virtual CPU
64 vCPU
Memory
384 GB
NVMe Storage
4000 GB
Network Port
1 Gbps
Dedicated IP
1
Operating System
Ubuntu 22.04 / Win Server 2025
Drivers
CUDA pre-installed
Protection
Virtual Firewall + Anti-DDoS
Endpoint Security
Acronis Cyber Protect Cloud
Support
24×7
₹1,69,000+GST · Monthly billing≈ ₹289/hr on demand
Indicative pricing in INR, exclusive of 18% GST. Plan codes: XG.RTX8K.1-8, XG.RTX8K.1-16, XG.RTX8K.2-32-NVL, XG.RTX8K.4-64-NVL.
Hourly or monthly? Work it out.
Tell us how much you'll actually use the GPU and we'll show the cheaper way to pay.
Pay-as-you-go₹10,560
Monthly plan₹34,900
1-year plan (per month)₹31,410
Go hourly — you'd save ₹24,340 a month versus the monthly plan.
Indicative, excl. GST.
Key features of RTX 8000 on XcellHost
NVLink memory poolingBridge two cards to share 96 GB — renderers like V-Ray and Redshift treat them as one large memory pool.
The most affordable 48 GBGet the memory headroom of a flagship at a fraction of the monthly cost — right for steady render queues.
RTX ray tracing72 RT cores and 11 GRays/s accelerate OptiX-based renderers and interactive previews.
Great for labs and classroomsColleges and training institutes can give every student a pro GPU desktop without a hardware refresh.
Render-queue readyDeadline, Backburner and Flamenco setups with shared NVMe project storage.
Lab schedulingTimetable-based access so a class of students shares GPUs fairly.
Lowest 48 GB priceThe most affordable way to get 48 GB of professional GPU memory.
Experts on callHelp with V-Ray, Corona, Redshift and OptiX tuning.
Why choose XcellHost for your RTX 8000 cloud GPU
Hosted in India
GPUs run in Indian data centres, so latency stays low and your data stays in the country for DPDP Act comfort.
INR billing with GST invoice
Pay in rupees and claim input tax credit — no forex swings or USD card charges.
99.95% uptime SLA
Enterprise power, cooling and network with a written uptime commitment.
24×7 human GPU experts
Real engineers on phone, WhatsApp and ticket — in English and Hindi.
Free setup & migration
We install drivers, CUDA and frameworks, and move your data and images for you.
Scale 1 → 4 GPUs
Start with one GPU for a proof of concept and add more as projects grow.
ISO 27001 security
Certified operations, virtual firewall, anti-DDoS and Acronis endpoint protection.
No surprise bills
Flat plans include storage, a public IP and bandwidth — no hidden egress charges.
Outcomes you can plan around
96 GB
Pooled with NVLink
Render scenes that crash 24 GB cards, without splitting them.
2×
The memory of RTX 6000
48 GB versus 24 GB for textures, geometry and caches.
₹34,900
Monthly entry price
The lowest-cost 48 GB GPU in our cloud range, excl. GST.
24×7
Render queue uptime
Leave long renders running overnight in a Tier IV-class facility.
Figures are based on NVIDIA's published specifications and XcellHost's indicative pricing.
What are the NVIDIA Quadro RTX 8000 specifications?
1
Display outputs
Four DisplayPort outputs; in the cloud these drive your remote virtual workstation via NICE DCV, Parsec or HP Anyware.
2
48 GB ECC memory
48 GB GDDR6 with ECC — double the Quadro RTX 6000 — for texture-heavy scenes and large CAD assemblies.
3
NVLink bridge
Joins two cards at high bandwidth so renderers and training jobs see one large 96 GB memory pool.
4
Blower cooling
Exhausts heat out of the chassis, so cards pack densely in 2- and 4-GPU servers without thermal throttling.
5
PCIe Gen 3 x16
Standard host interface — plenty for rendering, where work stays on the GPU.
Architecture
NVIDIA Turing
GPU memory
48 GB GDDR6 with ECC
Memory bandwidth
672 GB/s
CUDA cores
4,608
Tensor cores
576
RT cores
72
FP32
16.3 TFLOPS
Tensor performance
130.5 TFLOPS
Ray tracing
11 Giga Rays/s
NVLink
2-way, 100 GB/s, 96 GB pooled
Interconnect
PCIe Gen 3 x16
Form factor
Dual-slot, active
Figures per NVIDIA's published specifications.
