Blackwell-generation bare metal for frontier training and trillion-parameter inference: 180 GB HBM3e, 7.7 TB/s, second-generation Transformer Engine with FP4, and fifth-generation NVLink at 1.8 TB/s per GPU. Reserve capacity now.
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B200 servers are landing in our data centers soon. Leave your details and our engineers will reserve a configuration for you, confirm lead times, and quote single-GPU, 4x and 8x NVLink builds with volume and committed-term discounts.
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Every RedSwitches NVIDIA B200 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.
Reservations for NVIDIA B200 are free and non-binding. An engineer confirms the lead time, holds the hardware for you, and sends a quote before you commit to anything.
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 B200 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 |
Blackwell dual-die silicon with 180 GB HBM3e, 7.7 TB/s bandwidth, FP4 Transformer Engine, and 1.8 TB/s NVLink per GPU.
The first Blackwell data center GPU: double the NVLink bandwidth of H100, 180 GB of HBM3e, and FP4 inference that changes the cost per token.
Second-generation Transformer Engine adds FP4 with micro-tensor scaling: 18 PFLOPS of FP4 Tensor performance per GPU, so trillion-parameter models serve more tokens per second per watt than any Hopper card.
180 GB of HBM3e at 7.7 TB/s per GPU, 1.4 TB across an 8-GPU node, keeps full-precision weights, KV cache, and long contexts resident without sharding across hosts.
1.8 TB/s of NVLink bandwidth per GPU, double H100, and NVSwitch all-to-all connectivity let 8x B200 nodes train and serve as one coherent accelerator.
Two reticle-limited dies joined by a 10 TB/s chip-to-chip link behave as a single CUDA device: no NUMA tuning, no split kernels, full 180 GB addressable from one process.
The RAS Engine predicts faults before they interrupt a run, Confidential Computing extends TEE protection to GPU memory, and the Decompression Engine speeds data loading by up to 6x for analytics pipelines.
Single-tenant servers with full root access, dual AMD EPYC or Intel Xeon hosts, NVMe storage, unmetered uplinks, and no noisy neighbours, with NVLink topology you control.
From trillion-parameter training to FP4 serving and agentic AI platforms, where 8x B200 nodes pay for themselves.
Pre-train and fine-tune frontier models on 8x NVLink nodes; FP8 and FP4 training paths cut time-to-accuracy versus Hopper clusters.
Serve Llama, DeepSeek, Mixtral and proprietary models with TensorRT-LLM or NVIDIA Dynamo in FP4, maximising tokens per second per dollar.
Keep embeddings, reranker and generator on one node with 1.4 TB of HBM3e and serve long-context RAG with predictable latency.
Train and serve vision-language, diffusion and video-generation models whose activations outgrow 80 GB cards.
37 TFLOPS FP64 per GPU with NVLink scaling for CFD, climate, molecular dynamics and Omniverse-scale simulation.
Run multi-agent systems with many concurrent model instances using MIG partitions and NIM microservices on dedicated hardware.
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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.
Availability and reservations, B200 vs H200, 8x NVLink nodes, pricing, software compatibility, power, and MIG.
B200 capacity is being installed across our data centers now. Submit the reservation form with your preferred configuration and region; our engineers confirm the lead time for that build, hold the hardware for you, and send a quote. Reservations are free and non-binding until you approve the quote.
B200 moves from Hopper to Blackwell: 180 GB HBM3e vs 141 GB, 7.7 TB/s vs 4.8 TB/s, FP16/BF16 Tensor throughput of 4.5 PFLOPS vs 1.98 PFLOPS, and a new FP4 precision that H200 does not have. NVLink doubles to 1.8 TB/s per GPU. For inference-heavy fleets the FP4 path typically delivers the largest gain; for FP64 HPC the two are close, so H200 remains the value option for scientific workloads that cannot use low precision.
Yes. B200 ships as an SXM module on HGX B200 baseboards, so 8x configurations with NVSwitch are the native form factor. We also quote single-GPU and 4x builds. Tell us your target topology in the reservation form and we will size the host CPUs, RAM, NVMe and uplinks around it.
Pricing is quoted per configuration because host CPU, memory, storage and uplink choices vary widely. 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.
Yes. Blackwell runs the same CUDA programming model; existing CUDA 12 builds, PyTorch, JAX, TensorFlow and TensorRT workloads run unchanged, and NVIDIA AI Enterprise, NIM and TensorRT-LLM add FP4 kernels when you are ready to use them.
Our GPU racks are provisioned for high-density, high-power accelerators; an 8x B200 node is deployed with the power feeds and cooling it needs. You do not need to plan facilities, only the workload.
Yes. Each B200 can be partitioned into up to 7 MIG instances of 23 GB, and Confidential Computing with TEE-I/O protects data in GPU memory, useful for private inference services and regulated workloads.
Ubuntu, Debian, Rocky/AlmaLinux or your own ISO, with the current NVIDIA data center driver, CUDA toolkit, container runtime and Fabric Manager for NVLink pre-installed on request, so the node is ready for your containers on day one.
No problem. Our talented engineers will consult, architect, migrate, manage, and do whatever it takes to help your business grow and succeed.