Two cards share this name and only one of them is on this page. The RTX 4070 Ti holds 12 GB of GDDR6X; the RTX 4070 Ti SUPER holds 16 GB and is a separate product whose name contains yours, so the two share a filter unless you pin the VRAM. What the Ti buys over a plain 4070 is cores, 7,680 against 5,888, on an identical memory system. That makes it a compute card rather than a capacity one, and it decides which jobs are worth the premium.
The 4070 Ti and the plain 4070 hold the same 12 GB at the same 504 GB/s. Everything separating them is arithmetic throughput, so the workloads below are the ones where arithmetic is what you are waiting on.
The Ti adds roughly 30% more CUDA cores than a plain 4070 and changes nothing else. Same 12 GB, same GDDR6X, same 504 GB/s bus, same AD104 die. Anything that was memory-bound on a 4070 stays memory-bound here; anything that was waiting on arithmetic gets faster in proportion.
Denoising steps are dense arithmetic over tensors that already live in VRAM, which is the textbook compute-bound case. SDXL at 1024 by 1024 and Flux.1 schnell both sit inside 12 GB at batch 1 to 2 and finish sooner with more cores behind them.
Llama 3 8B at FP16 comes to about 16 GB and will not load. Mistral 7B at FP16 is about 14 GB and will not either. Quantise 8B to FP8 or INT8 and it drops to roughly 8 GB, which works well; 13B at INT8 is about 13 GB and leaves nothing for the cache.
Both are AD104 parts running 12 GB of GDDR6X on a 504 GB/s bus. The Ti spends 85 W more to drive 1,792 extra CUDA cores. The 4080 is the next real capacity step; the 3080 shows what the previous generation traded away.
the RTX 4070 Ti SUPER is a separate 16 GB product and is not in this table
On 21 September 2026 the median on-demand rate and the median spot rate for an RTX 4070 Ti were the same number across the 40 servers quoting a price. On this card spot is not automatically the cheaper route.
The GPU filter matches the model string as a substring, which is the one place the SUPER naming catches people out.
Twelve gigabytes here, sixteen on the SUPER. Settle that before you filter, because one model name contains the other.
Filtering on the short form also returns plain 4070s, and the full name still returns the SUPER, which shares the string. Pin the VRAM filter to 12 GB and only genuine 4070 Ti listings are left.
Many of these machines carry several 4070 Ti cards. Prices here are per GPU-hour; the listing shows what the whole server costs.
Billing runs per minute from the moment the container comes up until you cancel the order. Nothing is committed in advance.
This page is the RTX 4070 Ti, which carries 12 GB of GDDR6X. The RTX 4070 Ti SUPER is a separate product with 16 GB, and because the marketplace GPU filter is a substring match, a search for RTX 4070 Ti returns SUPER listings alongside yours. Pinning the VRAM filter to 12 GB separates them. Four gigabytes decides whether an 8B model loads at FP16 at all, whether a diffusion graph holds a second ControlNet, and whether Flux.1 dev needs offloading. The names differ by one word; the workloads differ by a capacity class.
When the job is compute-bound and already fits. Both cards carry 12 GB at 504 GB/s, so neither loads a model the other cannot. What the Ti adds is 7,680 CUDA cores against 5,888, about 30% more, which shows up in diffusion sampling, batch image work and prompt processing. If your job is waiting on memory rather than on arithmetic, you are paying for cores you will not use.
Sampling-heavy ones. Every denoising step is dense arithmetic over a tensor that already sits in VRAM, so batch SDXL at 1024 by 1024, Flux.1 schnell runs and long ComfyUI graphs scale with core count rather than with bandwidth. Video models and upscalers behave the same way. Single-stream text generation does not, because it is limited by how fast weights can be read.
Not comfortably. Thirteen billion parameters are about 26 GB at FP16 and about 13 GB at INT8, which already exceeds the card before the KV cache and CUDA context are counted. Four-bit weights come to roughly 6.5 GB and do fit, with room for a modest context, at the quality cost four-bit quantisation carries. If 13B at INT8 is the requirement, this card is too small and a 16 GB or 24 GB board is the honest answer.
Yes, on on-demand orders, as long as every card in the server is the same model and the host has left partial rental switched on, which is the default. You choose how many GPUs you need and the price scales with your share of the machine, so one card of a four-card server costs a quarter of the whole-server rate. Spot orders still take the entire server, and a machine that mixes 4070 Ti and SUPER cards can only be rented whole.
It means most 4070 Ti machines hold more than one card. On 21 September 2026 the 43 listed servers carried 91 RTX 4070 Ti cards between them, and 28 of those servers were not rented. Every price on this page is per GPU-hour, derived from the whole-server price divided by the number of cards on it, so a four-card server at the median costs four times the figure shown if you take all of it.
The Ti's advantage over a plain 4070 only appears when arithmetic, not memory, is the limit. These three qualify, and the middle column says what each costs in VRAM.
The schnell variant is built around four sampling steps, so the run is short and dense. Flux.1 dev at fp16 is the sibling that will not sit in 12 GB.
Read the guide →Four-bit weights for a 7B model leave most of the card for optimizer state and batch, which is the fine-tuning size 12 GB carries without tricks.
Read the guide →Video is the first workload where 12 GB stops being enough on its own. The offload path works; a 16 GB board removes the need for it.
Read the guide →Card counts and medians are from the marketplace on 21 September 2026. The RTX 4070 Ti SUPER is a separate 16 GB product and does not appear in this table.
Walkthroughs on docs.clore.ai. Where one assumes more memory than this card has, the sections above say so.
Hosts price their own machines and are paid for every rented minute in BTC, USDT, USDC or CLORE.
Forty-three servers carried 91 of these cards on 21 September 2026, 28 of them unrented. The links below carry the 12 GB VRAM filter, which is what leaves the SUPER out of the results.