Blackwell Ultra bare metal built for reasoning-model inference and test-time scaling: 288 GB HBM3e, 8 TB/s, 15 PFLOPS of dense FP4 Tensor performance, 2x the attention throughput of B200, and fifth-generation NVLink at 1.8 TB/s per GPU. Reserve capacity now.
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B300 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 B300 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 B300 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 B300 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 Ultra silicon with 288 GB HBM3e, 8 TB/s bandwidth, 15 PFLOPS of dense FP4, and 1.8 TB/s NVLink per GPU.
NVIDIA's Blackwell Ultra GPU: 1.5x the dense FP4 compute and 1.6x the memory of B200, tuned for reasoning-model inference and test-time scaling.
Blackwell Ultra is NVIDIA's GPU for test-time scaling: 15 PFLOPS of dense FP4 Tensor performance per GPU, 1.5x B200, plus 2x the attention-layer throughput, so long chain-of-thought inference produces more tokens per second at lower latency per request.
288 GB at 8 TB/s per GPU, 2.3 TB across an 8-GPU HGX B300 node, keeps trillion-parameter weights, every expert of a Mixture-of-Experts model, and long-context KV caches resident on one node instead of sharded across hosts.
1.8 TB/s of NVLink bandwidth per GPU and NVSwitch all-to-all connectivity let 8x B300 nodes serve one model as a single coherent accelerator, with tensor and expert parallelism that never crosses PCIe.
FP4 micro-tensor scaling halves the memory footprint of FP8 weights while preserving accuracy; TensorRT-LLM, NVIDIA Dynamo, vLLM and SGLang expose the FP4 kernels for Llama, DeepSeek, Qwen and proprietary models.
The RAS Engine predicts faults before they interrupt a run, Confidential Computing protects data in GPU memory, and the Decompression Engine accelerates data loading for analytics and retrieval pipelines.
Single-tenant servers with full root and IPMI access, dual AMD EPYC or Intel Xeon hosts, NVMe storage, unmetered 1/10/25 Gbps uplinks, no setup fee, and no noisy neighbours, with NVLink topology you control.
From reasoning-model serving to trillion-parameter MoE inference and frontier training, where 8x B300 nodes pay for themselves.
Serve DeepSeek-R1-class and other long chain-of-thought models where test-time compute dominates; 2x attention throughput and dense FP4 cut the cost per reasoning token.
288 GB per GPU holds the KV caches of long context windows and many concurrent agent sessions without evicting to host memory, keeping time-to-first-token predictable.
Keep every expert of a Mixture-of-Experts model resident across 2.3 TB of HBM3e on a single NVLink node and route tokens at NVSwitch speed.
Pre-train and fine-tune on 8x NVLink nodes; 4.5 PFLOPS of dense FP8 per GPU and 2.3 TB of memory per node reduce the host count for a given model size.
Train and serve vision-language, diffusion and video-generation models whose activations and context outgrow 180 GB cards.
Run multi-tenant inference services with MIG partitions, Confidential Computing and NIM microservices on dedicated hardware you control.
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Availability and reservations, B300 vs B200, 8x NVLink nodes, pricing, software compatibility, power, FP64, and operating systems.
B300 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.
B300 is Blackwell Ultra, the same dual-die design as B200 with more memory and more inference compute: 288 GB HBM3e vs 180 GB, 8 TB/s vs 7.7 TB/s, 15 PFLOPS vs 9 PFLOPS of dense FP4, and 2x the attention-layer throughput. NVLink stays at 1.8 TB/s per GPU and TDP rises from 1,000 W to 1,400 W. FP64 throughput is reduced, so B300 targets reasoning and long-context inference while B200 remains the better pick if you also need double precision.
Yes. B300 ships as an SXM module on HGX B300 baseboards, so 8x configurations with NVSwitch and 2.3 TB of HBM3e 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 Ultra runs the same CUDA programming model; existing CUDA 12 builds, PyTorch, JAX, TensorFlow and TensorRT workloads run unchanged, and TensorRT-LLM, NVIDIA Dynamo, vLLM and SGLang add FP4 kernels when you are ready to use them.
Our GPU racks are provisioned for high-density, high-power accelerators; an 8x B300 node is deployed with the power feeds and cooling its system design requires, whether liquid or air. You do not need to plan facilities, only the workload.
No. Blackwell Ultra trades double-precision throughput for inference compute, with FP64 around 1.2 TFLOPS per GPU. For CFD, climate, molecular dynamics and other FP64 workloads choose H200, H100 or AMD MI210; choose B300 when the workload is reasoning-model inference, long-context serving or low-precision training.
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.