Performance
RTX 8000 against other Turing-generation cards — published specifications, side by side.
RTX 8000
48
Quadro RTX 6000
24 +100%
Quadro RTX 5000
16 +200%
Quadro RTX 4000
8 +500%
GPU Workstation On-Premises VS RTX 8000 On Cloud
Buying your own workstation
XcellHost GPU Cloud
₹8–10 lakh+ upfront hardware capex
Monthly OPEX from ₹34,900 — no capex
Hardware ages out in about three years
Move to newer GPUs whenever you're ready
Power, cooling and UPS are your problem
Tier-IV class data-centre power and cooling
Usable only at the office desk
Access from office, home or site, on any device
Manual backups, if any
Snapshot and Acronis backup options
Needs in-house IT to maintain
Managed 24×7 by certified experts
One faulty part stops all work
Hardware replacement backed by an SLA
Fixed capacity, idle most nights
Scale up for deadlines, down when done
Launch RTX 8000 In The Cloud 4 Easy Steps
01
Share your workload
Tell us the model, scene or software you'll run and your hours of use. We reply with a sizing note and a GST-ready quote.
02
Pick a plan and term
Choose hourly for a proof of concept, or a monthly to 1-year RTX 8000 plan. KYC and a PO are all we need.
03
We deliver your GPU server
We provision the RTX 8000 with your OS, drivers, CUDA and frameworks, then share SSH or remote-desktop access.
04
Run, monitor and scale
Track GPU use from the portal, call 24×7 support any time, and add GPUs as projects grow.
3D rendering & animationArch-viz, product shots and animation frames with V-Ray, Corona, Redshift or Cycles.
CAD & BIMLarge Revit, Tekla and Navisworks models for AEC firms.
Virtual workstationsRemote design desktops for small studios and freelancers.
Education & training labsPro GPUs for animation, VFX and engineering courses.
Video post-production4K/8K editing, grading and effects.
Entry-level AIClassic CNNs, inference and experimentation on a budget.
SimulationMemory-hungry engineering and scientific jobs.
Platforms & workloads covered
Windows Server
Ubuntu Linux
Docker
Kubernetes
Jupyter
Any browser (RDP/DCV)
Case studies — what teams achieve
VS
Overnight render queue for real-estate launches
Visualisation studio, 25 artists · Arch-viz · HyderabadIllustrative case study
Challenge
Builder clients wanted dozens of 4K stills and a fly-through for each launch. Local GPUs ran out of memory on dense landscaping scenes and the office couldn't add more power or cooling.
What we set up
Two XG.RTX8K.2-32-NVL nodes with NVLink pooling, V-Ray and Deadline render manager, and a shared NVMe volume synced from the studio.
Configuration: 2 × XG.RTX8K.2-32-NVL, monthly
96 GBscene memory with NVLink
2.8×more frames rendered per night
0out-of-memory crashes on launch scenes
AV
A pro GPU for every student without a lab refresh
Animation & VFX institute · Education · KolkataIllustrative case study
Challenge
The institute's lab PCs were too old for Maya, Houdini and Unreal coursework. A hardware refresh for 60 seats was out of budget this year.
What we set up
Shared XG.RTX8K.1-8 virtual desktops scheduled by batch timetable, streamed to existing lab PCs and students' laptops.
Configuration: 20 × XG.RTX8K.1-8 on a 12-month term
60students on pro GPUs
65%lower cost than a lab refresh
24×7access for project work
CE
Large BIM and point-cloud models for metro projects
Civil engineering consultancy · Infrastructure · MumbaiIllustrative case study
Challenge
Engineers worked with laser-scanned point clouds of metro stations that exceeded their workstations' memory, forcing them to split models and lose context.
What we set up
XG.RTX8K.1-16 workstations with Revit, Recap and Navisworks, next to a high-throughput file store in the same zone.
Security for Cloud Backup is built into how the service is delivered, not bolted on afterwards. Workloads run in Indian Tier-4 datacenters with N+1 power and cooling, so the failure of any single component does not reach your session.
NVIDIA
