Ada Lovelace bare metal for visualization, rendering, video AI and LLM inference: 48 GB GDDR6 with ECC, 960 GB/s, 91.1 TFLOPS FP32 and 1,457 AI TOPS in a 300 W card. Online in 1 hour when in stock, on single-tenant servers.
Single and dual RTX 6000 Ada builds on bare metal. No setup fee, full root and IPMI access, and unmetered 1/10/25 Gbps uplinks.
Enterprise NVIDIA GPUs on bare metal for AI and HPC.
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Every RedSwitches NVIDIA RTX 6000 Ada server is single-tenant bare metal with full root and IPMI access, unmetered 1, 10 or 25 Gbps bandwidth, no setup fee, no bandwidth overage and a flat monthly price. Stocked builds are online in about 1 hour, larger configurations up to 8 GPUs per node are built to order, volume and 6/12-month committed-term discounts apply, payments include crypto, and engineers answer 24/7.
Stocked NVIDIA RTX 6000 Ada builds are online in about 1 hour. Configurations not in stock are built to order, and an engineer confirms the lead time before you commit.
No setup fee and a flat monthly price for the whole server. No per-hour meter and no surprise line items, so GPU spend is forecastable.
Unmetered 1, 10 or 25 Gbps uplinks are included, and whatever port speed you choose you can use all of it: no overage charges and no egress bills, ever. Moving datasets, checkpoints and model weights in and out costs nothing extra.
Single-tenant hardware with root and IPMI access. You choose the OS, drivers, CUDA or ROCm version, and the NVLink or MIG layout, and a private VLAN can link your RedSwitches servers.
Single and multi-GPU nodes, up to 8 GPUs per server with NVLink where the card supports it. Volume discounts on multi-GPU and multi-server orders, plus 6 and 12-month term savings.
Live chat, Telegram and email answered by engineers around the clock. Pay by card, PayPal, bank wire or crypto with no KYC, in 20+ Tier III data centers across the EU, US and Asia.
Same accelerator, different economics: what changes when the GPU sits in a dedicated server you control instead of a metered instance.
| RedSwitches RTX 6000 Ada server | Typical cloud GPU instance | |
|---|---|---|
| Billing | Flat monthly price per server | Per-hour or per-second metering |
| Bandwidth | Unmetered 1/10/25 Gbps, use the full port, no overage or egress fees | Egress billed per GB |
| Private networking | Private VLAN between your servers on request | Paid VPC and peering constructs |
| Setup fee | $0 | Varies by instance and region |
| Tenancy | Single-tenant bare metal | Shared, virtualised hosts |
| Access | Root and IPMI, your OS and drivers | Hypervisor-managed images |
| Multi-GPU | Up to 8 per node, NVLink where supported, built to order | Fixed instance shapes |
| Payments | Card, PayPal, bank wire, crypto | Card or invoice |
| Support | 24/7 engineers on chat, Telegram and email | Ticket tiers, paid support plans |
The full Ada Lovelace AD102 die with 48 GB GDDR6 ECC at 960 GB/s, in a 300 W dual-slot PCIe Gen 4 card.
Workstation-class graphics, FP8 Tensor inference, triple AV1 media engines and vGPU support on one 300 W card.
The RTX 6000 Ada is the complete Ada Lovelace AD102 GPU: 18,176 CUDA cores, 568 Tensor Cores, 142 RT Cores and 48 GB of GDDR6 with ECC at 960 GB/s, so large scenes, 30B-parameter language models and 8K timelines stay resident on one card.
1,457 AI TOPS of FP8 Tensor throughput with sparsity and 728 TFLOPS of FP16/BF16 accelerate LLM and diffusion inference, fine-tuning and computer vision, with TensorRT handling FP8 and INT8 quantization.
210.6 TFLOPS of RT Core performance renders path-traced scenes interactively in Omniverse, Blender, V-Ray, Redshift, Arnold and Unreal Engine, and turns a single server into a fast final-frame render node.
Three NVENC encoders with AV1 and three NVDEC decoders transcode many simultaneous streams on one card; AV1 delivers higher quality per bit than H.264 and H.265, which lowers bandwidth for live video, cloud gaming and video AI pipelines.
NVIDIA RTX Virtual Workstation support partitions the 48 GB frame buffer into multiple GPU-accelerated virtual desktops, so one server hosts a team of CAD, DCC or data science users with certified professional drivers.
A dual-slot, active-cooled, 300 W card on PCIe Gen 4 x16 fits standard server chassis in single and dual-GPU builds. Every server is single-tenant with full root and IPMI access, NVMe storage, unmetered uplinks and no setup fee.
From Omniverse and render farms to LLM inference and VDI, see where the RTX 6000 Ada fits your team.
Interactive ray-traced design review, digital twins and USD-based collaboration in NVIDIA Omniverse with 48 GB for full-fidelity scenes.
Serve LLMs up to about 30B parameters at FP8 or INT8, diffusion and vision models on one card; add a second RTX 6000 Ada for larger models sharded across both GPUs.
Real-time video analytics, live transcoding and cloud streaming using three NVENC with AV1 and three NVDEC engines alongside Tensor Core inference.
RTX Virtual Workstation vGPU profiles give remote engineers, artists and analysts certified GPU acceleration from a single dedicated server.
SOLIDWORKS, CATIA, Ansys, Abaqus and GPU-accelerated solvers benefit from 91.1 TFLOPS FP32, ECC memory and ISV-certified drivers.
