Rent an RTX 6000 Ada for workstation-tier 48 GB with FP8 tensor paths. 48 GB ECC + Ada FP8 + 4th-gen RT cores at 300 W — roughly 2× the transformer throughput of prior-gen 48 GB workstation silicon, single-card 70B FP8 serving at ~620 tok/s, production text-to-3D rendering with denoised path tracing. Billed per-minute, paid in BTC, USDT/USDC or CLORE. The studios' upgrade path when prior workstation throughput becomes the bottleneck.
6000 Ada is the workstation-grade 48 GB card — twice the memory of a 3090, all with ECC, all on certified drivers. Mid-tier in price, no-nonsense in production.
Roughly 2× A6000 transformer throughput at the same 300 W envelope and 48 GB ECC, plus 4th-gen RT cores for VFX. The studios' bridge between A6000-class workloads and full H100 pricing — FP8 paths fit 70B serving on a single card without hyperscaler-tier rates.
48 GB is enough for production-scale Houdini scenes, Blender Cycles with full geometry, and 8K video pipelines. OptiX accelerated.
48 GB hosts 13B FP16 + 7B FP16 on the same card with batched serving. ECC catches the bit flips that crash long-running endpoints.
When 24 GB is a constraint and you don't need HBM bandwidth, 6000 Ada is the answer. The cheapest path to a single-card 48 GB workstation on the marketplace.
// prices are spot-market lows · refreshed every 60 s
Every server is priced by its host. These are the live floors across the marketplace — you'll see hundreds of variants once you're in.
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Filter the marketplace by RTX 6000 Ada, country, GPU count, reliability score, network speed.
Choose a Docker image — PyTorch, vLLM, ComfyUI, Blender — or paste your own.
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Per-minute billing rounds to the second. Stop the instance and the meter stops with it.
Roughly 2× transformer throughput at the same 300 W envelope and 48 GB ECC. Ada's FP8 tensor cores and 4th-gen RT make it the upgrade for studios already running A6000-class workloads who need more headroom without moving to H100 pricing.
ECC memory catches single-bit errors silently in flight - mandatory for production CAD pipelines, V-Ray and Octane farms, regulated medical or financial ML, and any research where bit-flip integrity affects results. Pro cards (A4000/A5000/A6000/RTX 6000 Ada/A40) also carry ISV certifications consumer cards do not. If your client SLA references ECC or ISV validation, the consumer 4090 disqualifies.
The NVIDIA RTX A-series and RTX 6000 Ada carry full ISV certifications: V-Ray, Octane, SolidWorks, Rhino, DaVinci Resolve, ANSYS, COMSOL, and the Adobe Creative Cloud chain. Consumer Ada cards (4090/5090) are not on those lists. If your renderer's support matrix excludes GeForce, you need a pro card - which is exactly what CLORE.AI lists in this tier.
Yes - the A5000 and A6000 expose NVLink in pairs (no Switch fabric), giving 112 GB/s peer bandwidth and unified memory across two cards (48 GB on A5000 pair, 96 GB on A6000 pair). Filter by 'NVLink' in the marketplace to find listings. The RTX 6000 Ada and A40 do not have NVLink connectors but pair via PCIe with FSDP.
Pro cards (A6000 / RTX 6000 Ada / A40) give you 48 GB ECC at one-quarter to one-third the rental price of an A100 80GB and one-fifth of an H100. You give up HBM bandwidth and FP8 tensor cores, but for production rendering, virtual workstations, and 13B-34B inference under ECC the pro tier hits the price-performance sweet spot.
The cards themselves run cooler and quieter at lower TDP - A4000 is single-slot 140W, A5000 is dual-slot 230W, A6000 is 300W with a blower-style cooler designed for rack airflow. CLORE.AI is a remote rental platform, so the noise question only applies to your own studio if you're hosting; pro cards are explicitly the quieter pick there.
48 GB ECC + Ada FP8 + 4th-gen RT — a workstation H100-lite for studios, VFX, and 34B fine-tuning.
4th-gen RT cores accelerate VFX final-frame renders — the upgrade studios pick when A6000 thermal/perf becomes the bottleneck.
Read the guide →Ada FP8 path roughly doubles A6000 throughput on transformer training at the same 300 W envelope.
Read the guide →FP8 quant fits 70B in 48 GB — cheaper-than-H100 path for serving 70B at moderate scale.
Read the guide →Side-by-side specs across the pro tier. Click any row to see that GPU.
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