Dual RTX 6000 Ada render nodes with 96 GB of combined memory for Blender Cycles, V-Ray, Redshift, Arnold and OctaneRender batch jobs.
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Port speeds on cloud were capped and shady. With RS I actually get the 25Gbps they say. No throttle bs.
Set up multiple Solana + Avalanche validators through them. Hardware was clean, latency was low (especially in Europe), and uptime’s been 100% so far.
As a sysadmin, I care more about control than flashy dashboards. RedSwitches gives me root access, IPMI, and actual hardware specs I can configure. Good for serious users.
RedSwitches gave us full control over our infrastructure without the vendor lock-in we kept running into with cloud hosts. Customizable builds, fast provisioning, and actual humans handling support tickets. It’s refreshing.
My website works smoothly, thanks to their 99.99% uptime guarantee. The support team is another plus for me, as I always have been able to get help whenever I needed it in just 5 minutes on average.
Deployed a few Ethereum and Bitcoin nodes here. Uptime’s been flawless, and sync speed was great thanks to their storage config.
Been using RedSwitches for 6 months now for my small game server biz. Uptime has been great, and I haven’t run into any hidden charges.
Using the storage servers to archive logs and snapshots from our AI pipeline… I also love that I could pick the datacenter closest to our team.
Support is super responsive. I had an issue with an OS reinstall and they jumped in within 10 minutes… Transparent pricing = win.
They have an instant delivery section… they delivered it within 120 mins with all my requirements fulfilled (OS/RAID/Software configured etc).
With servers available in numerous strategic locations, RedSwitches offers exceptional versatility and performance for our company’s diverse hosting needs. Plus, their no setup fee policy really helps keep costs down.
The dedicated server I got from RedSwitches has been incredibly reliable and fast. Their bare metal cloud solutions offer excellent performance, and the cloud VPS options are perfect for scaling. Highly recommended!
Absolutely delighted with RedSwitches! The setup was quick and free, and the fact that they accept all major payment gateways made the process seamless.
Very good experience using their bare metal servers. Their customer service is one of the finest I have experienced - always prompt at resolving troubles. Highly recommend.
Common questions about RTX 6000 Ada versus L40S and L4, model sizes, NVLink and MIG, vGPU, multi-GPU builds, and provisioning.
Both cards use the same AD102 silicon with 48 GB of memory, so compute is nearly identical: 728 TFLOPS FP16 with sparsity on the RTX 6000 Ada versus 733 TFLOPS on the L40S. The RTX 6000 Ada has faster memory (960 GB/s versus 864 GB/s), a lower 300 W maximum power, active cooling, four DisplayPort 1.4 outputs and RTX Virtual Workstation vGPU support, which makes it the better pick for visualization, VDI and mixed graphics plus AI. The L40S is a 350 W passive server card built for dense, headless AI and inference racks. See our NVIDIA L40S GPU server page for that configuration.
With 48 GB of GDDR6 you can serve language models up to about 30 billion parameters at FP8 or INT8 precision on a single card, along with diffusion and vision models, with room left for KV cache and batching. A dual RTX 6000 Ada server provides 96 GB in total, so larger models can be sharded across both GPUs over PCIe Gen 4 with tensor or pipeline parallelism.
No. The RTX 6000 Ada has no NVLink connector and does not support Multi-Instance GPU. Multi-GPU servers communicate over PCIe Gen 4 x16, which is sufficient for inference sharding and render farms. For hardware partitioning, the card supports NVIDIA vGPU with RTX Virtual Workstation instead of MIG, which splits the frame buffer into virtual GPUs for multiple users or tenants.
Yes. It is one of the few Ada Lovelace cards with NVIDIA vGPU and RTX Virtual Workstation support, 48 GB of ECC memory and professional ISV-certified drivers. One dedicated server can host several remote engineers or artists running CAD, DCC and data science tools, each with a slice of GPU memory and full RTX acceleration.
Yes. Single and dual RTX 6000 Ada configurations are available, and our engineers can size host CPU, RAM, NVMe and uplinks for your workload. Volume discounts apply to multi-GPU and multi-server orders, and every GPU server qualifies for committed-term discounts on 6 and 12-month billing. Crypto, card, PayPal and bank wire are accepted.
Stocked RTX 6000 Ada builds are online in about 1 hour; configurations not in stock are built to order and our engineers confirm the lead time before you commit. You get full root and IPMI access to a single-tenant server with unmetered 1, 10 or 25 Gbps bandwidth and no setup fee. Choose Ubuntu, Debian, Rocky or AlmaLinux, Windows Server or your own ISO, and we preinstall the NVIDIA driver and CUDA toolkit on request. Browse our full GPU dedicated server range if you need a different accelerator.
The NVIDIA L4 is a 24 GB, 72 W card for low-power inference and video at scale. Choose the L4 when you need many inexpensive, energy-efficient streams or small models; choose the RTX 6000 Ada when you need 48 GB of memory, 91.1 TFLOPS FP32, ray tracing, display outputs or vGPU. See our NVIDIA L4 GPU server page for the lower-power option.
NVIDIA's RTX PRO 6000 Blackwell is the next-generation workstation GPU and is listed on our site as coming soon, with reservations open. The RTX 6000 Ada ships today from stock, is fully supported by current CUDA, TensorRT and Omniverse releases, and remains the proven choice for visualization, video and inference workloads. Talk to our team if you want to start on RTX 6000 Ada now and move to Blackwell later.
No problem. Our talented engineers will consult, architect, migrate, manage, and do whatever it takes to help your business grow and succeed.